Stroke-Prediction

Introduction

• Link dataset: Link Kaggle

• Context :According to the WHO stroke is the 2nd leading cause of death globally, responsible for approximately 11% of total deaths.

• Objetive: Objetive is predict whether a patient is likely to get stroke based on the input parameters like gender, age, various diseases, and smoking status.

Data Preprocessing

• Check and fill Null Values

• Remove outlier

• Group some Numerical Data into bins and assigning each data point to the corresponding bin based on its value.

Result

Model: Naives Bayes

Precision	Recall	F1 Score	Accuracy
12%	74%	21%	74%