[Retracted] Implementation of a Heart Disease Risk Prediction Model Using Machine Learning

Pseudocode 3

Random forest.

import RandomForestClassifier

n_estimators=50.

Fit the model (X_train, y_train)

Predict model.predict(X_test)

Get model Score

Rate people =0

Check if len(people) >0:

Rate people = len(people)/len(output)

Get the prediction of heart disease

import confusion_matrix

Compute confusion_matrix (y_pred, y_test)

Print Accuracy