diff --git a/README.md b/README.md index af0e939..0bd7203 100644 --- a/README.md +++ b/README.md @@ -16,13 +16,19 @@ After trainig and testing 6 models 3 for each datasets i select the below models #### 2.1 Fraud-IP Dataset - XGBoost Model -#### 2.2 Credit Card Dataset +![xgboost](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/model-building/xg1.png) +![xgboost2](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/model-building/xg2.png) + +#### 2.2 Credit Card Dataset - Logistic Regression with StandardScaler + +![lr1](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/model-building/lr1.png) +![lr2](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/model-building/lr2.png) ## 3. Model Explainability Using SHAP ### Summary Plot -![summeryplot](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/shap-lime/summryPlot.png) +summeryplot ### Force Plot @@ -32,10 +38,21 @@ After trainig and testing 6 models 3 for each datasets i select the below models ### Running the flask app +![runflask](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/api-docker/run-flask.png) + ### Testing the api +![testflask](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/api-docker/test-flask.png +png) + ### Testing the api from Postman +![postman](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/api-docker/postman.png) + ### Building Docker Image +![build](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/api-docker/build-docker-image.png) + ### Running Docker Container + +![runflask](https://github.com/Daniel-Andarge/AiML-financial-fraud-detection-model/blob/main/assets/api-docker/docker-run.png)