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%