This script is about building classification models using sklearn library.

• Building models

• Evaluation

• Visualization of scores

• Cross validation

Disclaimer: The dataset has minor modifications to protect its confidentiality.

Description: You are given a dataset of patients to be tested for heart disease. Features are given below.

• age

• sex – Male, Female

• cp - chest pain type (4 values)

• trestbps - resting blood pressure

• chol - serum cholestoral in mg/dl

• fbs - fasting blood sugar > 120 mg/dl

• restecg - resting electrocardiographic results, values: 0,1,2

• thalach - maximum heart rate achieved

• exang - exercise induced angina

• oldpeak - ST depression induced by exercise relative to rest

• slope - the slope of the peak exercise ST segment

• ca - number of major vessels colored by flourosopy, values: 0,1,2,3,4

• thal - values: 0,1,2,3

• target – is the column we want to predict.