CDMS-EDA.ipynb

{"cells":[{"cell_type":"raw","metadata":{},"source":["---\n","title: Clinical Definite Multiple Sclerosis Detection\n","author: \"Nada Elmasry\"\n","date: \"2023/10/24\"\n","format: pdf\n","editor: visual\n","execute: \n","  echo: true\n","  message: false\n","  warning: false\n","bibliography: references.bib\n","---"]},{"cell_type":"code","execution_count":9,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:52.941806Z","iopub.status.busy":"2023-11-27T20:00:52.941396Z","iopub.status.idle":"2023-11-27T20:00:53.885656Z","shell.execute_reply":"2023-11-27T20:00:53.884592Z","shell.execute_reply.started":"2023-11-27T20:00:52.941775Z"},"trusted":true},"outputs":[],"source":["\n","import numpy as np\n","import pandas as pd\n","import matplotlib.pyplot as plt\n","%matplotlib inline\n","import seaborn as sns\n","from sklearn.decomposition import PCA\n","from sklearn.impute import SimpleImputer"]},{"cell_type":"markdown","metadata":{},"source":["### Project dataset:\n","\n","[Multiple Sclerosis Dataset](https://www.kaggle.com/datasets/desalegngeb/conversion-predictors-of-cis-to-multiple-sclerosis/data)\n","\n","### Dataset columns descriptions\n","\n","1. **ID**: Patient identifier (int)\n","2. **Age**: Patient Age in years (int)\n","3. **Schooling**: time the patient spent in school in years (int)\n","4. **Gender**: 1=male, 2=female\n","5. **Breastfeeding**: 1=yes, 2=no, 3=unknown \n","6. **Varicella**: 1=positive, 2=negative, 3=unknown\n","7. **Initial_Symptoms**: 1=visual, 2=sensory, 3=motor, 4=other, 5= visual and sensory, 6=visual and motor, 7=visual and others, 8=sensory and motor, 9=sensory and other, 10=motor and other, 11=Visual, sensory and motor, 12=visual, sensory and other, 13=Visual, motor and other, 14=Sensory, motor and other, 15=visual,sensory,motor and other\n","8. **Mono _or_Polysymptomatic**: 1=monosymptomatic, 2=polysymptomatic, 3=unknown\n","9. **Oligoclonal_Bands**: 0=negative, 1=positive, 2=unknown\n","10. **Lower-Limb Somatosensory Evoked Potentials (LLSSEP)**: 0=negative, 1=positive\n","11. **Upper-Limb Somatosensory Evoked Potentials (ULSEP)**:0=negative, 1=positive\n","12. **Visual Evoked Potentials (VEP)**:0=negative, 1=positive\n","13. **Brainstem Auditory Evoked Potentials (BAEP)**: 0=negative, 1=positive\n","14. **Periventricular_MRI**:0=negative, 1=positive\n","15. **Cortical_MRI**: 0=negative, 1=positive\n","16. **Infratentorial_MRI**:0=negative, 1=positive\n","17. **Spinal_Cord_MRI**: 0=negative, 1=positive\n","18. **Initial_EDSS**: Initial Expanded Disability Status \n","19. **Final_EDSS**: Final Expanded Disability Status \n","20. **Group**: 1=CDMS, 2=non-CDMS\n","\n","#### Important Definitions\n","\n","**Varicella**: Chicken box. A highly contagious disease caused by the initial infection with varicella zoster virus (VZV), a member of the herpesvirus family.\n","\n","**Brainstem Auditory Evoked Potentials**: very small auditory evoked potentials in response to an auditory stimulus, which are recorded by electrodes placed on the scalp.\n","\n","**Visual Evoked Potentials**: an evoked potential elicited by presenting light flash or pattern stimulus which can be used to confirm damage to visual pathway including retina, optic nerve, optic chiasm, optic radiations, and occipital cortex.\n","\n","**Oligoclonal bands**: bands of immunoglobulins that are seen when a patient's blood serum, or cerebrospinal fluid (CSF) is analyzed. They are used in the diagnosis of various neurological and blood diseases. \n","\n","**Somatosensory evoked potentials (SSEP)**: Somatosensory evoked potentials (SSEP) are recorded from the central nervous system following stimulation of peripheral nerves. \n","\n","**Expanded Disability Status Scale (EDSS)**: a method of quantifying disability in multiple sclerosis and monitoring changes in the level of disability over time."]},{"cell_type":"code","execution_count":10,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:53.887886Z","iopub.status.busy":"2023-11-27T20:00:53.887454Z","iopub.status.idle":"2023-11-27T20:00:53.930616Z","shell.execute_reply":"2023-11-27T20:00:53.929593Z","shell.execute_reply.started":"2023-11-27T20:00:53.887858Z"},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>Gender</th>\n","      <th>Age</th>\n","      <th>Schooling</th>\n","      <th>Breastfeeding</th>\n","      <th>Varicella</th>\n","      <th>Initial_Symptom</th>\n","      <th>Mono_or_Polysymptomatic</th>\n","      <th>Oligoclonal_Bands</th>\n","      <th>LLSSEP</th>\n","      <th>ULSSEP</th>\n","      <th>VEP</th>\n","      <th>BAEP</th>\n","      <th>Periventricular_MRI</th>\n","      <th>Cortical_MRI</th>\n","      <th>Infratentorial_MRI</th>\n","      <th>Spinal_Cord_MRI</th>\n","      <th>Initial_EDSS</th>\n","      <th>Final_EDSS</th>\n","      <th>group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>34</td>\n","      <td>20.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>61</td>\n","      <td>25.0</td>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>10.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>22</td>\n","      <td>20.0</td>\n","      <td>3</td>\n","      <td>1</td>\n","      <td>3.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>3</td>\n","      <td>2</td>\n","      <td>41</td>\n","      <td>15.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>7.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>4</td>\n","      <td>2</td>\n","      <td>34</td>\n","      <td>20.0</td>\n","      <td>2</td>\n","      <td>1</td>\n","      <td>6.0</td>\n","      <td>2</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Unnamed: 0  Gender  Age  Schooling  Breastfeeding  Varicella  \\\n","0           0       1   34       20.0              1          1   \n","1           1       1   61       25.0              3          2   \n","2           2       1   22       20.0              3          1   \n","3           3       2   41       15.0              1          1   \n","4           4       2   34       20.0              2          1   \n","\n","   Initial_Symptom  Mono_or_Polysymptomatic  Oligoclonal_Bands  LLSSEP  \\\n","0              2.0                        1                  0       1   \n","1             10.0                        2                  1       1   \n","2              3.0                        1                  1       0   \n","3              7.0                        2                  1       0   \n","4              6.0                        2                  0       1   \n","\n","   ULSSEP  VEP  BAEP  Periventricular_MRI  Cortical_MRI  Infratentorial_MRI  \\\n","0       1    0     0                    0             1                   0   \n","1       0    1     0                    0             0                   0   \n","2       0    0     0                    0             1                   0   \n","3       1    1     0                    1             1                   0   \n","4       0    0     0                    1             0                   0   \n","\n","   Spinal_Cord_MRI  Initial_EDSS  Final_EDSS  group  \n","0                1           1.0         1.0      1  \n","1                1           2.0         2.0      1  \n","2                0           1.0         1.0      1  \n","3                0           1.0         1.0      1  \n","4                0           1.0         1.0      1  "]},"execution_count":10,"metadata":{},"output_type":"execute_result"}],"source":["ms_df = pd.read_csv(\n","    \"data\\conversion_predictors_of_clinically_isolated_syndrome_to_multiple_sclerosis.csv\")\n","ms_df.head()"]},{"cell_type":"code","execution_count":11,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:53.932827Z","iopub.status.busy":"2023-11-27T20:00:53.932408Z","iopub.status.idle":"2023-11-27T20:00:53.962061Z","shell.execute_reply":"2023-11-27T20:00:53.961057Z","shell.execute_reply.started":"2023-11-27T20:00:53.932789Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["<class 'pandas.core.frame.DataFrame'>\n","RangeIndex: 273 entries, 0 to 272\n","Data columns (total 20 columns):\n"," #   Column                   Non-Null Count  Dtype  \n","---  ------                   --------------  -----  \n"," 0   Unnamed: 0               273 non-null    int64  \n"," 1   Gender                   273 non-null    int64  \n"," 2   Age                      273 non-null    int64  \n"," 3   Schooling                272 non-null    float64\n"," 4   Breastfeeding            273 non-null    int64  \n"," 5   Varicella                273 non-null    int64  \n"," 6   Initial_Symptom          272 non-null    float64\n"," 7   Mono_or_Polysymptomatic  273 non-null    int64  \n"," 8   Oligoclonal_Bands        273 non-null    int64  \n"," 9   LLSSEP                   273 non-null    int64  \n"," 10  ULSSEP                   273 non-null    int64  \n"," 11  VEP                      273 non-null    int64  \n"," 12  BAEP                     273 non-null    int64  \n"," 13  Periventricular_MRI      273 non-null    int64  \n"," 14  Cortical_MRI             273 non-null    int64  \n"," 15  Infratentorial_MRI       273 non-null    int64  \n"," 16  Spinal_Cord_MRI          273 non-null    int64  \n"," 17  Initial_EDSS             125 non-null    float64\n"," 18  Final_EDSS               125 non-null    float64\n"," 19  group                    273 non-null    int64  \n","dtypes: float64(4), int64(16)\n","memory usage: 42.8 KB\n"]}],"source":["ms_df.info()"]},{"cell_type":"code","execution_count":12,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:53.965478Z","iopub.status.busy":"2023-11-27T20:00:53.964826Z","iopub.status.idle":"2023-11-27T20:00:54.097010Z","shell.execute_reply":"2023-11-27T20:00:54.095686Z","shell.execute_reply.started":"2023-11-27T20:00:53.965440Z"},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Unnamed: 0</th>\n","      <th>Gender</th>\n","      <th>Age</th>\n","      <th>Schooling</th>\n","      <th>Breastfeeding</th>\n","      <th>Varicella</th>\n","      <th>Initial_Symptom</th>\n","      <th>Mono_or_Polysymptomatic</th>\n","      <th>Oligoclonal_Bands</th>\n","      <th>LLSSEP</th>\n","      <th>ULSSEP</th>\n","      <th>VEP</th>\n","      <th>BAEP</th>\n","      <th>Periventricular_MRI</th>\n","      <th>Cortical_MRI</th>\n","      <th>Infratentorial_MRI</th>\n","      <th>Spinal_Cord_MRI</th>\n","      <th>Initial_EDSS</th>\n","      <th>Final_EDSS</th>\n","      <th>group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>count</th>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>272.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>272.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>273.000000</td>\n","      <td>125.000000</td>\n","      <td>125.00000</td>\n","      <td>273.000000</td>\n","    </tr>\n","    <tr>\n","      <th>mean</th>\n","      <td>136.000000</td>\n","      <td>1.615385</td>\n","      <td>34.062271</td>\n","      <td>15.176471</td>\n","      <td>1.831502</td>\n","      <td>1.710623</td>\n","      <td>6.430147</td>\n","      <td>1.725275</td>\n","      <td>0.358974</td>\n","      <td>0.424908</td>\n","      <td>0.369963</td>\n","      <td>0.307692</td>\n","      <td>0.065934</td>\n","      <td>0.505495</td>\n","      <td>0.432234</td>\n","      <td>0.293040</td>\n","      <td>0.315018</td>\n","      <td>1.360000</td>\n","      <td>1.44800</td>\n","      <td>1.542125</td>\n","    </tr>\n","    <tr>\n","      <th>std</th>\n","      <td>78.952517</td>\n","      <td>0.487398</td>\n","      <td>11.114369</td>\n","      <td>4.244175</td>\n","      <td>0.874998</td>\n","      <td>0.732991</td>\n","      <td>4.222009</td>\n","      <td>0.494066</td>\n","      <td>0.558426</td>\n","      <td>0.495237</td>\n","      <td>0.483681</td>\n","      <td>0.462386</td>\n","      <td>0.248623</td>\n","      <td>0.500888</td>\n","      <td>0.496296</td>\n","      <td>0.455993</td>\n","      <td>0.465376</td>\n","      <td>0.587504</td>\n","      <td>0.65323</td>\n","      <td>0.499137</td>\n","    </tr>\n","    <tr>\n","      <th>min</th>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>15.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.00000</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>25%</th>\n","      <td>68.000000</td>\n","      <td>1.000000</td>\n","      <td>25.000000</td>\n","      <td>12.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>3.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.00000</td>\n","      <td>1.000000</td>\n","    </tr>\n","    <tr>\n","      <th>50%</th>\n","      <td>136.000000</td>\n","      <td>2.000000</td>\n","      <td>33.000000</td>\n","      <td>15.000000</td>\n","      <td>2.000000</td>\n","      <td>2.000000</td>\n","      <td>6.000000</td>\n","      <td>2.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.00000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>75%</th>\n","      <td>204.000000</td>\n","      <td>2.000000</td>\n","      <td>40.000000</td>\n","      <td>20.000000</td>\n","      <td>3.000000</td>\n","      <td>2.000000</td>\n","      <td>9.000000</td>\n","      <td>2.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>0.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>2.000000</td>\n","      <td>2.00000</td>\n","      <td>2.000000</td>\n","    </tr>\n","    <tr>\n","      <th>max</th>\n","      <td>272.000000</td>\n","      <td>2.000000</td>\n","      <td>77.000000</td>\n","      <td>25.000000</td>\n","      <td>3.000000</td>\n","      <td>3.000000</td>\n","      <td>15.000000</td>\n","      <td>3.000000</td>\n","      <td>2.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>1.000000</td>\n","      <td>3.000000</td>\n","      <td>3.00000</td>\n","      <td>2.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["       Unnamed: 0      Gender         Age   Schooling  Breastfeeding  \\\n","count  273.000000  273.000000  273.000000  272.000000     273.000000   \n","mean   136.000000    1.615385   34.062271   15.176471       1.831502   \n","std     78.952517    0.487398   11.114369    4.244175       0.874998   \n","min      0.000000    1.000000   15.000000    0.000000       1.000000   \n","25%     68.000000    1.000000   25.000000   12.000000       1.000000   \n","50%    136.000000    2.000000   33.000000   15.000000       2.000000   \n","75%    204.000000    2.000000   40.000000   20.000000       3.000000   \n","max    272.000000    2.000000   77.000000   25.000000       3.000000   \n","\n","        Varicella  Initial_Symptom  Mono_or_Polysymptomatic  \\\n","count  273.000000       272.000000               273.000000   \n","mean     1.710623         6.430147                 1.725275   \n","std      0.732991         4.222009                 0.494066   \n","min      1.000000         1.000000                 1.000000   \n","25%      1.000000         3.000000                 1.000000   \n","50%      2.000000         6.000000                 2.000000   \n","75%      2.000000         9.000000                 2.000000   \n","max      3.000000        15.000000                 3.000000   \n","\n","       Oligoclonal_Bands      LLSSEP      ULSSEP         VEP        BAEP  \\\n","count         273.000000  273.000000  273.000000  273.000000  273.000000   \n","mean            0.358974    0.424908    0.369963    0.307692    0.065934   \n","std             0.558426    0.495237    0.483681    0.462386    0.248623   \n","min             0.000000    0.000000    0.000000    0.000000    0.000000   \n","25%             0.000000    0.000000    0.000000    0.000000    0.000000   \n","50%             0.000000    0.000000    0.000000    0.000000    0.000000   \n","75%             1.000000    1.000000    1.000000    1.000000    0.000000   \n","max             2.000000    1.000000    1.000000    1.000000    1.000000   \n","\n","       Periventricular_MRI  Cortical_MRI  Infratentorial_MRI  Spinal_Cord_MRI  \\\n","count           273.000000    273.000000          273.000000       273.000000   \n","mean              0.505495      0.432234            0.293040         0.315018   \n","std               0.500888      0.496296            0.455993         0.465376   \n","min               0.000000      0.000000            0.000000         0.000000   \n","25%               0.000000      0.000000            0.000000         0.000000   \n","50%               1.000000      0.000000            0.000000         0.000000   \n","75%               1.000000      1.000000            1.000000         1.000000   \n","max               1.000000      1.000000            1.000000         1.000000   \n","\n","       Initial_EDSS  Final_EDSS       group  \n","count    125.000000   125.00000  273.000000  \n","mean       1.360000     1.44800    1.542125  \n","std        0.587504     0.65323    0.499137  \n","min        1.000000     1.00000    1.000000  \n","25%        1.000000     1.00000    1.000000  \n","50%        1.000000     1.00000    2.000000  \n","75%        2.000000     2.00000    2.000000  \n","max        3.000000     3.00000    2.000000  "]},"execution_count":12,"metadata":{},"output_type":"execute_result"}],"source":["ms_df.describe()"]},{"cell_type":"code","execution_count":13,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.099347Z","iopub.status.busy":"2023-11-27T20:00:54.098681Z","iopub.status.idle":"2023-11-27T20:00:54.108702Z","shell.execute_reply":"2023-11-27T20:00:54.107631Z","shell.execute_reply.started":"2023-11-27T20:00:54.099306Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Unnamed: 0                   0\n","Gender                       0\n","Age                          0\n","Schooling                    1\n","Breastfeeding                0\n","Varicella                    0\n","Initial_Symptom              1\n","Mono_or_Polysymptomatic      0\n","Oligoclonal_Bands            0\n","LLSSEP                       0\n","ULSSEP                       0\n","VEP                          0\n","BAEP                         0\n","Periventricular_MRI          0\n","Cortical_MRI                 0\n","Infratentorial_MRI           0\n","Spinal_Cord_MRI              0\n","Initial_EDSS               148\n","Final_EDSS                 148\n","group                        0\n","dtype: int64"]},"execution_count":13,"metadata":{},"output_type":"execute_result"}],"source":["ms_df.isna().sum()"]},{"cell_type":"code","execution_count":14,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.110252Z","iopub.status.busy":"2023-11-27T20:00:54.109953Z","iopub.status.idle":"2023-11-27T20:00:54.118787Z","shell.execute_reply":"2023-11-27T20:00:54.117731Z","shell.execute_reply.started":"2023-11-27T20:00:54.110227Z"},"trusted":true},"outputs":[],"source":["ms_df.drop('Unnamed: 0',axis=1,inplace=True)"]},{"cell_type":"code","execution_count":15,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.120449Z","iopub.status.busy":"2023-11-27T20:00:54.120096Z","iopub.status.idle":"2023-11-27T20:00:54.135041Z","shell.execute_reply":"2023-11-27T20:00:54.133966Z","shell.execute_reply.started":"2023-11-27T20:00:54.120415Z"},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>missing percent</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>Schooling</th>\n","      <td>0.37</td>\n","    </tr>\n","    <tr>\n","      <th>Initial_Symptom</th>\n","      <td>0.37</td>\n","    </tr>\n","    <tr>\n","      <th>Initial_EDSS</th>\n","      <td>54.21</td>\n","    </tr>\n","    <tr>\n","      <th>Final_EDSS</th>\n","      <td>54.21</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["                 missing percent\n","Schooling                   0.37\n","Initial_Symptom             0.37\n","Initial_EDSS               54.21\n","Final_EDSS                 54.21"]},"execution_count":15,"metadata":{},"output_type":"execute_result"}],"source":["num_data = len(ms_df)\n","\n","missing_value = round(ms_df.isna().sum() / num_data * 100,2)\n","\n","missing_df = pd.DataFrame(missing_value[missing_value.values > 0],\n","            columns = ['missing percent'])\n","\n","missing_df"]},{"cell_type":"code","execution_count":16,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.136702Z","iopub.status.busy":"2023-11-27T20:00:54.136398Z","iopub.status.idle":"2023-11-27T20:00:54.145080Z","shell.execute_reply":"2023-11-27T20:00:54.144141Z","shell.execute_reply.started":"2023-11-27T20:00:54.136676Z"},"trusted":true},"outputs":[],"source":["num_cols = ['Age','Schooling']\n","\n","obj_cols = ['Gender','Breastfeeding', 'Varicella',\n","       'Initial_Symptom', 'Mono_or_Polysymptomatic', 'Oligoclonal_Bands',\n","       'LLSSEP', 'ULSSEP', 'VEP', 'BAEP', 'Periventricular_MRI',\n","       'Cortical_MRI', 'Infratentorial_MRI', 'Spinal_Cord_MRI', 'Initial_EDSS',\n","       'Final_EDSS']"]},{"cell_type":"code","execution_count":17,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.146771Z","iopub.status.busy":"2023-11-27T20:00:54.146505Z","iopub.status.idle":"2023-11-27T20:00:54.946417Z","shell.execute_reply":"2023-11-27T20:00:54.944908Z","shell.execute_reply.started":"2023-11-27T20:00:54.146747Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Text(0.5, 0.98, 'Numeric Column')"]},"execution_count":17,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAlAAAAFTCAYAAAD2njJ2AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjYuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy89olMNAAAACXBIWXMAAAsTAAALEwEAmpwYAAAn0ElEQVR4nO3dfbQldX3n+/eHbpQHUQR6Otjd2CQYCStXQTuKD+MyPDiIRpwVgziOthkyOHMV0Tjjw3XdqGsyd3RuoiIxRgSldQyiqJFBhgERk2ucoN2A8mhokYduGmhRFMVRG773j6oTj8dzuk+ds8+uOqffr7X22ruq9q767tq1a3/2r55SVUiSJGn29ui7AEmSpMXGACVJktSRAUqSJKkjA5QkSVJHBihJkqSODFCSJEkdGaAk9SLJl5NUklf1NP3nttO/rY/pS1rcDFDSEpDktjYMbEuyd9vvyLbfUE/2diFwJnDjXF6cZFmSNyS5JsmDSX6Q5B+SvHS0ZUrSr1redwGSRurXgH8PvKfvQmaSZA+AqvqLeY7jc8DvATuAS4DvAU8HXgZcMP9KJWlmtkBJS0sBb0qyz3QDJ1qkkqxtu9/Rdp/Xdr+q7f5Gkvck+VGSG5McleQ/ta08tyZ53qRxHpjkQ20r2ANJ/j7JP580fGJT3buTXAX8DDhk6ia8JMuTnJHk+rZF6Z4kfzLD+zyZJjwBvKCqTqqqP6yqI4C3tuNLktOSXJfkx0k2J/nTJHvNMG9+ZZPeNDWe13Z/LMn/SPKTJJcleXySz7TT+V9JDm2fv3bSPP83Se5I8v0k793Zhyhp+AxQ0tLyaWAl8Jp5juf/oGnNuQn4LeBK4CXAPwCHAh+Bf2oJ+jxwGnAH8Kn2tZcleeKUcf5H4F7gfOCn00zzncD7gF8HPgP8LXD4DPVNhKd/qKrLJg+oqpvah/8e+BCwhqZFajnwNprNhvP1r4Ef0bR6HQ98A9gfuBU4GvhP07zmHcDfAY8GXp/k2BHUIaknBihpabmAZp+i/wg8ah7j+TFwXDsegMcAv08TogBWJVkBPBV4FvAAcHV7vxnYC/jDKeP8b1X1e1X1iqraNnlAkgCvaztf3j7nZGD9DPX9s/b+9p28h9e292dU1b8BTmq7/2imVqgOvlRVfwB8uO3+CU2Q+r/a7qOmec3vV9W/Br6yk+dIWiTcB0paWh6macm5gF8EiJ1ZNkP/26rqJ0nun9TvW1X1UJN1ANgXWNs+3g84Y8o4DpvS/fc7qeMgfhH4/mGiZ1X9fIbn39veP34n45yobaJF6ub2fg+aVqnZmGn+TIzz/vZ+c1U9nOSBtnvfaV5zzZTXzCfgSuqZLVDS0vNp4Dqa/YSmerC9f3R7/9szjOOhqT2q6lf6Abe199uAvaoqVRVgH341wE232W7Cd2k2iUGz6RBo9oua4fkXt/dHT94fq33NE6bUNrEZcGKT4sPAndOM88ft/X7tePYEfnOG6U+dF9PNm19SVTsmHu7quZKGzwAlLTFVVTStUJlm8EQryF8k+TC/2Kw1V5uA/wUcDHw9yV8l+RvgLuCE2Y6krfn9becn2p20zwfOm+ElF9AceQfwhSSfT3JOkmuA/7ft/4H2/swk59LsqwVwblX972nG+Y80AfOAJB8DvsAvNhVK0i8xQElL02eBa6fpfzpN69SRwGrgo/OZSFU9TBPC/oqmVetVNPv2fIFJm+Jm6e3AG4Dv0OxrdQxNqNnZdP8DcAPwPJoWt58Bn2yf9pfA/wlspTm1wcPAf+FXNzVOjPMHwL/jF+Hv23N4D5J2E2n++EmSJGm2bIGSJEnqyAAlSZLUkQFKkiSpIwOUJElSRwYoSZKkjgxQkiRJHRmgJEmSOjJASZIkdWSAkiRJ6sgAJUnaLSS5LclxCzDeLyf5o/bxy5NcNuppaHgMUJq3duXx/SSP7LsWSbuHJM9O8tUkP0jyvSR/n+R3+q6rqj5RVc/ruw4tPAOU5iXJWuCfAwW8qN9qJO0OkjwauBg4CzgAWAW8E/hpn3Vp92KA0ny9kuaK9ecB6yd6JjkwyX9P8sMkX0/yp0m+Mmn44Ukub/85fivJyeMvXdIi9ZsAVXV+VT1UVT+pqsuq6psASf5tkpuSPJDkxiRPmfTaI5N8s225uiDJXhMD2tdtbtdLFyV53KRhz2zXZT9o7585XWFJXjVlXVdJ/l2SW5Lcn+QDSdIOW5bkz5N8N8l3kry2ff7yEc8vLQADlObrlcAn2tu/SLKy7f8B4MfAr9EEq8nhal/gcuCvgX8GnAL8ZZIjxli3pMXrH4GHkmxI8vwkj50YkOQPgHfQrJseTdMyft+k154MnAAcCjwJeFX7umOA/9IOPxi4HfhkO+wA4AvA+4EDgfcAX0hy4CzrfSHwO+30Tgb+Rdv/3wLPB44EngK8eJbj0wAYoDRnSZ4NPB74VFVtAr4N/Ksky4DfB95eVQ9W1Y3AhkkvfSFwW1V9tKp2VNU1wGeAPxjzW5C0CFXVD4Fn0+w68GFge9titBL4I+C/VtXXq7G5qm6f9PL3V9VdVfU94L/ThBeAlwMfqaqrq+qnwFuBZ7S7KbwAuKWqPt6us84HbgZ+b5Ylv6uq7q+qO4ArJ03zZODMqtpSVd8H3jWX+aF+GKA0H+uBy6rqu233X7f9VgDLgTsnPXfy48cDT2+bs+9Pcj/NyuvXFr5kSUtBVd1UVa+qqtXAbwOPA94HrKH5MzeTuyc9fhB4VPv4cTStThPj/xFNy9WqqcNat7fDZmNn05xpPamBczur5iTJ3jT/npYlmVg5PBLYH1gJ7ABW0zS1Q7NSm3An8LdVdfx4qpW0lFXVzUnOA15Ns375jTmM5i6aP3fAP+1qcCCwdeqw1iHApXOpd5JtNOvJCWtmeqKGxxYozdWLgYeAI2iao48Efgv4/2j2Pfgs8I4k+yQ5vO034WLgN5O8Isme7e13kvzWGOuXtEi1B6G8McnqtnsN8DKaA1rOAf5DkqemcViSqeFnOucDf5jkyPaULP8PcFVV3QZcQrPO+ldJlid5Kc267+J5vpVPAWckWZVkf+DN8xyfxsgApblaD3y0qu6oqrsnbsBf0GyOey3wGJqm64/TrJx+ClBVDwDPo9l5/K72Oe+macGSpF15AHg6cFWSH9MEp+uBN1bVp4H/TLNLwQPA39Cc6mCnquqLwP9Nsz/mNppWrFPaYffR7Lv5RprNem8CXjhp94W5+jBwGfBN4BqaoLaD5s+pBi5V1XcN2g0keTfwa1W1fpdPlqTdUJLnA39VVbNpMVPPbIHSgmib2J/UNqE/DTgV+FzfdUnSUCTZO8mJ7WbBVcDbcT25aBigtFD2o9kP6sfABcCfA5/vtSJJGpbQnEH9+zSb8G4C/qTXijRrbsKTJEnqyBYoSZKkjgxQkiRJHY31RJoHHXRQrV27dpyTlNSjTZs2fbeqVvRdxyi4/pJ2Pztbh401QK1du5aNGzeOc5KSepRk6uUvFi3XX9LuZ2frMDfhSZIkdWSAkiRJ6sgAJUmS1JEBSpIkqSMD1E6sWnMISeZ1W7XmkL7fhrRbS/KGJDckuT7J+Un2SnJokquSbE5yQZJH9F2nFr9R/GaM4zdksdQ5dLM6Ci/JbTRXtX4I2FFV65IcQHOJjrXAbcDJVfX9hSmzH3dtuZOXfuir8xrHBa9+5oiqkdRVe32x1wFHVNVPknwKOAU4EXhvVX0yyV/RXKvxgz2WqiVgFL8ZUy3Eb8hiqXPourRA/W5VHVlV69rutwBXVNUTgCvabkkamuXA3kmWA/sA24BjgAvb4RuAF/dTmqTFaj6b8E6iWfGAKyBJA1RVW4E/A+6gCU4/ADYB91fVjvZpW4BV/VQoabGabYAq4LIkm5Kc1vZbWVXb2sd3Ayune2GS05JsTLJx+/bt8yxXkmYvyWNp/uwdCjwO2Bc4ocPrXX9JmtZsA9Szq+opwPOB1yR5zuSBVVU0IetXVNXZVbWuqtatWLEkruggafE4DvhOVW2vqp8DnwWeBezfbtIDWA1sne7Frr8kzWRWAaptBqeq7gU+BzwNuCfJwQDt/b0LVaQkzdEdwNFJ9kkS4FjgRuBK4CXtc9YDn++pPkmL1C4DVJJ9k+w38Rh4HnA9cBHNigdcAUkaoKq6imZn8auB62jWeWcDbwb+OMlm4EDg3N6KlLQozeY0BiuBzzV/3lgO/HVVXZrk68CnkpwK3A6cvHBlStLcVNXbgbdP6X0rTUu6JM3JLgNUVd0KPHma/vfRNIdLkiTtVjwTuSRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUqSJKkjA9TArVpzCEnmdVu15pC+34YkSUvKbC7loh7dteVOXvqhr85rHBe8+pkjqkaSJIEtUJIkSZ0ZoCRJkjoyQEmSJHU06wCVZFmSa5Jc3HYfmuSqJJuTXJDkEQtXpiRJ0nB0aYE6A7hpUve7gfdW1WHA94FTR1mYJEnSUM0qQCVZDbwAOKftDnAMcGH7lA3AixegPkmSpMGZbQvU+4A3AQ+33QcC91fVjrZ7C7BqtKVJkiQN0y4DVJIXAvdW1aa5TCDJaUk2Jtm4ffv2uYxCkiRpUGbTAvUs4EVJbgM+SbPp7kxg/yQTJ+JcDWyd7sVVdXZVrauqdStWrBhByZIkSf3aZYCqqrdW1eqqWgucAnypql4OXAm8pH3aeuDzC1alJM1Rkv2TXJjk5iQ3JXlGkgOSXJ7klvb+sX3XKWlxmc95oN4M/HGSzTT7RJ07mpIkaaTOBC6tqsOBJ9McTfwW4IqqegJwRdstSbPW6Vp4VfVl4Mvt41uBp42+JEkajSSPAZ4DvAqgqn4G/CzJScBz26dtoFmvvXn8FUparDwTuaSl7FBgO/DR9kTA5yTZF1hZVdva59wNrJzuxR4EI2kmBihJS9ly4CnAB6vqKODHTNlcV1UF1HQv9iAYSTMxQElayrYAW6rqqrb7QppAdU+SgwHa+3t7qk89WrXmEJKM7KbdS6d9oCRpMamqu5PcmeSJVfUt4Fjgxva2HngXHkW827pry5289ENfHdn4Lnj1M0c2Lg2fAWp3sMfyef07etzqNWy9844RFiSN1enAJ9oLnt8K/CFN6/unkpwK3A6c3GN9khYhA9Tu4OEd8/qX5b8qLWZVdS2wbppBx465FElLiAFqoc2z9UeSJA2PAWqh2fojSdKS41F4kiRJHRmgJEmSOjJASZIkdWSAkiRJ6sgAJUmS1JEBSpIkqaNdBqgkeyX5WpJvJLkhyTvb/ocmuSrJ5iQXtGf5lSRJWvJm0wL1U+CYqnoycCRwQpKjgXcD762qw4DvA6cuWJWSJEkDsssAVY0ftZ17trcCjqG5sjnABuDFC1GgJEnS0MxqH6gky5JcC9wLXA58G7i/qna0T9kCrFqQCiVJkgZmVgGqqh6qqiOB1cDTgMNnO4EkpyXZmGTj9u3b51alJEnSgHQ6Cq+q7geuBJ4B7J9k4lp6q4GtM7zm7KpaV1XrVqxYMZ9aJUmSBmE2R+GtSLJ/+3hv4HjgJpog9ZL2aeuBzy9QjZIkSYOyfNdP4WBgQ5JlNIHrU1V1cZIbgU8m+VPgGuDcBaxTkiRpMHYZoKrqm8BR0/S/lWZ/KEmSpN2KZyKXJEnqyAAlSZLUkQFK0pLXnsvumiQXt91eikrSvBigJO0OzqA5eniCl6KSNC9LOkCtWnMISeZ8k7T4JVkNvAA4p+0OXopK0jzN5jQGi9ZdW+7kpR/66pxff8GrnznCaiT15H3Am4D92u4D8VJUkuZpSbdASdq9JXkhcG9VbZrj670UlaRpGaAkLWXPAl6U5DbgkzSb7s7ES1FJmicDlKQlq6reWlWrq2otcArwpap6OV6KStI8GaAk7Y7eDPxxks00+0R5KSpJnSzpncglaUJVfRn4cvvYS1FJmhdboCRJkjoyQEmSJHW0ywCVZE2SK5PcmOSGJGe0/Q9IcnmSW9r7xy58uZKkoZvvSYynu61ac0jfb0v6JbPZB2oH8MaqujrJfsCmJJcDrwKuqKp3JXkL8BaaHTMlSbux+Z7EeDqe2FhDs8sWqKraVlVXt48foLme1CrgJJpLIICXQpAkSbuRTvtAJVkLHAVcBaysqm3toLuBlaMtTZIkaZhmHaCSPAr4DPD6qvrh5GFVVUDN8Lo5XQphFNvQJUmSFsKszgOVZE+a8PSJqvps2/ueJAdX1bYkBwP3TvfaqjobOBtg3bp104as6YxiG7rbzCVJ0kKYzVF4oTlL701V9Z5Jgy6iuQQCeCkESZK0G5nNJrxnAa8AjklybXs7EXgXcHySW4Dj2m5pWvPdJOshzJKkIdnlJryq+gow0w5Fx462HC1V890k6+ZYSdKQeC087doey90pX5KkSQxQ2rWHd7hDvyRJk3gtPEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUrSkpVkTZIrk9yY5IYkZ7T9D0hyeZJb2vvH9l2rpMXFACVpKdsBvLGqjgCOBl6T5AjgLcAVVfUE4Iq2W5JmzQAlacmqqm1VdXX7+AHgJmAVcBKwoX3aBuDFvRQoadEyQEnaLSRZCxwFXAWsrKpt7aC7gZV91SVpcTJASVrykjwK+Azw+qr64eRhVVVAzfC605JsTLJx+/btY6hU0mJhgJK0pCXZkyY8faKqPtv2vifJwe3wg4F7p3ttVZ1dVeuqat2KFSvGU7CkRWGXASrJR5Lcm+T6Sf08gkXS4CUJcC5wU1W9Z9Kgi4D17eP1wOfHXZukxW02LVDnASdM6ecRLJIWg2cBrwCOSXJtezsReBdwfJJbgOPabkmateW7ekJV/V278+VkJwHPbR9vAL4MvHmUhUnSfFXVV4DMMPjYcdYiaWmZ6z5QHsEiSZJ2W/PeiXxnR7CAR7FIkqSlZ64BalZHsIBHsUiSpKVnrgHKI1g0XnssJ8m8bqvWHNL3u5AkLRG73Ik8yfk0O4wflGQL8HaaI1Y+leRU4Hbg5IUsUuLhHbz0Q1+d1yguePUzR1SMJGl3N5uj8F42wyCPYJEkSbslz0QuSZLUkQFKkiSpIwOUdh/z3BHdndAlSRN2uQ+UtGTMc0d0d0KXJE2wBUqSJKkjA5QkSVJHBihJkqSODFCSJEkdGaCk2fJyMpKklkfhSbPl5WQkSS1boCRJkjoyQEmSJHXkJjxJkjQ/7T6io7Rsz0fy0M9/OtJxPm71GrbeecdIxmWAkqTd2Ko1h3DXljv7LkOL3Qj2EZ3qglc/c0HGOSrzClBJTgDOBJYB51TVu0ZSlSSNgeswuGvLnYP+kZKGas77QCVZBnwAeD5wBPCyJEeMqjBpSZrnqRCWP2KvXl+/lE7F4DpM0nzMpwXqacDmqroVIMkngZOAG0dRmLQkjeCCxn2+fmIcS8SCrsMWYtPYKPffkDQ/8wlQq4DJa4ctwNPnV44kjc2CrsPcNCYtbamqub0weQlwQlX9Udv9CuDpVfXaKc87DTit7Xwi8K25lztnBwHf7WG6O2NNszfEuqxpdp5YVfv1XcR0ZrMOm+f6a4ifx2xY93hZ93h1rfvxVbViugHzaYHaCqyZ1L267fdLqups4Ox5TGfekmysqnV91jCVNc3eEOuyptlJsrHvGnZil+uw+ay/hvh5zIZ1j5d1j9co657PiTS/DjwhyaFJHgGcAlw0iqIkaQxch0maszm3QFXVjiSvBf4nzSHAH6mqG0ZWmSQtINdhkuZjXueBqqpLgEtGVMtC6nUT4gysafaGWJc1zc4Qa/onC7wOG/R73wnrHi/rHq+R1T3nncglSZJ2V15MWJIkqaMlFaCSrElyZZIbk9yQ5Iy2/wFJLk9yS3v/2DHXtVeSryX5RlvXO9v+hya5KsnmJBe0O7KOVZJlSa5JcvEQakpyW5Lrklw7cQTXAD6//ZNcmOTmJDcleUafNSV5Yjt/Jm4/TPL6AcynN7TL9/VJzm+X+96X8XFLckKSb7Xv+S191zNb0333hirJR5Lcm+T6Sf16Xf5nY4a635Fk66Tv84l91jidof627spO6h7JPF9SAQrYAbyxqo4AjgZek+bSDG8BrqiqJwBXtN3j9FPgmKp6MnAkcEKSo4F3A++tqsOA7wOnjrkugDOAmyZ1D6Gm362qIycdatr353cmcGlVHQ48mWZ+9VZTVX2rnT9HAk8FHgQ+12dNSVYBrwPWVdVv0+yUfQrDWJ7GJov/8jBTv3tDdR5wwpR+fa8nZuM8frVuaL4jR7a3Ie5XPNTf1l2ZqW4YwTxfUgGqqrZV1dXt4wdofuhW0VyeYUP7tA3Ai8dcV1XVj9rOPdtbAccAF/ZVV5LVwAuAc9ru9F3TDHr7/JI8BngOcC5AVf2squ7vs6YpjgW+XVW3D6Cm5cDeSZYD+wDbGObytJD+6fIwVfUzYOLyMBqhqvo74HtTeve9/O/SDHUP3lB/W3dlJ3WPxJIKUJMlWQscBVwFrKyqbe2gu4GVPdSzLMm1wL3A5cC3gfurakf7lC2M8IOdpfcBbwIebrsPHEBNBVyWZFOas0BDv5/focB24KPtps5zkuzbc02TnQKc3z7uraaq2gr8GXAHTXD6AbCJ/pencZvu8jCL5T1P991bTIbynZyL1yb5ZruJb1CbwaYa2m/rbE2pG0Ywz5dkgEryKOAzwOur6oeTh1Vz2OHYDz2sqofaTS6raf6lHj7uGiZL8kLg3qra1Gcd03h2VT2FZhPIa5I8Z/LAHj6/5cBTgA9W1VHAj5nSTN3XMtXuT/Qi4NNTh427pnYFdBJN4HwcsC/Tb6rQcO30u7eY9PWdnKMPAr9Bs3vHNuDPe61mJ4b42zob09Q9knm+5AJUkj1pZtQnquqzbe97khzcDj+YphWoF+3mnyuBZwD7t5s7YIZL4SygZwEvSnIbzWaGY2j29emzpomWDKrqXpr9ep5Gv5/fFmBLVU38a7mQJlANYZl6PnB1Vd3TdvdZ03HAd6pqe1X9HPgszTLW6/LUg1ld4mqIZvjuLSZD+E52VlX3tH+wHwY+zEDn+9B/W2cyXd2jmudLKkC1+/CcC9xUVe+ZNOgiYH37eD3w+THXtSLJ/u3jvYHjabbFXgm8pI+6quqtVbW6qtbSbAb6UlW9vM+akuybZL+Jx8DzgOvp8fOrqruBO5M8se11LHBjnzVN8jJ+sfkO+q3pDuDoJPu038OJ+dTb8tSTRXl5mJ189xaTIXwnO5sIIK1/yQDn+1B/W3dlprpHNs+rasncgGfTNCF+E7i2vZ1Is2/PFcAtwBeBA8Zc15OAa9q6rgf+pO3/68DXgM00m2Ee2dN8ey5wcd81tdP+Rnu7AXhb27/vz+9IYGP7+f0N8NgB1LQvcB/wmEn9+q7pncDN7TL+ceCRQ1nGxzwfTgT+kWY/x7f1Xc8sa572uzfUG80fh23Az2laiU/te/mfR90fB65r1y8XAQf3Xec0dQ/yt3UedY9knnsmckmSpI6W1CY8SZKkcTBASZIkdWSAkiRJ6sgAJUmS1JEBSpIkqSMDlEYiyYuTVJJez7AuafeU5G1Jbmgvz3FtkqfP8LxXJfmLEU3ztiQHtY+/OopxavEwQGlUXgZ8pb2XpLFJ8gzghcBTqupJNGfGv3PnrxqtqnrmOKen/hmgNG/tdYaeTXNSuFPafnsk+cskNye5PMklSV7SDntqkr9tL1r6P6ecFVaSujoY+G5V/RSgqr5bVXcl+Z0kX03yjSRfmzjbOvC4JJcmuSXJf50YSZKXJbkuyfVJ3r2r/pMl+VF7/9wkX05yYbv++0R7RmySnNj225Tk/UkuXqgZooU31hNpHnTQQbV27dqxTU9SvzZt2vTdqlrRdx2j4PpL2v3sbB22fLqeC2Xt2rVs3LhxnJOU1KMkt/ddw6i4/pJ2Pztbh7kJT5IkqSMDlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUqSJKkjA5QkSVJHY72Uy2J31llnsXnz5rFOc+vWrQCsWrVqwad12GGHcfrppy/4dCRpiMa9jh/n+n3U/L0wQHWyefNmrr3+Jh7a54CxTXPZgz8A4O6fLuxHtezB7y3o+CVp6Ma9jh/X+n3U/L1oLK5PbQAe2ucAfnL4iWOb3t43XwKw4NOcmI4k7c7GuY4f1/p91Py9aLgPlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUqSJKkjA5QkSVJHBihJkqSODFCSJEkdGaAkSZI6MkBJkiR1ZICSJEnqyAAlSZLUkQFKkiSpIwOUJElSRwYoSZKkjgxQkiRJHRmgJEmSOjJASZIkdTTIAHXWWWdx1lln9V2GtEsuq5qOy4U0PKP+Xi4f2ZhGaPPmzX2XIM2Ky6qm43IhDc+ov5eDbIGSJEkaMgOUJElSRwYoSZKkjgxQkiRJHRmgJEmSOjJASZIkdWSAkiRJ6sgAJUmS1JEBSpIkqSMDlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUqSJKkjA5QkSVJHBihJkqSODFCSJEkdGaCkntx333287nWv47777hvUuIYwHUkaOgOU1JMNGzZw3XXX8bGPfWxQ4xrCdCRp6AxQUg/uu+8+Lr30UqqKSy+9dF4tOqMc1xCmI0mLwfK+C5jO1q1b+clPfsIZZ5zRdym/ZPPmzezxs+q7jAWxx//+IZs3PzC4eT50mzdvZu+99+78ug0bNvDwww8D8NBDD/Gxj32MN7zhDXOqYZTjGsJ0loKhrsO0c0t5HT9Ki/X3Yq7r65kseAtUktOSbEyycfv27Qs9OWlR+OIXv8iOHTsA2LFjB5dffvkgxjWE6QyJ6y9JM1nwFqiqOhs4G2DdunWzivarVq0C4Mwzz1y4wubgjDPOYNOt9/RdxoJ4eK9Hc9ivrxzcPB+6uf4DO+6447jkkkvYsWMHy5cv5/jjj59zDaMc1xCmMyRzWX/BcNdh2rmlvI4fpcX6ezHqFjP3gZJ6sH79evbYo/n6LVu2jFe+8pWDGNcQpiNJi4EBSurBgQceyAknnEASTjjhBA488MBBjGsI05GkxWCQO5FLu4P169dz2223jaQlZ5TjGsJ0JGnoDFBSTw488EDe//73D25cQ5iOJA2dm/AkSZI6MkBJkiR1ZICSJEnqyAAlSZLUkQFKkiSpIwOUJElSRwYoSZKkjgxQkiRJHRmgJEmSOjJASZIkdWSAkiRJ6sgAJUmS1JEBSpIkqSMDlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSepoed8FTOewww7ruwRpVlxWNR2XC2l4Rv29HGSAOv300/suQZoVl1VNx+VCGp5Rfy/dhCdJktSRAUqSJKkjA5QkSVJHBihJkqSODFCSJEkdGaAkSZI6MkBJkiR1ZICSJEnqyAAlSZLUkQFKkiSpIwOUJElSRwYoSZKkjgxQkiRJHRmgJEmSOjJASZIkdWSAkiRJ6sgAJUmS1JEBSpIkqSMDlCRJUkcGKEmSpI4MUJIkSR0t77uAxWbZg99j75svGeP07gNY8Gkue/B7wMoFnYYkDd041/HjWr+Pmr8XDQNUB4cddtjYp7l16w4AVq1a6IV1ZS/vT5KGYtzrwPGt30fN3wswQHVy+umn912CJGmBuI5XF+4DJUmS1JEBSpIkqSMDlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjoyQEmSJHVkgJIkSerIACVJktSRAUqSJKkjA5QkSVJHqarxTSzZDtw+tgn+wkHAd3uY7s5Y0+wNsS5rmp0nVtV+fRcxCnNYfw3x85gN6x4v6x6vrnU/vqpWTDdgrBcTnqmIhZZkY1Wt62PaM7Gm2RtiXdY0O0k29l3DqHRdfw3x85gN6x4v6x6vUdbtJjxJkqSODFCSJEkd7S4B6uy+C5iGNc3eEOuyptkZYk3jsljfu3WPl3WP18jqHutO5JIkSUvB7tICJUmSNDJLKkAlWZPkyiQ3JrkhyRlt/wOSXJ7klvb+sWOua68kX0vyjbaud7b9D01yVZLNSS5I8ohx1tXWsCzJNUkuHkJNSW5Lcl2SayeO4BrA57d/kguT3JzkpiTP6LOmJE9s58/E7YdJXj+A+fSGdvm+Psn57XLf+zI+bklOSPKt9j2/pe96Zmu6795QJflIknuTXD+pX6/L/2zMUPc7kmyd9H0+sc8apzPU39Zd2UndI5nnSypAATuAN1bVEcDRwGuSHAG8Bbiiqp4AXNF2j9NPgWOq6snAkcAJSY4G3g28t6oOA74PnDrmugDOAG6a1D2Emn63qo6cdKhp35/fmcClVXU48GSa+dVbTVX1rXb+HAk8FXgQ+FyfNSVZBbwOWFdVvw0sA05hGMvT2CRZBnwAeD5wBPCydh20WEz97g3VecAJU/r1vZ6YjfP41bqh+Y4c2d4uGXNNszHU39ZdmaluGME8X1IBqqq2VdXV7eMHaH7oVgEnARvap20AXjzmuqqqftR27tneCjgGuLCvupKsBl4AnNN2p++aZtDb55fkMcBzgHMBqupnVXV/nzVNcSzw7aq6fQA1LQf2TrIc2AfYxjCXp4X0NGBzVd1aVT8DPknzuWiEqurvgO9N6d338r9LM9Q9eEP9bd2VndQ9EksqQE2WZC1wFHAVsLKqtrWD7gZW9lDPsiTXAvcClwPfBu6vqh3tU7Ywwg92lt4HvAl4uO0+cAA1FXBZkk1JTmv79fn5HQpsBz7abuo8J8m+Pdc02SnA+e3j3mqqqq3AnwF30ASnHwCb6H95GrdVwJ2TuhfTe57uu7eYDOU7ORevTfLNdhPfoDaDTTW039bZmlI3jGCeL8kAleRRwGeA11fVDycPq+aww7EfelhVD7WbXFbT/Es9fNw1TJbkhcC9VbWpzzqm8eyqegrNJpDXJHnO5IE9fH7LgacAH6yqo4AfM6WZuq9lqt2f6EXAp6cOG3dN7QroJJrA+ThgX6bfVKHh2ul3bzHp6zs5Rx8EfoNm945twJ/3Ws1ODPG3dTamqXsk83zJBagke9LMqE9U1Wfb3vckObgdfjBNK1Av2s0/VwLPAPZvN3dAE6y2jrGUZwEvSnIbzWaGY2j29emzpomWDKrqXpr9ep5Gv5/fFmBLVU38a7mQJlANYZl6PnB1Vd3TdvdZ03HAd6pqe1X9HPgszTLW6/LUg63Amkndi+Y9z/DdW0yG8J3srKruaf9gPwx8mIHO96H/ts5kurpHNc+XVIBq9+E5F7ipqt4zadBFwPr28Xrg82Oua0WS/dvHewPH02yLvRJ4SR91VdVbq2p1Va2l2Qz0pap6eZ81Jdk3yX4Tj4HnAdfT4+dXVXcDdyZ5YtvrWODGPmua5GX8YvMd9FvTHcDRSfZpv4cT86m35aknXwee0B59+Aia79ZFPde0Szv57i0mQ/hOdjYRQFr/kgHO96H+tu7KTHWPbJ5X1ZK5Ac+maUL8JnBtezuRZt+eK4BbgC8CB4y5ricB17R1XQ/8Sdv/14GvAZtpNsM8sqf59lzg4r5raqf9jfZ2A/C2tn/fn9+RwMb28/sb4LEDqGlf4D7gMZP69V3TO4Gb22X848Ajh7KMj3k+nAj8I81+jm/ru55Z1jztd2+oN5o/DtuAn9O0Ep/a9/I/j7o/DlzXrl8uAg7uu85p6h7kb+s86h7JPPdM5JIkSR0tqU14kiRJ42CAkiRJ6sgAJUmS1JEBSpIkqSMDlCRJUkcGKEmSpI4MUJIkSR0ZoCRJkjr6/wEn5XGjFNMLiAAAAABJRU5ErkJggg==","text/plain":["<Figure size 720x360 with 4 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# Numeric Columns EDA\n","fig,ax = plt.subplots(ncols = 2, nrows = 2, figsize = (10,5))\n","\n","ax = ax.flatten()\n","\n","hist_idx = 0\n","box_idx = 2\n","\n","for col in num_cols:\n","    \n","    sns.histplot(data = ms_df,\n","                x = col,\n","                ax = ax[hist_idx])\n","    sns.boxplot(data = ms_df,\n","                x = col,\n","               ax = ax[box_idx])\n","    \n","    ax[hist_idx].set_ylabel('')\n","    ax[box_idx].set_xlabel('')\n","    \n","    hist_idx += 1\n","    box_idx += 1\n","    \n","ax[0].set_title('Age')\n","ax[1].set_title('Schooling')\n","    \n","fig.suptitle('Numeric Column',weight = 'bold')"]},{"cell_type":"code","execution_count":18,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:00:54.950090Z","iopub.status.busy":"2023-11-27T20:00:54.949756Z","iopub.status.idle":"2023-11-27T20:01:00.475910Z","shell.execute_reply":"2023-11-27T20:01:00.474805Z","shell.execute_reply.started":"2023-11-27T20:00:54.950060Z"},"trusted":true},"outputs":[{"data":{"text/plain":["<matplotlib.legend.Legend at 0x1b1bd1a5520>"]},"execution_count":18,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 1080x720 with 16 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["# Objective Columns EDA\n","fig, ax = plt.subplots(ncols=4, nrows=4, figsize=(15, 10))\n","ax = ax.flatten()\n","\n","fig.subplots_adjust(hspace=0.5)\n","\n","for i, col in enumerate(obj_cols):\n","    sns.histplot(data=ms_df, x=col, \n","                 alpha=0.5,\n","                 hue= 'group', \n","                 hue_order = [1,2],\n","                 palette=['blue', 'red'],\n","                 kde = True,\n","                 ax=ax[i], legend=None)\n","    \n","    if i % 4 != 0:\n","        ax[i].set_ylabel('')\n","    ax[i].set_title(col)\n","    ax[i].set_xlabel('')\n","\n","blue_patch = plt.Rectangle((0, 0), 1, 1, color='blue', label='Non CDMS')\n","red_patch = plt.Rectangle((0, 0), 1, 1, color='red', label='CDMS')\n","\n","fig.suptitle('Histogram by Group')\n","fig.legend(handles=[blue_patch, red_patch], loc='upper right')"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":19,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.477861Z","iopub.status.busy":"2023-11-27T20:01:00.477563Z","iopub.status.idle":"2023-11-27T20:01:00.487950Z","shell.execute_reply":"2023-11-27T20:01:00.486784Z","shell.execute_reply.started":"2023-11-27T20:01:00.477836Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Gender                      0.000000\n","Age                         0.000000\n","Schooling                   0.366300\n","Breastfeeding               0.000000\n","Varicella                   0.000000\n","Initial_Symptom             0.366300\n","Mono_or_Polysymptomatic     0.000000\n","Oligoclonal_Bands           0.000000\n","LLSSEP                      0.000000\n","ULSSEP                      0.000000\n","VEP                         0.000000\n","BAEP                        0.000000\n","Periventricular_MRI         0.000000\n","Cortical_MRI                0.000000\n","Infratentorial_MRI          0.000000\n","Spinal_Cord_MRI             0.000000\n","Initial_EDSS               54.212454\n","Final_EDSS                 54.212454\n","group                       0.000000\n","dtype: float64"]},"execution_count":19,"metadata":{},"output_type":"execute_result"}],"source":["ms_df.isnull().sum() / len(ms_df) * 100"]},{"cell_type":"markdown","metadata":{},"source":["- As the percentage of nulls in initial and final EDSS exceeds 50%, they will be removed and won't be used in the analysis.\n","\n","- For the null values in Initial Symptom, experimentation with two data imputation techniques (knn imputation, constant/zero imputing) will be done.\n","\n","- For the null values in Schooling, experimentation with two data imputation techniques (knn imputation, mean imputing, and median imputing) will be done.\n"," \n"]},{"cell_type":"code","execution_count":20,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.490255Z","iopub.status.busy":"2023-11-27T20:01:00.489473Z","iopub.status.idle":"2023-11-27T20:01:00.496075Z","shell.execute_reply":"2023-11-27T20:01:00.494936Z","shell.execute_reply.started":"2023-11-27T20:01:00.490221Z"},"trusted":true},"outputs":[],"source":["ms_df.drop(['Initial_EDSS','Final_EDSS'],axis=1,inplace=True)"]},{"cell_type":"code","execution_count":21,"metadata":{},"outputs":[],"source":["imputer = SimpleImputer(strategy='most_frequent')\n","ms_df_imputed = pd.DataFrame(imputer.fit_transform(ms_df),columns = ms_df.columns)"]},{"cell_type":"code","execution_count":22,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Gender</th>\n","      <th>Age</th>\n","      <th>Schooling</th>\n","      <th>Breastfeeding</th>\n","      <th>Varicella</th>\n","      <th>Initial_Symptom</th>\n","      <th>Mono_or_Polysymptomatic</th>\n","      <th>Oligoclonal_Bands</th>\n","      <th>LLSSEP</th>\n","      <th>ULSSEP</th>\n","      <th>VEP</th>\n","      <th>BAEP</th>\n","      <th>Periventricular_MRI</th>\n","      <th>Cortical_MRI</th>\n","      <th>Infratentorial_MRI</th>\n","      <th>Spinal_Cord_MRI</th>\n","      <th>group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>1.0</td>\n","      <td>34.0</td>\n","      <td>20.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>1.0</td>\n","      <td>61.0</td>\n","      <td>25.0</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","      <td>10.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>1.0</td>\n","      <td>22.0</td>\n","      <td>20.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>2.0</td>\n","      <td>41.0</td>\n","      <td>15.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>7.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>2.0</td>\n","      <td>34.0</td>\n","      <td>20.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>6.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   Gender   Age  Schooling  Breastfeeding  Varicella  Initial_Symptom  \\\n","0     1.0  34.0       20.0            1.0        1.0              2.0   \n","1     1.0  61.0       25.0            3.0        2.0             10.0   \n","2     1.0  22.0       20.0            3.0        1.0              3.0   \n","3     2.0  41.0       15.0            1.0        1.0              7.0   \n","4     2.0  34.0       20.0            2.0        1.0              6.0   \n","\n","   Mono_or_Polysymptomatic  Oligoclonal_Bands  LLSSEP  ULSSEP  VEP  BAEP  \\\n","0                      1.0                0.0     1.0     1.0  0.0   0.0   \n","1                      2.0                1.0     1.0     0.0  1.0   0.0   \n","2                      1.0                1.0     0.0     0.0  0.0   0.0   \n","3                      2.0                1.0     0.0     1.0  1.0   0.0   \n","4                      2.0                0.0     1.0     0.0  0.0   0.0   \n","\n","   Periventricular_MRI  Cortical_MRI  Infratentorial_MRI  Spinal_Cord_MRI  \\\n","0                  0.0           1.0                 0.0              1.0   \n","1                  0.0           0.0                 0.0              1.0   \n","2                  0.0           1.0                 0.0              0.0   \n","3                  1.0           1.0                 0.0              0.0   \n","4                  1.0           0.0                 0.0              0.0   \n","\n","   group  \n","0    1.0  \n","1    1.0  \n","2    1.0  \n","3    1.0  \n","4    1.0  "]},"execution_count":22,"metadata":{},"output_type":"execute_result"}],"source":["ms_df_imputed.head()"]},{"cell_type":"code","execution_count":23,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.497575Z","iopub.status.busy":"2023-11-27T20:01:00.497267Z","iopub.status.idle":"2023-11-27T20:01:00.505467Z","shell.execute_reply":"2023-11-27T20:01:00.504674Z","shell.execute_reply.started":"2023-11-27T20:01:00.497550Z"},"trusted":true},"outputs":[],"source":["def count_plot(data, feature, title, hue=True): \n","    plt.figure(figsize=(8, 10),facecolor='#F6F5F4')\n","    total = float(len(data))\n","    if hue:\n","        ax = sns.countplot(x=data[feature], hue=data['group'], palette='coolwarm')\n","        \n","    else:\n","        ax = sns.countplot(x=data[feature], hue=None, palette='coolwarm')\n","    \n","    ax.set_facecolor('#F6F5F4')\n","\n","    for p in ax.patches:\n","\n","        height = p.get_height()\n","        ax.text(p.get_x()+p.get_width()/2.,height + 3,'{:1.1f} %'.format((height/total)*100), ha=\"center\",\n","               bbox=dict(facecolor='none', edgecolor='black', boxstyle='round', linewidth=0.5))\n","\n","    ax.set_title(title, fontsize=16, y=1.05)\n","    sns.despine(right=True)\n","    sns.despine(offset=5, trim=True)"]},{"cell_type":"code","execution_count":24,"metadata":{},"outputs":[{"data":{"text/plain":["<seaborn.axisgrid.PairGrid at 0x1b1b77d7d90>"]},"execution_count":24,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 3060x3060 with 306 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["sns.pairplot(ms_df)"]},{"cell_type":"markdown","metadata":{},"source":["#### Analyzing Numerical Data"]},{"cell_type":"code","execution_count":25,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.507182Z","iopub.status.busy":"2023-11-27T20:01:00.506425Z","iopub.status.idle":"2023-11-27T20:01:00.519177Z","shell.execute_reply":"2023-11-27T20:01:00.518264Z","shell.execute_reply.started":"2023-11-27T20:01:00.507154Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Index(['Gender', 'Age'], dtype='object')"]},"execution_count":25,"metadata":{},"output_type":"execute_result"}],"source":["numerical_cols = ms_df.columns[:2]\n","numerical_cols"]},{"cell_type":"code","execution_count":26,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.520502Z","iopub.status.busy":"2023-11-27T20:01:00.520204Z","iopub.status.idle":"2023-11-27T20:01:00.707568Z","shell.execute_reply":"2023-11-27T20:01:00.706382Z","shell.execute_reply.started":"2023-11-27T20:01:00.520477Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1080x360 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize=(15,5))\n","sns.boxplot(x='Age',data = ms_df[ms_df['group']==1]);\n","plt.title('CDMS group by age');"]},{"cell_type":"code","execution_count":27,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:00.710066Z","iopub.status.busy":"2023-11-27T20:01:00.709410Z","iopub.status.idle":"2023-11-27T20:01:01.203421Z","shell.execute_reply":"2023-11-27T20:01:01.202317Z","shell.execute_reply.started":"2023-11-27T20:01:00.710026Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 504x360 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["plt.figure(figsize=(7, 5),facecolor='#F6F5F4')\n","ax = sns.histplot(data=ms_df, x=ms_df['Age'], hue='group', stat='percent', common_norm=True, bins=30,kde=True)\n","# ax.set_facecolor('#F6F5F4')\n","ax.set_title('Age distribution of patients', fontsize=16, y=1.05);"]},{"cell_type":"code","execution_count":28,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:01.204851Z","iopub.status.busy":"2023-11-27T20:01:01.204559Z","iopub.status.idle":"2023-11-27T20:01:01.680104Z","shell.execute_reply":"2023-11-27T20:01:01.679101Z","shell.execute_reply.started":"2023-11-27T20:01:01.204826Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Text(0.5, 0, 'Schooling (years)')"]},"execution_count":28,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 504x360 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize = (7,5))\n","sns.histplot(data=ms_df, x='Schooling', hue='group', binwidth=1, kde=True)\n","plt.title('Schooling distribution')\n","plt.xlabel('Schooling (years)')"]},{"cell_type":"markdown","metadata":{},"source":["#### Analyzing Categorical Data"]},{"cell_type":"code","execution_count":29,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:01.681985Z","iopub.status.busy":"2023-11-27T20:01:01.681223Z","iopub.status.idle":"2023-11-27T20:01:02.122323Z","shell.execute_reply":"2023-11-27T20:01:02.121555Z","shell.execute_reply.started":"2023-11-27T20:01:01.681955Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Text(0.5, 0, 'Initial_Symptom')"]},"execution_count":29,"metadata":{},"output_type":"execute_result"},{"data":{"image/png":"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","text/plain":["<Figure size 504x360 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize = (7,5))\n","sns.histplot(data=ms_df, x='Initial_Symptom', hue='group', binwidth=1, kde=True)\n","plt.title('Initial Symptom distribution')\n","plt.xlabel('Initial_Symptom')"]},{"cell_type":"code","execution_count":30,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.123866Z","iopub.status.busy":"2023-11-27T20:01:02.123339Z","iopub.status.idle":"2023-11-27T20:01:02.130767Z","shell.execute_reply":"2023-11-27T20:01:02.129689Z","shell.execute_reply.started":"2023-11-27T20:01:02.123836Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Index(['Schooling', 'Breastfeeding', 'Varicella', 'Initial_Symptom',\n","       'Mono_or_Polysymptomatic', 'Oligoclonal_Bands', 'LLSSEP', 'ULSSEP',\n","       'VEP', 'BAEP', 'Periventricular_MRI', 'Cortical_MRI',\n","       'Infratentorial_MRI', 'Spinal_Cord_MRI'],\n","      dtype='object')"]},"execution_count":30,"metadata":{},"output_type":"execute_result"}],"source":["categorical_vars = ms_df.columns[2:-1]\n","categorical_vars"]},{"cell_type":"code","execution_count":31,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.132945Z","iopub.status.busy":"2023-11-27T20:01:02.132309Z","iopub.status.idle":"2023-11-27T20:01:02.153384Z","shell.execute_reply":"2023-11-27T20:01:02.152360Z","shell.execute_reply.started":"2023-11-27T20:01:02.132908Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Values distribution for  Schooling\n","20.0    83\n","15.0    81\n","12.0    59\n","9.0     34\n","22.0     4\n","6.0      3\n","25.0     2\n","14.0     2\n","0.0      1\n","23.0     1\n","24.0     1\n","8.0      1\n","Name: Schooling, dtype: int64\n","**************************************************\n","Values distribution for  Breastfeeding\n","1    131\n","3     85\n","2     57\n","Name: Breastfeeding, dtype: int64\n","**************************************************\n","Values distribution for  Varicella\n","1    124\n","2    104\n","3     45\n","Name: Varicella, dtype: int64\n","**************************************************\n","Values distribution for  Initial_Symptom\n","8.0     39\n","3.0     32\n","1.0     31\n","4.0     30\n","2.0     26\n","6.0     17\n","10.0    15\n","14.0    14\n","5.0     13\n","15.0    11\n","13.0    11\n","11.0    10\n","7.0      9\n","9.0      8\n","12.0     6\n","Name: Initial_Symptom, dtype: int64\n","**************************************************\n","Values distribution for  Mono_or_Polysymptomatic\n","2    186\n","1     81\n","3      6\n","Name: Mono_or_Polysymptomatic, dtype: int64\n","**************************************************\n","Values distribution for  Oligoclonal_Bands\n","0    186\n","1     76\n","2     11\n","Name: Oligoclonal_Bands, dtype: int64\n","**************************************************\n","Values distribution for  LLSSEP\n","0    157\n","1    116\n","Name: LLSSEP, dtype: int64\n","**************************************************\n","Values distribution for  ULSSEP\n","0    172\n","1    101\n","Name: ULSSEP, dtype: int64\n","**************************************************\n","Values distribution for  VEP\n","0    189\n","1     84\n","Name: VEP, dtype: int64\n","**************************************************\n","Values distribution for  BAEP\n","0    255\n","1     18\n","Name: BAEP, dtype: int64\n","**************************************************\n","Values distribution for  Periventricular_MRI\n","1    138\n","0    135\n","Name: Periventricular_MRI, dtype: int64\n","**************************************************\n","Values distribution for  Cortical_MRI\n","0    155\n","1    118\n","Name: Cortical_MRI, dtype: int64\n","**************************************************\n","Values distribution for  Infratentorial_MRI\n","0    193\n","1     80\n","Name: Infratentorial_MRI, dtype: int64\n","**************************************************\n","Values distribution for  Spinal_Cord_MRI\n","0    187\n","1     86\n","Name: Spinal_Cord_MRI, dtype: int64\n","**************************************************\n"]}],"source":["for var in categorical_vars:\n","    print(\"Values distribution for \",var)\n","\n","    print(ms_df[var].value_counts())\n","    print('*'*50)"]},{"cell_type":"code","execution_count":32,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.154772Z","iopub.status.busy":"2023-11-27T20:01:02.154454Z","iopub.status.idle":"2023-11-27T20:01:02.403154Z","shell.execute_reply":"2023-11-27T20:01:02.402167Z","shell.execute_reply.started":"2023-11-27T20:01:02.154744Z"},"trusted":true},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_8f5b4_row0_col0, #T_8f5b4_row1_col0, #T_8f5b4_row2_col0, #T_8f5b4_row15_col0, #T_8f5b4_row16_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_8f5b4_row3_col0 {\n","  background-color: #549fcd;\n","  color: #f1f1f1;\n","}\n","#T_8f5b4_row4_col0 {\n","  background-color: #e3eef9;\n","  color: #000000;\n","}\n","#T_8f5b4_row5_col0 {\n","  background-color: #4d99ca;\n","  color: #f1f1f1;\n","}\n","#T_8f5b4_row6_col0 {\n","  background-color: #e9f2fa;\n","  color: #000000;\n","}\n","#T_8f5b4_row7_col0, #T_8f5b4_row8_col0, #T_8f5b4_row17_col0, #T_8f5b4_row18_col0 {\n","  background-color: #abd0e6;\n","  color: #000000;\n","}\n","#T_8f5b4_row9_col0 {\n","  background-color: #97c6df;\n","  color: #000000;\n","}\n","#T_8f5b4_row10_col0, #T_8f5b4_row12_col0 {\n","  background-color: #bed8ec;\n","  color: #000000;\n","}\n","#T_8f5b4_row11_col0 {\n","  background-color: #99c7e0;\n","  color: #000000;\n","}\n","#T_8f5b4_row13_col0 {\n","  background-color: #3787c0;\n","  color: #f1f1f1;\n","}\n","#T_8f5b4_row14_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_8f5b4_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Schooling</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row0\" class=\"row_heading level0 row0\" >0.0</th>\n","      <th id=\"T_8f5b4_level1_row0\" class=\"row_heading level1 row0\" >1</th>\n","      <td id=\"T_8f5b4_row0_col0\" class=\"data row0 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row1\" class=\"row_heading level0 row1\" >6.0</th>\n","      <th id=\"T_8f5b4_level1_row1\" class=\"row_heading level1 row1\" >2</th>\n","      <td id=\"T_8f5b4_row1_col0\" class=\"data row1 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row2\" class=\"row_heading level0 row2\" >8.0</th>\n","      <th id=\"T_8f5b4_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n","      <td id=\"T_8f5b4_row2_col0\" class=\"data row2 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row3\" class=\"row_heading level0 row3\" rowspan=\"2\">9.0</th>\n","      <th id=\"T_8f5b4_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_8f5b4_row3_col0\" class=\"data row3 col0\" >67.647059</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row4\" class=\"row_heading level1 row4\" >1</th>\n","      <td id=\"T_8f5b4_row4_col0\" class=\"data row4 col0\" >32.352941</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row5\" class=\"row_heading level0 row5\" rowspan=\"2\">12.0</th>\n","      <th id=\"T_8f5b4_level1_row5\" class=\"row_heading level1 row5\" >2</th>\n","      <td id=\"T_8f5b4_row5_col0\" class=\"data row5 col0\" >69.491525</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row6\" class=\"row_heading level1 row6\" >1</th>\n","      <td id=\"T_8f5b4_row6_col0\" class=\"data row6 col0\" >30.508475</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row7\" class=\"row_heading level0 row7\" rowspan=\"2\">14.0</th>\n","      <th id=\"T_8f5b4_level1_row7\" class=\"row_heading level1 row7\" >1</th>\n","      <td id=\"T_8f5b4_row7_col0\" class=\"data row7 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row8\" class=\"row_heading level1 row8\" >2</th>\n","      <td id=\"T_8f5b4_row8_col0\" class=\"data row8 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row9\" class=\"row_heading level0 row9\" rowspan=\"2\">15.0</th>\n","      <th id=\"T_8f5b4_level1_row9\" class=\"row_heading level1 row9\" >1</th>\n","      <td id=\"T_8f5b4_row9_col0\" class=\"data row9 col0\" >54.320988</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n","      <td id=\"T_8f5b4_row10_col0\" class=\"data row10 col0\" >45.679012</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row11\" class=\"row_heading level0 row11\" rowspan=\"2\">20.0</th>\n","      <th id=\"T_8f5b4_level1_row11\" class=\"row_heading level1 row11\" >1</th>\n","      <td id=\"T_8f5b4_row11_col0\" class=\"data row11 col0\" >54.216867</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row12\" class=\"row_heading level1 row12\" >2</th>\n","      <td id=\"T_8f5b4_row12_col0\" class=\"data row12 col0\" >45.783133</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row13\" class=\"row_heading level0 row13\" rowspan=\"2\">22.0</th>\n","      <th id=\"T_8f5b4_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n","      <td id=\"T_8f5b4_row13_col0\" class=\"data row13 col0\" >75.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n","      <td id=\"T_8f5b4_row14_col0\" class=\"data row14 col0\" >25.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row15\" class=\"row_heading level0 row15\" >23.0</th>\n","      <th id=\"T_8f5b4_level1_row15\" class=\"row_heading level1 row15\" >1</th>\n","      <td id=\"T_8f5b4_row15_col0\" class=\"data row15 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row16\" class=\"row_heading level0 row16\" >24.0</th>\n","      <th id=\"T_8f5b4_level1_row16\" class=\"row_heading level1 row16\" >2</th>\n","      <td id=\"T_8f5b4_row16_col0\" class=\"data row16 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level0_row17\" class=\"row_heading level0 row17\" rowspan=\"2\">25.0</th>\n","      <th id=\"T_8f5b4_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n","      <td id=\"T_8f5b4_row17_col0\" class=\"data row17 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_8f5b4_level1_row18\" class=\"row_heading level1 row18\" >2</th>\n","      <td id=\"T_8f5b4_row18_col0\" class=\"data row18 col0\" >50.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ce948220>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_e3477_row0_col0 {\n","  background-color: #68acd5;\n","  color: #f1f1f1;\n","}\n","#T_e3477_row1_col0 {\n","  background-color: #6fb0d7;\n","  color: #f1f1f1;\n","}\n","#T_e3477_row2_col0 {\n","  background-color: #2a7ab9;\n","  color: #f1f1f1;\n","}\n","#T_e3477_row3_col0 {\n","  background-color: #bcd7eb;\n","  color: #000000;\n","}\n","#T_e3477_row4_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_e3477_row5_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_e3477_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Breastfeeding</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_e3477_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">1</th>\n","      <th id=\"T_e3477_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_e3477_row0_col0\" class=\"data row0 col0\" >50.381679</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e3477_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_e3477_row1_col0\" class=\"data row1 col0\" >49.618321</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e3477_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">2</th>\n","      <th id=\"T_e3477_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_e3477_row2_col0\" class=\"data row2 col0\" >57.894737</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e3477_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_e3477_row3_col0\" class=\"data row3 col0\" >42.105263</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e3477_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"2\">3</th>\n","      <th id=\"T_e3477_level1_row4\" class=\"row_heading level1 row4\" >2</th>\n","      <td id=\"T_e3477_row4_col0\" class=\"data row4 col0\" >68.235294</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e3477_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n","      <td id=\"T_e3477_row5_col0\" class=\"data row5 col0\" >31.764706</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1cc6258e0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_73dd5_row0_col0 {\n","  background-color: #64a9d3;\n","  color: #f1f1f1;\n","}\n","#T_73dd5_row1_col0 {\n","  background-color: #74b3d8;\n","  color: #000000;\n","}\n","#T_73dd5_row2_col0 {\n","  background-color: #4f9bcb;\n","  color: #f1f1f1;\n","}\n","#T_73dd5_row3_col0 {\n","  background-color: #8dc1dd;\n","  color: #000000;\n","}\n","#T_73dd5_row4_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_73dd5_row5_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_73dd5_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Varicella</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_73dd5_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">1</th>\n","      <th id=\"T_73dd5_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_73dd5_row0_col0\" class=\"data row0 col0\" >51.612903</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_73dd5_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_73dd5_row1_col0\" class=\"data row1 col0\" >48.387097</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_73dd5_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">2</th>\n","      <th id=\"T_73dd5_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_73dd5_row2_col0\" class=\"data row2 col0\" >55.769231</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_73dd5_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_73dd5_row3_col0\" class=\"data row3 col0\" >44.230769</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_73dd5_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"2\">3</th>\n","      <th id=\"T_73dd5_level1_row4\" class=\"row_heading level1 row4\" >2</th>\n","      <td id=\"T_73dd5_row4_col0\" class=\"data row4 col0\" >84.444444</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_73dd5_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n","      <td id=\"T_73dd5_row5_col0\" class=\"data row5 col0\" >15.555556</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ceb61c70>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_046c4_row0_col0 {\n","  background-color: #08478d;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row1_col0 {\n","  background-color: #e6f0f9;\n","  color: #000000;\n","}\n","#T_046c4_row2_col0 {\n","  background-color: #083776;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row3_col0 {\n","  background-color: #f2f7fd;\n","  color: #000000;\n","}\n","#T_046c4_row4_col0 {\n","  background-color: #5fa6d1;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row5_col0 {\n","  background-color: #7ab6d9;\n","  color: #000000;\n","}\n","#T_046c4_row6_col0, #T_046c4_row14_col0 {\n","  background-color: #519ccc;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row7_col0, #T_046c4_row15_col0 {\n","  background-color: #8cc0dd;\n","  color: #000000;\n","}\n","#T_046c4_row8_col0 {\n","  background-color: #3d8dc4;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row9_col0 {\n","  background-color: #a4cce3;\n","  color: #000000;\n","}\n","#T_046c4_row10_col0 {\n","  background-color: #3383be;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row11_col0 {\n","  background-color: #b0d2e7;\n","  color: #000000;\n","}\n","#T_046c4_row12_col0 {\n","  background-color: #2d7dbb;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row13_col0 {\n","  background-color: #b8d5ea;\n","  color: #000000;\n","}\n","#T_046c4_row16_col0 {\n","  background-color: #3a8ac2;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row17_col0 {\n","  background-color: #a8cee4;\n","  color: #000000;\n","}\n","#T_046c4_row18_col0 {\n","  background-color: #5da5d1;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row19_col0 {\n","  background-color: #7cb7da;\n","  color: #000000;\n","}\n","#T_046c4_row20_col0 {\n","  background-color: #08326e;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row21_col0 {\n","  background-color: #f5fafe;\n","  color: #000000;\n","}\n","#T_046c4_row22_col0 {\n","  background-color: #08488e;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row23_col0 {\n","  background-color: #e5eff9;\n","  color: #000000;\n","}\n","#T_046c4_row24_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row25_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_046c4_row26_col0 {\n","  background-color: #0d57a1;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row27_col0 {\n","  background-color: #d9e8f5;\n","  color: #000000;\n","}\n","#T_046c4_row28_col0 {\n","  background-color: #084d96;\n","  color: #f1f1f1;\n","}\n","#T_046c4_row29_col0 {\n","  background-color: #e1edf8;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_046c4_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Initial_Symptom</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_046c4_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">1.0</th>\n","      <th id=\"T_046c4_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_046c4_row0_col0\" class=\"data row0 col0\" >83.870968</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_046c4_row1_col0\" class=\"data row1 col0\" >16.129032</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">2.0</th>\n","      <th id=\"T_046c4_level1_row2\" class=\"row_heading level1 row2\" >2</th>\n","      <td id=\"T_046c4_row2_col0\" class=\"data row2 col0\" >88.461538</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row3\" class=\"row_heading level1 row3\" >1</th>\n","      <td id=\"T_046c4_row3_col0\" class=\"data row3 col0\" >11.538462</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row4\" class=\"row_heading level0 row4\" rowspan=\"2\">3.0</th>\n","      <th id=\"T_046c4_level1_row4\" class=\"row_heading level1 row4\" >2</th>\n","      <td id=\"T_046c4_row4_col0\" class=\"data row4 col0\" >53.125000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row5\" class=\"row_heading level1 row5\" >1</th>\n","      <td id=\"T_046c4_row5_col0\" class=\"data row5 col0\" >46.875000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row6\" class=\"row_heading level0 row6\" rowspan=\"2\">4.0</th>\n","      <th id=\"T_046c4_level1_row6\" class=\"row_heading level1 row6\" >2</th>\n","      <td id=\"T_046c4_row6_col0\" class=\"data row6 col0\" >56.666667</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row7\" class=\"row_heading level1 row7\" >1</th>\n","      <td id=\"T_046c4_row7_col0\" class=\"data row7 col0\" >43.333333</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row8\" class=\"row_heading level0 row8\" rowspan=\"2\">5.0</th>\n","      <th id=\"T_046c4_level1_row8\" class=\"row_heading level1 row8\" >1</th>\n","      <td id=\"T_046c4_row8_col0\" class=\"data row8 col0\" >61.538462</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row9\" class=\"row_heading level1 row9\" >2</th>\n","      <td id=\"T_046c4_row9_col0\" class=\"data row9 col0\" >38.461538</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row10\" class=\"row_heading level0 row10\" rowspan=\"2\">6.0</th>\n","      <th id=\"T_046c4_level1_row10\" class=\"row_heading level1 row10\" >2</th>\n","      <td id=\"T_046c4_row10_col0\" class=\"data row10 col0\" >64.705882</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row11\" class=\"row_heading level1 row11\" >1</th>\n","      <td id=\"T_046c4_row11_col0\" class=\"data row11 col0\" >35.294118</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row12\" class=\"row_heading level0 row12\" rowspan=\"2\">7.0</th>\n","      <th id=\"T_046c4_level1_row12\" class=\"row_heading level1 row12\" >2</th>\n","      <td id=\"T_046c4_row12_col0\" class=\"data row12 col0\" >66.666667</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row13\" class=\"row_heading level1 row13\" >1</th>\n","      <td id=\"T_046c4_row13_col0\" class=\"data row13 col0\" >33.333333</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row14\" class=\"row_heading level0 row14\" rowspan=\"2\">8.0</th>\n","      <th id=\"T_046c4_level1_row14\" class=\"row_heading level1 row14\" >2</th>\n","      <td id=\"T_046c4_row14_col0\" class=\"data row14 col0\" >56.410256</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row15\" class=\"row_heading level1 row15\" >1</th>\n","      <td id=\"T_046c4_row15_col0\" class=\"data row15 col0\" >43.589744</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"2\">9.0</th>\n","      <th id=\"T_046c4_level1_row16\" class=\"row_heading level1 row16\" >2</th>\n","      <td id=\"T_046c4_row16_col0\" class=\"data row16 col0\" >62.500000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row17\" class=\"row_heading level1 row17\" >1</th>\n","      <td id=\"T_046c4_row17_col0\" class=\"data row17 col0\" >37.500000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row18\" class=\"row_heading level0 row18\" rowspan=\"2\">10.0</th>\n","      <th id=\"T_046c4_level1_row18\" class=\"row_heading level1 row18\" >1</th>\n","      <td id=\"T_046c4_row18_col0\" class=\"data row18 col0\" >53.333333</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row19\" class=\"row_heading level1 row19\" >2</th>\n","      <td id=\"T_046c4_row19_col0\" class=\"data row19 col0\" >46.666667</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row20\" class=\"row_heading level0 row20\" rowspan=\"2\">11.0</th>\n","      <th id=\"T_046c4_level1_row20\" class=\"row_heading level1 row20\" >1</th>\n","      <td id=\"T_046c4_row20_col0\" class=\"data row20 col0\" >90.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row21\" class=\"row_heading level1 row21\" >2</th>\n","      <td id=\"T_046c4_row21_col0\" class=\"data row21 col0\" >10.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row22\" class=\"row_heading level0 row22\" rowspan=\"2\">12.0</th>\n","      <th id=\"T_046c4_level1_row22\" class=\"row_heading level1 row22\" >1</th>\n","      <td id=\"T_046c4_row22_col0\" class=\"data row22 col0\" >83.333333</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row23\" class=\"row_heading level1 row23\" >2</th>\n","      <td id=\"T_046c4_row23_col0\" class=\"data row23 col0\" >16.666667</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row24\" class=\"row_heading level0 row24\" rowspan=\"2\">13.0</th>\n","      <th id=\"T_046c4_level1_row24\" class=\"row_heading level1 row24\" >1</th>\n","      <td id=\"T_046c4_row24_col0\" class=\"data row24 col0\" >90.909091</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row25\" class=\"row_heading level1 row25\" >2</th>\n","      <td id=\"T_046c4_row25_col0\" class=\"data row25 col0\" >9.090909</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row26\" class=\"row_heading level0 row26\" rowspan=\"2\">14.0</th>\n","      <th id=\"T_046c4_level1_row26\" class=\"row_heading level1 row26\" >1</th>\n","      <td id=\"T_046c4_row26_col0\" class=\"data row26 col0\" >78.571429</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row27\" class=\"row_heading level1 row27\" >2</th>\n","      <td id=\"T_046c4_row27_col0\" class=\"data row27 col0\" >21.428571</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level0_row28\" class=\"row_heading level0 row28\" rowspan=\"2\">15.0</th>\n","      <th id=\"T_046c4_level1_row28\" class=\"row_heading level1 row28\" >1</th>\n","      <td id=\"T_046c4_row28_col0\" class=\"data row28 col0\" >81.818182</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_046c4_level1_row29\" class=\"row_heading level1 row29\" >2</th>\n","      <td id=\"T_046c4_row29_col0\" class=\"data row29 col0\" >18.181818</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ceb672b0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_c235e_row0_col0 {\n","  background-color: #a8cee4;\n","  color: #000000;\n","}\n","#T_c235e_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_c235e_row2_col0, #T_c235e_row3_col0 {\n","  background-color: #d5e5f4;\n","  color: #000000;\n","}\n","#T_c235e_row4_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_c235e_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Mono_or_Polysymptomatic</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_c235e_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">1</th>\n","      <th id=\"T_c235e_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_c235e_row0_col0\" class=\"data row0 col0\" >60.493827</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c235e_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_c235e_row1_col0\" class=\"data row1 col0\" >39.506173</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c235e_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">2</th>\n","      <th id=\"T_c235e_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_c235e_row2_col0\" class=\"data row2 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c235e_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_c235e_row3_col0\" class=\"data row3 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_c235e_level0_row4\" class=\"row_heading level0 row4\" >3</th>\n","      <th id=\"T_c235e_level1_row4\" class=\"row_heading level1 row4\" >2</th>\n","      <td id=\"T_c235e_row4_col0\" class=\"data row4 col0\" >100.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ceb61c70>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_dcbc2_row0_col0 {\n","  background-color: #5da5d1;\n","  color: #f1f1f1;\n","}\n","#T_dcbc2_row1_col0 {\n","  background-color: #d6e5f4;\n","  color: #000000;\n","}\n","#T_dcbc2_row2_col0 {\n","  background-color: #2b7bba;\n","  color: #f1f1f1;\n","}\n","#T_dcbc2_row3_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_dcbc2_row4_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_dcbc2_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Oligoclonal_Bands</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_dcbc2_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_dcbc2_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_dcbc2_row0_col0\" class=\"data row0 col0\" >64.516129</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_dcbc2_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_dcbc2_row1_col0\" class=\"data row1 col0\" >35.483871</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_dcbc2_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_dcbc2_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_dcbc2_row2_col0\" class=\"data row2 col0\" >77.631579</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_dcbc2_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_dcbc2_row3_col0\" class=\"data row3 col0\" >22.368421</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_dcbc2_level0_row4\" class=\"row_heading level0 row4\" >2</th>\n","      <th id=\"T_dcbc2_level1_row4\" class=\"row_heading level1 row4\" >2</th>\n","      <td id=\"T_dcbc2_row4_col0\" class=\"data row4 col0\" >100.000000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1cebd9ac0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_e5651_row0_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_e5651_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_e5651_row2_col0 {\n","  background-color: #1460a8;\n","  color: #f1f1f1;\n","}\n","#T_e5651_row3_col0 {\n","  background-color: #d3e3f3;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_e5651_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >LLSSEP</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_e5651_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_e5651_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_e5651_row0_col0\" class=\"data row0 col0\" >63.694268</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e5651_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_e5651_row1_col0\" class=\"data row1 col0\" >36.305732</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e5651_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_e5651_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_e5651_row2_col0\" class=\"data row2 col0\" >58.620690</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_e5651_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_e5651_row3_col0\" class=\"data row3 col0\" >41.379310</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ced61d90>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_5674b_row0_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_5674b_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_5674b_row2_col0 {\n","  background-color: #0a549e;\n","  color: #f1f1f1;\n","}\n","#T_5674b_row3_col0 {\n","  background-color: #dce9f6;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_5674b_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >ULSSEP</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_5674b_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_5674b_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_5674b_row0_col0\" class=\"data row0 col0\" >61.627907</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5674b_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_5674b_row1_col0\" class=\"data row1 col0\" >38.372093</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5674b_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_5674b_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_5674b_row2_col0\" class=\"data row2 col0\" >58.415842</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5674b_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_5674b_row3_col0\" class=\"data row3 col0\" >41.584158</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ce948220>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_044fe_row0_col0 {\n","  background-color: #083573;\n","  color: #f1f1f1;\n","}\n","#T_044fe_row1_col0 {\n","  background-color: #f3f8fe;\n","  color: #000000;\n","}\n","#T_044fe_row2_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_044fe_row3_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_044fe_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >VEP</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_044fe_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_044fe_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_044fe_row0_col0\" class=\"data row0 col0\" >61.375661</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_044fe_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_044fe_row1_col0\" class=\"data row1 col0\" >38.624339</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_044fe_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_044fe_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_044fe_row2_col0\" class=\"data row2 col0\" >61.904762</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_044fe_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_044fe_row3_col0\" class=\"data row3 col0\" >38.095238</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1cc6258b0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_b552c_row0_col0 {\n","  background-color: #084082;\n","  color: #f1f1f1;\n","}\n","#T_b552c_row1_col0 {\n","  background-color: #ebf3fb;\n","  color: #000000;\n","}\n","#T_b552c_row2_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_b552c_row3_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_b552c_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >BAEP</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_b552c_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_b552c_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_b552c_row0_col0\" class=\"data row0 col0\" >54.901961</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_b552c_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_b552c_row1_col0\" class=\"data row1 col0\" >45.098039</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_b552c_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_b552c_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_b552c_row2_col0\" class=\"data row2 col0\" >55.555556</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_b552c_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_b552c_row3_col0\" class=\"data row3 col0\" >44.444444</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ced61ac0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_4a9ac_row0_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_4a9ac_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_4a9ac_row2_col0 {\n","  background-color: #0b559f;\n","  color: #f1f1f1;\n","}\n","#T_4a9ac_row3_col0 {\n","  background-color: #dbe9f6;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_4a9ac_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Periventricular_MRI</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_4a9ac_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_4a9ac_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_4a9ac_row0_col0\" class=\"data row0 col0\" >81.481481</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_4a9ac_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_4a9ac_row1_col0\" class=\"data row1 col0\" >18.518519</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_4a9ac_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_4a9ac_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_4a9ac_row2_col0\" class=\"data row2 col0\" >72.463768</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_4a9ac_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_4a9ac_row3_col0\" class=\"data row3 col0\" >27.536232</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1cecf7be0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_965a9_row0_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_965a9_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_965a9_row2_col0 {\n","  background-color: #1562a9;\n","  color: #f1f1f1;\n","}\n","#T_965a9_row3_col0 {\n","  background-color: #d1e2f3;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_965a9_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Cortical_MRI</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_965a9_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_965a9_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_965a9_row0_col0\" class=\"data row0 col0\" >63.870968</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_965a9_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_965a9_row1_col0\" class=\"data row1 col0\" >36.129032</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_965a9_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_965a9_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_965a9_row2_col0\" class=\"data row2 col0\" >58.474576</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_965a9_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_965a9_row3_col0\" class=\"data row3 col0\" >41.525424</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ceba6970>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_5cbab_row0_col0 {\n","  background-color: #1561a9;\n","  color: #f1f1f1;\n","}\n","#T_5cbab_row1_col0 {\n","  background-color: #d2e3f3;\n","  color: #000000;\n","}\n","#T_5cbab_row2_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_5cbab_row3_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_5cbab_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Infratentorial_MRI</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_5cbab_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_5cbab_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_5cbab_row0_col0\" class=\"data row0 col0\" >67.875648</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5cbab_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_5cbab_row1_col0\" class=\"data row1 col0\" >32.124352</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5cbab_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_5cbab_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_5cbab_row2_col0\" class=\"data row2 col0\" >78.750000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5cbab_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_5cbab_row3_col0\" class=\"data row3 col0\" >21.250000</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ceb61ee0>"]},"metadata":{},"output_type":"display_data"},{"data":{"text/html":["<style type=\"text/css\">\n","#T_5c4d6_row0_col0 {\n","  background-color: #08306b;\n","  color: #f1f1f1;\n","}\n","#T_5c4d6_row1_col0 {\n","  background-color: #f7fbff;\n","  color: #000000;\n","}\n","#T_5c4d6_row2_col0 {\n","  background-color: #1b69af;\n","  color: #f1f1f1;\n","}\n","#T_5c4d6_row3_col0 {\n","  background-color: #ccdff1;\n","  color: #000000;\n","}\n","</style>\n","<table id=\"T_5c4d6_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Spinal_Cord_MRI</th>\n","      <th class=\"index_name level1\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_5c4d6_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_5c4d6_level1_row0\" class=\"row_heading level1 row0\" >2</th>\n","      <td id=\"T_5c4d6_row0_col0\" class=\"data row0 col0\" >58.288770</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5c4d6_level1_row1\" class=\"row_heading level1 row1\" >1</th>\n","      <td id=\"T_5c4d6_row1_col0\" class=\"data row1 col0\" >41.711230</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5c4d6_level0_row2\" class=\"row_heading level0 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_5c4d6_level1_row2\" class=\"row_heading level1 row2\" >1</th>\n","      <td id=\"T_5c4d6_row2_col0\" class=\"data row2 col0\" >54.651163</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_5c4d6_level1_row3\" class=\"row_heading level1 row3\" >2</th>\n","      <td id=\"T_5c4d6_row3_col0\" class=\"data row3 col0\" >45.348837</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1ce948220>"]},"metadata":{},"output_type":"display_data"}],"source":["from IPython.display import display\n","for var in categorical_vars:\n","    df = ms_df.groupby([var])['group'].value_counts(normalize=True).mul(100).to_frame(name='Percent within group (%)').style.background_gradient(cmap='Blues')\n","    display(df)"]},{"cell_type":"code","execution_count":33,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.405469Z","iopub.status.busy":"2023-11-27T20:01:02.404230Z","iopub.status.idle":"2023-11-27T20:01:02.431820Z","shell.execute_reply":"2023-11-27T20:01:02.430866Z","shell.execute_reply.started":"2023-11-27T20:01:02.405435Z"},"trusted":true},"outputs":[{"data":{"text/html":["<style type=\"text/css\">\n","#T_ee2db_row0_col0 {\n","  background-color: #c12b30;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row1_col0 {\n","  background-color: #3b4cc0;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row2_col0 {\n","  background-color: #f08b6e;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row3_col0 {\n","  background-color: #7396f5;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row4_col0 {\n","  background-color: #ea7b60;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row5_col0 {\n","  background-color: #6788ee;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row6_col0, #T_ee2db_row20_col0 {\n","  background-color: #f5c2aa;\n","  color: #000000;\n","}\n","#T_ee2db_row7_col0 {\n","  background-color: #aac7fd;\n","  color: #000000;\n","}\n","#T_ee2db_row8_col0, #T_ee2db_row10_col0 {\n","  background-color: #f59d7e;\n","  color: #000000;\n","}\n","#T_ee2db_row9_col0, #T_ee2db_row11_col0 {\n","  background-color: #82a6fb;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row12_col0 {\n","  background-color: #efcebd;\n","  color: #000000;\n","}\n","#T_ee2db_row13_col0 {\n","  background-color: #b9d0f9;\n","  color: #000000;\n","}\n","#T_ee2db_row14_col0, #T_ee2db_row15_col0 {\n","  background-color: #d8dce2;\n","  color: #000000;\n","}\n","#T_ee2db_row16_col0 {\n","  background-color: #dddcdc;\n","  color: #000000;\n","}\n","#T_ee2db_row17_col0 {\n","  background-color: #d3dbe7;\n","  color: #000000;\n","}\n","#T_ee2db_row18_col0 {\n","  background-color: #ead4c8;\n","  color: #000000;\n","}\n","#T_ee2db_row19_col0 {\n","  background-color: #c3d5f4;\n","  color: #000000;\n","}\n","#T_ee2db_row21_col0 {\n","  background-color: #a9c6fd;\n","  color: #000000;\n","}\n","#T_ee2db_row22_col0 {\n","  background-color: #ef886b;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row23_col0 {\n","  background-color: #7093f3;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row24_col0 {\n","  background-color: #ca3b37;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row25_col0 {\n","  background-color: #4055c8;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row26_col0 {\n","  background-color: #b40426;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row27_col0 {\n","  background-color: #ed8366;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row28_col0 {\n","  background-color: #6c8ff1;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row29_col0 {\n","  background-color: #dd5f4b;\n","  color: #f1f1f1;\n","}\n","#T_ee2db_row30_col0 {\n","  background-color: #5470de;\n","  color: #f1f1f1;\n","}\n","</style>\n","<table id=\"T_ee2db_\">\n","  <thead>\n","    <tr>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank\" >&nbsp;</th>\n","      <th class=\"blank level0\" >&nbsp;</th>\n","      <th class=\"col_heading level0 col0\" >Percent within group (%)</th>\n","    </tr>\n","    <tr>\n","      <th class=\"index_name level0\" >Periventricular_MRI</th>\n","      <th class=\"index_name level1\" >Infratentorial_MRI</th>\n","      <th class=\"index_name level2\" >Cortical_MRI</th>\n","      <th class=\"index_name level3\" >Spinal_Cord_MRI</th>\n","      <th class=\"index_name level4\" >group</th>\n","      <th class=\"blank col0\" >&nbsp;</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th id=\"T_ee2db_level0_row0\" class=\"row_heading level0 row0\" rowspan=\"16\">0</th>\n","      <th id=\"T_ee2db_level1_row0\" class=\"row_heading level1 row0\" rowspan=\"8\">0</th>\n","      <th id=\"T_ee2db_level2_row0\" class=\"row_heading level2 row0\" rowspan=\"4\">0</th>\n","      <th id=\"T_ee2db_level3_row0\" class=\"row_heading level3 row0\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row0\" class=\"row_heading level4 row0\" >2</th>\n","      <td id=\"T_ee2db_row0_col0\" class=\"data row0 col0\" >96.363636</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row1\" class=\"row_heading level4 row1\" >1</th>\n","      <td id=\"T_ee2db_row1_col0\" class=\"data row1 col0\" >3.636364</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row2\" class=\"row_heading level3 row2\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row2\" class=\"row_heading level4 row2\" >2</th>\n","      <td id=\"T_ee2db_row2_col0\" class=\"data row2 col0\" >79.166667</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row3\" class=\"row_heading level4 row3\" >1</th>\n","      <td id=\"T_ee2db_row3_col0\" class=\"data row3 col0\" >20.833333</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level2_row4\" class=\"row_heading level2 row4\" rowspan=\"4\">1</th>\n","      <th id=\"T_ee2db_level3_row4\" class=\"row_heading level3 row4\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row4\" class=\"row_heading level4 row4\" >2</th>\n","      <td id=\"T_ee2db_row4_col0\" class=\"data row4 col0\" >82.608696</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row5\" class=\"row_heading level4 row5\" >1</th>\n","      <td id=\"T_ee2db_row5_col0\" class=\"data row5 col0\" >17.391304</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row6\" class=\"row_heading level3 row6\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row6\" class=\"row_heading level4 row6\" >2</th>\n","      <td id=\"T_ee2db_row6_col0\" class=\"data row6 col0\" >64.285714</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row7\" class=\"row_heading level4 row7\" >1</th>\n","      <td id=\"T_ee2db_row7_col0\" class=\"data row7 col0\" >35.714286</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level1_row8\" class=\"row_heading level1 row8\" rowspan=\"8\">1</th>\n","      <th id=\"T_ee2db_level2_row8\" class=\"row_heading level2 row8\" rowspan=\"4\">0</th>\n","      <th id=\"T_ee2db_level3_row8\" class=\"row_heading level3 row8\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row8\" class=\"row_heading level4 row8\" >2</th>\n","      <td id=\"T_ee2db_row8_col0\" class=\"data row8 col0\" >75.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row9\" class=\"row_heading level4 row9\" >1</th>\n","      <td id=\"T_ee2db_row9_col0\" class=\"data row9 col0\" >25.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row10\" class=\"row_heading level3 row10\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row10\" class=\"row_heading level4 row10\" >1</th>\n","      <td id=\"T_ee2db_row10_col0\" class=\"data row10 col0\" >75.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row11\" class=\"row_heading level4 row11\" >2</th>\n","      <td id=\"T_ee2db_row11_col0\" class=\"data row11 col0\" >25.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level2_row12\" class=\"row_heading level2 row12\" rowspan=\"4\">1</th>\n","      <th id=\"T_ee2db_level3_row12\" class=\"row_heading level3 row12\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row12\" class=\"row_heading level4 row12\" >1</th>\n","      <td id=\"T_ee2db_row12_col0\" class=\"data row12 col0\" >60.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row13\" class=\"row_heading level4 row13\" >2</th>\n","      <td id=\"T_ee2db_row13_col0\" class=\"data row13 col0\" >40.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row14\" class=\"row_heading level3 row14\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row14\" class=\"row_heading level4 row14\" >1</th>\n","      <td id=\"T_ee2db_row14_col0\" class=\"data row14 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row15\" class=\"row_heading level4 row15\" >2</th>\n","      <td id=\"T_ee2db_row15_col0\" class=\"data row15 col0\" >50.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level0_row16\" class=\"row_heading level0 row16\" rowspan=\"15\">1</th>\n","      <th id=\"T_ee2db_level1_row16\" class=\"row_heading level1 row16\" rowspan=\"8\">0</th>\n","      <th id=\"T_ee2db_level2_row16\" class=\"row_heading level2 row16\" rowspan=\"4\">0</th>\n","      <th id=\"T_ee2db_level3_row16\" class=\"row_heading level3 row16\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row16\" class=\"row_heading level4 row16\" >1</th>\n","      <td id=\"T_ee2db_row16_col0\" class=\"data row16 col0\" >51.851852</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row17\" class=\"row_heading level4 row17\" >2</th>\n","      <td id=\"T_ee2db_row17_col0\" class=\"data row17 col0\" >48.148148</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row18\" class=\"row_heading level3 row18\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row18\" class=\"row_heading level4 row18\" >1</th>\n","      <td id=\"T_ee2db_row18_col0\" class=\"data row18 col0\" >57.142857</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row19\" class=\"row_heading level4 row19\" >2</th>\n","      <td id=\"T_ee2db_row19_col0\" class=\"data row19 col0\" >42.857143</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level2_row20\" class=\"row_heading level2 row20\" rowspan=\"4\">1</th>\n","      <th id=\"T_ee2db_level3_row20\" class=\"row_heading level3 row20\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row20\" class=\"row_heading level4 row20\" >1</th>\n","      <td id=\"T_ee2db_row20_col0\" class=\"data row20 col0\" >64.516129</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row21\" class=\"row_heading level4 row21\" >2</th>\n","      <td id=\"T_ee2db_row21_col0\" class=\"data row21 col0\" >35.483871</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row22\" class=\"row_heading level3 row22\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row22\" class=\"row_heading level4 row22\" >1</th>\n","      <td id=\"T_ee2db_row22_col0\" class=\"data row22 col0\" >80.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row23\" class=\"row_heading level4 row23\" >2</th>\n","      <td id=\"T_ee2db_row23_col0\" class=\"data row23 col0\" >20.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level1_row24\" class=\"row_heading level1 row24\" rowspan=\"7\">1</th>\n","      <th id=\"T_ee2db_level2_row24\" class=\"row_heading level2 row24\" rowspan=\"3\">0</th>\n","      <th id=\"T_ee2db_level3_row24\" class=\"row_heading level3 row24\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row24\" class=\"row_heading level4 row24\" >1</th>\n","      <td id=\"T_ee2db_row24_col0\" class=\"data row24 col0\" >94.117647</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row25\" class=\"row_heading level4 row25\" >2</th>\n","      <td id=\"T_ee2db_row25_col0\" class=\"data row25 col0\" >5.882353</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row26\" class=\"row_heading level3 row26\" >1</th>\n","      <th id=\"T_ee2db_level4_row26\" class=\"row_heading level4 row26\" >1</th>\n","      <td id=\"T_ee2db_row26_col0\" class=\"data row26 col0\" >100.000000</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level2_row27\" class=\"row_heading level2 row27\" rowspan=\"4\">1</th>\n","      <th id=\"T_ee2db_level3_row27\" class=\"row_heading level3 row27\" rowspan=\"2\">0</th>\n","      <th id=\"T_ee2db_level4_row27\" class=\"row_heading level4 row27\" >1</th>\n","      <td id=\"T_ee2db_row27_col0\" class=\"data row27 col0\" >80.952381</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row28\" class=\"row_heading level4 row28\" >2</th>\n","      <td id=\"T_ee2db_row28_col0\" class=\"data row28 col0\" >19.047619</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level3_row29\" class=\"row_heading level3 row29\" rowspan=\"2\">1</th>\n","      <th id=\"T_ee2db_level4_row29\" class=\"row_heading level4 row29\" >1</th>\n","      <td id=\"T_ee2db_row29_col0\" class=\"data row29 col0\" >88.235294</td>\n","    </tr>\n","    <tr>\n","      <th id=\"T_ee2db_level4_row30\" class=\"row_heading level4 row30\" >2</th>\n","      <td id=\"T_ee2db_row30_col0\" class=\"data row30 col0\" >11.764706</td>\n","    </tr>\n","  </tbody>\n","</table>\n"],"text/plain":["<pandas.io.formats.style.Styler at 0x1b1b77d7e20>"]},"execution_count":33,"metadata":{},"output_type":"execute_result"}],"source":["ms_df.groupby(['Periventricular_MRI','Infratentorial_MRI','Cortical_MRI', 'Spinal_Cord_MRI'])['group']\\\n",".value_counts(normalize=True).mul(100).to_frame(name='Percent within group (%)').style.background_gradient(cmap='coolwarm')"]},{"cell_type":"markdown","metadata":{},"source":["### Analyzing dataset dirtribution"]},{"cell_type":"code","execution_count":34,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.433100Z","iopub.status.busy":"2023-11-27T20:01:02.432792Z","iopub.status.idle":"2023-11-27T20:01:02.440165Z","shell.execute_reply":"2023-11-27T20:01:02.439438Z","shell.execute_reply.started":"2023-11-27T20:01:02.433073Z"},"trusted":true},"outputs":[{"data":{"text/plain":["2    148\n","1    125\n","Name: group, dtype: int64"]},"execution_count":34,"metadata":{},"output_type":"execute_result"}],"source":["ms_df['group'].value_counts()"]},{"cell_type":"code","execution_count":35,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.441351Z","iopub.status.busy":"2023-11-27T20:01:02.441040Z","iopub.status.idle":"2023-11-27T20:01:02.661767Z","shell.execute_reply":"2023-11-27T20:01:02.660676Z","shell.execute_reply.started":"2023-11-27T20:01:02.441325Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 432x432 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["fig , ax= plt.subplots(figsize=(6,6))\n","group = ms_df.group.value_counts()\n","ax.pie(x = group.values ,\n","       labels = group.index ,\n","       shadow=True ,\n","       colors=[\"Salmon\",\"lightblue\"] ,\n","       explode = [0 , 0.1] ,\n","       autopct=\"%.2F\" );\n","ax.set(title=\"Multiple Sclerosis Disease\")\n","ax.legend([\"non-CDMS\",\"CDMs\"]);"]},{"cell_type":"code","execution_count":36,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:02.664188Z","iopub.status.busy":"2023-11-27T20:01:02.663507Z","iopub.status.idle":"2023-11-27T20:01:03.768547Z","shell.execute_reply":"2023-11-27T20:01:03.767682Z","shell.execute_reply.started":"2023-11-27T20:01:02.664147Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1080x576 with 2 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["plt.figure(figsize =(15,8))\n","cmap = sns.color_palette('coolwarm', as_cmap=True)\n","sns.heatmap(ms_df_imputed.corr(),annot =True,cmap = cmap)\n","plt.show()"]},{"cell_type":"code","execution_count":37,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:03.770172Z","iopub.status.busy":"2023-11-27T20:01:03.769711Z","iopub.status.idle":"2023-11-27T20:01:04.258058Z","shell.execute_reply":"2023-11-27T20:01:04.257044Z","shell.execute_reply.started":"2023-11-27T20:01:03.770143Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1080x720 with 2 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["corr =ms_df.loc[:,['Periventricular_MRI','Cortical_MRI','Infratentorial_MRI','Spinal_Cord_MRI','group']].corr()\n","cmap = sns.color_palette('coolwarm', as_cmap=True)\n","plt.figure(figsize=(15,10))\n","sns.heatmap(data = corr,cmap=cmap, annot = True)\n","plt.title('Correlation between the MRI\\'s and group category');"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":38,"metadata":{},"outputs":[],"source":["# PCA to explain 99% percantage of the variability in the data\n","pca_reducer = PCA(n_components=10)\n","\n","brain_gene_pca_df = pd.DataFrame(pca_reducer.fit_transform(ms_df_imputed))"]},{"cell_type":"code","execution_count":39,"metadata":{},"outputs":[{"data":{"text/plain":["array([11.12818682,  4.25176031,  4.13469773,  1.0213962 ])"]},"execution_count":39,"metadata":{},"output_type":"execute_result"}],"source":["brain_gene_pca_df.iloc[:, :4].std(axis=0, ddof=0).to_numpy()"]},{"cell_type":"code","execution_count":40,"metadata":{},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>0</th>\n","      <th>1</th>\n","      <th>2</th>\n","      <th>3</th>\n","      <th>4</th>\n","      <th>5</th>\n","      <th>6</th>\n","      <th>7</th>\n","      <th>8</th>\n","      <th>9</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-0.590567</td>\n","      <td>-0.313686</td>\n","      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-1.166736  0.452259 -0.512019  0.295147   \n","4    -0.419868  2.763218 -3.959066 -0.199917 -0.073346  0.013125 -0.214897   \n","..         ...       ...       ...       ...       ...       ...       ...   \n","268  -2.458902 -2.703312  7.359289  0.471916 -1.225185  0.094280  0.135110   \n","269 -13.066406 -1.380356  0.352784  1.826441 -0.293083 -0.133305  0.860168   \n","270 -14.473042  2.851303  7.906941  1.625950 -0.116238  1.577038  0.274701   \n","271  -1.635218  6.437415  5.842401  1.614430  0.587590  0.165012 -0.047127   \n","272  43.217984 -9.031640  0.703853  1.446497 -0.261394  0.229378 -0.130698   \n","\n","            7         8         9  \n","0    0.028673  0.582721  0.325340  \n","1    0.450790  0.250462  0.348497  \n","2    0.554443 -0.032331  0.528855  \n","3   -0.288734 -0.664339 -0.204191  \n","4    0.974673 -0.275554 -0.138084  \n","..        ...       ...       ...  \n","268  1.127827 -0.526118  0.282550  \n","269 -0.510271  0.470660  0.091195  \n","270 -0.389779  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","text/plain":["<Figure size 432x288 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["brain_gene_pca_df.iloc[:, :31].var(axis=0, ddof=0).plot(kind='bar', rot=0)\n","plt.ylabel('Variances')"]},{"cell_type":"code","execution_count":42,"metadata":{},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure size 1440x360 with 2 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(20, 5))\n","sns.set_palette(\"coolwarm\")\n","# Left plot\n","ax1.plot(pca_reducer.explained_variance_ratio_, '-o')\n","ax1.set_ylabel('Proportion of Variance Explained')\n","ax1.set_ylim(ymin=-0.01)\n","\n","# Right plot\n","ax2.plot(np.cumsum(pca_reducer.explained_variance_ratio_), '-ro')\n","ax2.set_ylabel('Cumulative Variance Explained')\n","ax2.set_ylim(ymax=1.05)\n","\n","for ax in fig.axes:\n","    ax.set_xlabel('Principal Component')\n","    ax.set_xlim(-1, 10)"]},{"cell_type":"markdown","metadata":{},"source":["7. Initial_Symptoms: 1=visual, 2=sensory, 3=motor, 4=other, 5= visual and sensory,\n","6=visual and motor, 7=visual and others, 8=sensory and motor, 9=sensory and other,\n","10=motor and other, 11=Visual, sensory and motor, 12=visual, sensory and other,\n","13=Visual, motor and other, 14=Sensory, motor and other, 15=visual,sensory,motor\n","and other\n","8. **Mono _or_Polysymptomatic**: 1=monosymptomatic, 2=polysymptomatic, 3=unknown\n","9. Oligoclonal_Bands: 0=negative, 1=positive, 2=unknown\n","10. Lower-Limb Somatosensory Evoked Potentials (LLSSEP): 0=negative, 1=positive\n","11. Upper-Limb Somatosensory Evoked Potentials (ULSEP):0=negative, 1=positive\n","12. Visual Evoked Potentials (VEP):0=negative, 1=positive\n","13. Brainstem Auditory Evoked Potentials (BAEP): 0=negative, 1=positive\n","14. Periventricular_MRI:0=negative, 1=positive\n","15. Cortical_MRI: 0=negative, 1=positive\n","16. Infratentorial_MRI:0=negative, 1=positive\n","17. Spinal_Cord_MRI: 0=negative, 1=positive"]},{"cell_type":"code","execution_count":43,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:04.259897Z","iopub.status.busy":"2023-11-27T20:01:04.259494Z","iopub.status.idle":"2023-11-27T20:01:04.267190Z","shell.execute_reply":"2023-11-27T20:01:04.266164Z","shell.execute_reply.started":"2023-11-27T20:01:04.259858Z"},"trusted":true},"outputs":[],"source":["gender = {1:'Male', 2: 'Female'}\n","breastfeeding = {1: 'yes', 2:'no', 3:'unknown'}\n","varicella = {1 : 'positive', 2: 'negative', 3: 'unknown'}\n","mono_polysymptomatic = {1:'monosymptomatic', 2:'polysymptomatic', 3:'unknown'}\n","oligoclonal_bands = {0: 'negative', 1:'positive' , 2:'unkown'}\n","llssep = {0:'negative',1:'positive'}\n","ulssep = {0:'negative',1:'positive'}\n","vep = {0:'negative',1:'positive'}\n","baep = {0:'negative',1:'positive'}\n","per_mri = {0:'negative',1:'positive'}\n","cor_mri = {0:'negative',1:'positive'}\n","infra_mri = {0:'negative',1:'positive'}\n","spinal_mri = {0:'negative',1:'positive'}\n","group = {1: 'CDMS' , 2: 'Non-CDMS' }"]},{"cell_type":"code","execution_count":44,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:04.275932Z","iopub.status.busy":"2023-11-27T20:01:04.275623Z","iopub.status.idle":"2023-11-27T20:01:04.285360Z","shell.execute_reply":"2023-11-27T20:01:04.284326Z","shell.execute_reply.started":"2023-11-27T20:01:04.275907Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Index(['Gender', 'Age', 'Schooling', 'Breastfeeding', 'Varicella',\n","       'Initial_Symptom', 'Mono_or_Polysymptomatic', 'Oligoclonal_Bands',\n","       'LLSSEP', 'ULSSEP', 'VEP', 'BAEP', 'Periventricular_MRI',\n","       'Cortical_MRI', 'Infratentorial_MRI', 'Spinal_Cord_MRI', 'group'],\n","      dtype='object')"]},"execution_count":44,"metadata":{},"output_type":"execute_result"}],"source":["ms_df.columns"]},{"cell_type":"code","execution_count":45,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:04.286942Z","iopub.status.busy":"2023-11-27T20:01:04.286559Z","iopub.status.idle":"2023-11-27T20:01:04.305956Z","shell.execute_reply":"2023-11-27T20:01:04.304970Z","shell.execute_reply.started":"2023-11-27T20:01:04.286915Z"},"trusted":true},"outputs":[],"source":["ms_df['Gender'] = ms_df['Gender'].map(gender)\n","ms_df['Breastfeeding'] = ms_df['Breastfeeding'].map(breastfeeding)\n","ms_df['Varicella'] = ms_df['Varicella'].map(varicella)\n","ms_df['Mono_or_Polysymptomatic'] = ms_df['Mono_or_Polysymptomatic'].map(mono_polysymptomatic)\n","ms_df['Oligoclonal_Bands'] = ms_df['Oligoclonal_Bands'].map(oligoclonal_bands)\n","ms_df['LLSSEP'] = ms_df['LLSSEP'].map(llssep)\n","ms_df['ULSSEP'] = ms_df['ULSSEP'].map(ulssep)\n","ms_df['VEP'] = ms_df['VEP'].map(vep)\n","ms_df['BAEP'] = ms_df['BAEP'].map(baep)\n","ms_df['Periventricular_MRI'] = ms_df['Periventricular_MRI'].map(per_mri)\n","ms_df['Cortical_MRI'] = ms_df['Cortical_MRI'].map(cor_mri)\n","ms_df['Infratentorial_MRI'] = ms_df['Infratentorial_MRI'].map(infra_mri)\n","ms_df['Spinal_Cord_MRI'] = ms_df['Spinal_Cord_MRI'].map(spinal_mri)\n","ms_df['group'] = ms_df['group'].map(group)\n"]},{"cell_type":"code","execution_count":46,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:04.307864Z","iopub.status.busy":"2023-11-27T20:01:04.307419Z","iopub.status.idle":"2023-11-27T20:01:08.451854Z","shell.execute_reply":"2023-11-27T20:01:08.450774Z","shell.execute_reply.started":"2023-11-27T20:01:04.307835Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure size 720x432 with 1 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size 720x432 with 1 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size 720x432 with 1 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure size 720x432 with 1 Axes>"]},"metadata":{"needs_background":"light"},"output_type":"display_data"}],"source":["\n","for i,var in enumerate(categorical_vars):\n","    cat= pd.crosstab(ms_df_imputed[\"group\"], ms_df_imputed[var])\n","    # plt.subplot(5, 4, i+1)\n","    cat.plot(kind=\"bar\" ,\n","            figsize=(10,6),\n","            title=f\"The Relation Betwwen The {var} And The Multiple Sclerosis Disease\",\n","            cmap = 'coolwarm'\n","            );\n","    plt.ylabel(\"The Amount\")\n","    plt.legend()\n","plt.tight_layout()\n","plt.show()"]},{"cell_type":"code","execution_count":47,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:08.454407Z","iopub.status.busy":"2023-11-27T20:01:08.453616Z","iopub.status.idle":"2023-11-27T20:01:13.644153Z","shell.execute_reply":"2023-11-27T20:01:13.643004Z","shell.execute_reply.started":"2023-11-27T20:01:08.454366Z"},"trusted":true},"outputs":[{"data":{"image/png":"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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure 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","text/plain":["<Figure size 576x720 with 1 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","text/plain":["<Figure 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","text/plain":["<Figure size 576x720 with 1 Axes>"]},"metadata":{},"output_type":"display_data"}],"source":["col = ['Gender', 'Varicella', 'Initial_Symptom', 'LLSSEP','ULSSEP', 'VEP', 'BAEP', 'Periventricular_MRI', 'Cortical_MRI', 'Infratentorial_MRI', 'Spinal_Cord_MRI']\n","for i in col:\n","    # count_plot(ms_df, i, 'Distribustion of the target variable - '+i, hue=0)\n","    count_plot(ms_df_imputed, i, 'Distribustion of the target variable - '+i, hue=1)"]},{"cell_type":"markdown","metadata":{},"source":["### Experimentary Data Analysis"]},{"cell_type":"code","execution_count":48,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:13.646084Z","iopub.status.busy":"2023-11-27T20:01:13.645658Z","iopub.status.idle":"2023-11-27T20:01:14.300997Z","shell.execute_reply":"2023-11-27T20:01:14.299759Z","shell.execute_reply.started":"2023-11-27T20:01:13.646045Z"},"trusted":true},"outputs":[],"source":["\n","from sklearn.model_selection import cross_val_score , train_test_split ,RandomizedSearchCV , GridSearchCV \n","from sklearn.metrics import accuracy_score , classification_report , f1_score , precision_score , recall_score , roc_curve\n","from sklearn.preprocessing import StandardScaler , LabelEncoder\n","from sklearn.impute import SimpleImputer\n","from sklearn.compose import ColumnTransformer\n","import warnings"]},{"cell_type":"code","execution_count":49,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.302796Z","iopub.status.busy":"2023-11-27T20:01:14.302304Z","iopub.status.idle":"2023-11-27T20:01:14.311395Z","shell.execute_reply":"2023-11-27T20:01:14.310380Z","shell.execute_reply.started":"2023-11-27T20:01:14.302766Z"},"trusted":true},"outputs":[],"source":["df_test = pd.read_csv(\n","    \"data\\conversion_predictors_of_clinically_isolated_syndrome_to_multiple_sclerosis.csv\")"]},{"cell_type":"code","execution_count":50,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.313823Z","iopub.status.busy":"2023-11-27T20:01:14.312851Z","iopub.status.idle":"2023-11-27T20:01:14.319182Z","shell.execute_reply":"2023-11-27T20:01:14.318333Z","shell.execute_reply.started":"2023-11-27T20:01:14.313792Z"},"trusted":true},"outputs":[],"source":["df_test.drop('Unnamed: 0',axis=1,inplace=True)"]},{"cell_type":"code","execution_count":51,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.321414Z","iopub.status.busy":"2023-11-27T20:01:14.320491Z","iopub.status.idle":"2023-11-27T20:01:14.331750Z","shell.execute_reply":"2023-11-27T20:01:14.330803Z","shell.execute_reply.started":"2023-11-27T20:01:14.321383Z"},"trusted":true},"outputs":[],"source":["Missing_value_Median= [\"Schooling\",\"Initial_Symptom\"]\n","Missing_value_Frequency =[\"Final_EDSS\",\"Initial_EDSS\"]\n","imputer_median = SimpleImputer(strategy=\"median\")\n","imputer_frequency = SimpleImputer(strategy=\"most_frequent\")\n","imputer = ColumnTransformer([(\"imputer_median\", imputer_median , Missing_value_Median),\n","                            (\"imputer_frequency\", imputer_frequency , Missing_value_Frequency)], remainder=\"passthrough\")"]},{"cell_type":"code","execution_count":52,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.333841Z","iopub.status.busy":"2023-11-27T20:01:14.333202Z","iopub.status.idle":"2023-11-27T20:01:14.356807Z","shell.execute_reply":"2023-11-27T20:01:14.355901Z","shell.execute_reply.started":"2023-11-27T20:01:14.333812Z"},"trusted":true},"outputs":[],"source":["df_imputed = imputer.fit_transform(df_test)"]},{"cell_type":"code","execution_count":53,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.358790Z","iopub.status.busy":"2023-11-27T20:01:14.358200Z","iopub.status.idle":"2023-11-27T20:01:14.364464Z","shell.execute_reply":"2023-11-27T20:01:14.363636Z","shell.execute_reply.started":"2023-11-27T20:01:14.358761Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Index(['Percent within group (%)'], dtype='object')"]},"execution_count":53,"metadata":{},"output_type":"execute_result"}],"source":["df.columns"]},{"cell_type":"code","execution_count":54,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.366557Z","iopub.status.busy":"2023-11-27T20:01:14.365660Z","iopub.status.idle":"2023-11-27T20:01:14.405161Z","shell.execute_reply":"2023-11-27T20:01:14.404384Z","shell.execute_reply.started":"2023-11-27T20:01:14.366530Z"},"trusted":true},"outputs":[{"data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>Schooling</th>\n","      <th>Initial_Symptom</th>\n","      <th>Final_EDSS</th>\n","      <th>Initial_EDSS</th>\n","      <th>Gender</th>\n","      <th>Age</th>\n","      <th>Breastfeeding</th>\n","      <th>Varicella</th>\n","      <th>Mono_or_Polysymptomatic</th>\n","      <th>Oligoclonal_Bands</th>\n","      <th>LLSSEP</th>\n","      <th>ULSSEP</th>\n","      <th>VEP</th>\n","      <th>BAEP</th>\n","      <th>Periventricular_MRI</th>\n","      <th>Cortical_MRI</th>\n","      <th>Infratentorial_MRI</th>\n","      <th>Spinal_Cord_MRI</th>\n","      <th>group</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>20.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>34.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>25.0</td>\n","      <td>10.0</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>61.0</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>20.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>22.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>15.0</td>\n","      <td>7.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>41.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>20.0</td>\n","      <td>6.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>34.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","    </tr>\n","    <tr>\n","      <th>...</th>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","      <td>...</td>\n","    </tr>\n","    <tr>\n","      <th>268</th>\n","      <td>8.0</td>\n","      <td>9.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>31.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>269</th>\n","      <td>15.0</td>\n","      <td>5.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>21.0</td>\n","      <td>3.0</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>270</th>\n","      <td>12.0</td>\n","      <td>13.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>19.0</td>\n","      <td>3.0</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>271</th>\n","      <td>15.0</td>\n","      <td>15.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>32.0</td>\n","      <td>3.0</td>\n","      <td>3.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","    </tr>\n","    <tr>\n","      <th>272</th>\n","      <td>6.0</td>\n","      <td>2.0</td>\n","      <td>1.0</td>\n","      <td>1.0</td>\n","      <td>2.0</td>\n","      <td>77.0</td>\n","      <td>3.0</td>\n","      <td>3.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>1.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>0.0</td>\n","      <td>2.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","<p>273 rows × 19 columns</p>\n","</div>"],"text/plain":["     Schooling  Initial_Symptom  Final_EDSS  Initial_EDSS  Gender   Age  \\\n","0         20.0              2.0         1.0           1.0     1.0  34.0   \n","1         25.0             10.0         2.0           2.0     1.0  61.0   \n","2         20.0              3.0         1.0           1.0     1.0  22.0   \n","3         15.0              7.0         1.0           1.0     2.0  41.0   \n","4         20.0              6.0         1.0           1.0     2.0  34.0   \n","..         ...              ...         ...           ...     ...   ...   \n","268        8.0              9.0         1.0           1.0     2.0  31.0   \n","269       15.0              5.0         1.0           1.0     1.0  21.0   \n","270       12.0             13.0         1.0           1.0     2.0  19.0   \n","271       15.0             15.0         1.0           1.0     2.0  32.0   \n","272        6.0              2.0         1.0           1.0     2.0  77.0   \n","\n","     Breastfeeding  Varicella  Mono_or_Polysymptomatic  Oligoclonal_Bands  \\\n","0              1.0        1.0                      1.0                0.0   \n","1              3.0        2.0                      2.0                1.0   \n","2              3.0        1.0                      1.0                1.0   \n","3              1.0        1.0                      2.0                1.0   \n","4              2.0        1.0                      2.0                0.0   \n","..             ...        ...                      ...                ...   \n","268            3.0        1.0                      2.0                0.0   \n","269            3.0        3.0                      2.0                1.0   \n","270            3.0        3.0                      2.0                0.0   \n","271            3.0        3.0                      2.0                1.0   \n","272            3.0        3.0                      1.0                0.0   \n","\n","     LLSSEP  ULSSEP  VEP  BAEP  Periventricular_MRI  Cortical_MRI  \\\n","0       1.0     1.0  0.0   0.0                  0.0           1.0   \n","1       1.0     0.0  1.0   0.0                  0.0           0.0   \n","2       0.0     0.0  0.0   0.0                  0.0           1.0   \n","3       0.0     1.0  1.0   0.0                  1.0           1.0   \n","4       1.0     0.0  0.0   0.0                  1.0           0.0   \n","..      ...     ...  ...   ...                  ...           ...   \n","268     0.0     0.0  0.0   0.0                  0.0           0.0   \n","269     0.0     0.0  0.0   0.0                  0.0           0.0   \n","270     1.0     1.0  1.0   0.0                  0.0           0.0   \n","271     1.0     1.0  1.0   0.0                  1.0           1.0   \n","272     0.0     1.0  0.0   0.0                  0.0           0.0   \n","\n","     Infratentorial_MRI  Spinal_Cord_MRI  group  \n","0                   0.0              1.0    1.0  \n","1                   0.0              1.0    1.0  \n","2                   0.0              0.0    1.0  \n","3                   0.0              0.0    1.0  \n","4                   0.0              0.0    1.0  \n","..                  ...              ...    ...  \n","268                 0.0              0.0    2.0  \n","269                 0.0              1.0    2.0  \n","270                 0.0              1.0    2.0  \n","271                 1.0              0.0    2.0  \n","272                 0.0              0.0    2.0  \n","\n","[273 rows x 19 columns]"]},"execution_count":54,"metadata":{},"output_type":"execute_result"}],"source":["df_imputed = pd.DataFrame(data=df_imputed , columns=['Schooling','Initial_Symptom','Final_EDSS','Initial_EDSS','Gender', \n","                                                     'Age',  'Breastfeeding', 'Varicella',\n","                                                        'Mono_or_Polysymptomatic', 'Oligoclonal_Bands',\n","                                                       'LLSSEP', 'ULSSEP', 'VEP', 'BAEP', 'Periventricular_MRI',\n","                                                       'Cortical_MRI', 'Infratentorial_MRI', 'Spinal_Cord_MRI', \n","                                                       'group'])\n","df_imputed"]},{"cell_type":"code","execution_count":55,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.407144Z","iopub.status.busy":"2023-11-27T20:01:14.406370Z","iopub.status.idle":"2023-11-27T20:01:14.414069Z","shell.execute_reply":"2023-11-27T20:01:14.413156Z","shell.execute_reply.started":"2023-11-27T20:01:14.407113Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Schooling                  0\n","Initial_Symptom            0\n","Final_EDSS                 0\n","Initial_EDSS               0\n","Gender                     0\n","Age                        0\n","Breastfeeding              0\n","Varicella                  0\n","Mono_or_Polysymptomatic    0\n","Oligoclonal_Bands          0\n","LLSSEP                     0\n","ULSSEP                     0\n","VEP                        0\n","BAEP                       0\n","Periventricular_MRI        0\n","Cortical_MRI               0\n","Infratentorial_MRI         0\n","Spinal_Cord_MRI            0\n","group                      0\n","dtype: int64"]},"execution_count":55,"metadata":{},"output_type":"execute_result"}],"source":["df_imputed.isna().sum()"]},{"cell_type":"code","execution_count":56,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.415891Z","iopub.status.busy":"2023-11-27T20:01:14.415361Z","iopub.status.idle":"2023-11-27T20:01:14.428920Z","shell.execute_reply":"2023-11-27T20:01:14.427970Z","shell.execute_reply.started":"2023-11-27T20:01:14.415862Z"},"trusted":true},"outputs":[{"data":{"text/plain":["Schooling                  0\n","Initial_Symptom            0\n","Final_EDSS                 0\n","Initial_EDSS               0\n","Gender                     0\n","Age                        0\n","Breastfeeding              0\n","Varicella                  0\n","Mono_or_Polysymptomatic    0\n","Oligoclonal_Bands          0\n","LLSSEP                     0\n","ULSSEP                     0\n","VEP                        0\n","BAEP                       0\n","Periventricular_MRI        0\n","Cortical_MRI               0\n","Infratentorial_MRI         0\n","Spinal_Cord_MRI            0\n","group                      0\n","dtype: int64"]},"execution_count":56,"metadata":{},"output_type":"execute_result"}],"source":["df_imputed.isnull().sum()"]},{"cell_type":"code","execution_count":57,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.430595Z","iopub.status.busy":"2023-11-27T20:01:14.430283Z","iopub.status.idle":"2023-11-27T20:01:14.454613Z","shell.execute_reply":"2023-11-27T20:01:14.453788Z","shell.execute_reply.started":"2023-11-27T20:01:14.430568Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Schooling\n","[0.0]\n","Initial_Symptom\n","[]\n","Final_EDSS\n","[3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]\n","Initial_EDSS\n","[3.0, 3.0, 3.0, 3.0, 3.0, 3.0, 3.0]\n","Gender\n","[]\n","Age\n","[70.0, 77.0]\n","Breastfeeding\n","[]\n","Varicella\n","[]\n","Mono_or_Polysymptomatic\n","[]\n","Oligoclonal_Bands\n","[]\n","LLSSEP\n","[]\n","ULSSEP\n","[]\n","VEP\n","[]\n","BAEP\n","[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]\n","Periventricular_MRI\n","[]\n","Cortical_MRI\n","[]\n","Infratentorial_MRI\n","[]\n","Spinal_Cord_MRI\n","[]\n","group\n","[]\n"]}],"source":["# Outliers z_score\n","outliers = []\n","for i in df_imputed.columns:\n","    thres = 3\n","    mean = np.mean(df_imputed[i])\n","    std = np.std(df_imputed[i])\n","    for x in df_imputed[i]:\n","        z_score = (x-mean)/std\n","        if (np.abs(z_score) > thres):\n","            outliers.append(x)\n","    print(i)\n","    print(outliers)\n","    outliers.clear()"]},{"cell_type":"code","execution_count":58,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.456399Z","iopub.status.busy":"2023-11-27T20:01:14.455858Z","iopub.status.idle":"2023-11-27T20:01:14.473760Z","shell.execute_reply":"2023-11-27T20:01:14.473011Z","shell.execute_reply.started":"2023-11-27T20:01:14.456369Z"},"trusted":true},"outputs":[{"name":"stdout","output_type":"stream","text":["Schooling\n","[]\n","Initial_Symptom\n","[]\n","Final_EDSS\n","[2.0, 2.0, 2.0, 2.0, 3.0, 3.0, 2.0, 2.0, 3.0, 2.0, 3.0, 2.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 2.0, 3.0, 2.0, 2.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 2.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0]\n","Initial_EDSS\n","[2.0, 2.0, 2.0, 2.0, 3.0, 2.0, 2.0, 2.0, 3.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 3.0, 2.0, 2.0, 3.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0]\n","Gender\n","[]\n","Age\n","[65.0, 70.0, 77.0]\n","Breastfeeding\n","[]\n","Varicella\n","[]\n","Mono_or_Polysymptomatic\n","[]\n","Oligoclonal_Bands\n","[]\n","LLSSEP\n","[]\n","ULSSEP\n","[]\n","VEP\n","[]\n","BAEP\n","[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]\n","Periventricular_MRI\n","[]\n","Cortical_MRI\n","[]\n","Infratentorial_MRI\n","[]\n","Spinal_Cord_MRI\n","[]\n","group\n","[]\n"]}],"source":["# Outliers IQR\n","outliers = []\n","for i in df_imputed.columns:\n","    data = sorted(df_imputed[i])\n","    q1 = np.percentile(data, 25)\n","    q3 = np.percentile(data, 75)\n","    # print(q1, q3)\n","    IQR = q3-q1\n","    lwr_bound = q1-(1.5*IQR)\n","    upr_bound = q3+(1.5*IQR)\n","    # print(lwr_bound, upr_bound)\n","    for x in df_imputed[i]: \n","        if (x<lwr_bound or x>upr_bound):\n","            outliers.append(x)\n","    print(i)\n","    print(outliers)\n","    outliers.clear()"]},{"cell_type":"code","execution_count":59,"metadata":{"execution":{"iopub.execute_input":"2023-11-27T20:01:14.475477Z","iopub.status.busy":"2023-11-27T20:01:14.474949Z","iopub.status.idle":"2023-11-27T20:01:14.496983Z","shell.execute_reply":"2023-11-27T20:01:14.496128Z","shell.execute_reply.started":"2023-11-27T20:01:14.475449Z"},"trusted":true},"outputs":[],"source":["# Outliers IQR\n","outliers = []\n","for i in df_imputed.columns:\n","    median = np.median(df_imputed[i])\n","    data = sorted(df_imputed[i])\n","    q1 = np.percentile(data, 25)\n","    q3 = np.percentile(data, 75)\n","    # print(q1, q3)\n","    IQR = q3-q1\n","    lwr_bound = q1-(1.5*IQR)\n","    upr_bound = q3+(1.5*IQR)\n","    # print(lwr_bound, upr_bound)\n","    for x in df_imputed[i]: \n","        if (x<lwr_bound or x>upr_bound):\n","            outliers.append(x)\n","            df_imputed[i].replace([x],[median] , inplace=True)"]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]},{"cell_type":"code","execution_count":null,"metadata":{},"outputs":[],"source":[]}],"metadata":{"kaggle":{"accelerator":"none","dataSources":[{"datasetId":3281118,"sourceId":5714851,"sourceType":"datasetVersion"}],"dockerImageVersionId":30587,"isGpuEnabled":false,"isInternetEnabled":true,"language":"python","sourceType":"notebook"},"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.9.7"}},"nbformat":4,"nbformat_minor":4}