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

Pseudocode 2

XGBoost.

import train & test_split

import XGBClassifier

xg.predict(X_test)

setting threshold if y_pred_train[i]>=0.5:

y_pred_train[i]=1

else:

y_pred_train[i]=0

import confusion_matrix

Compute confusion_matrix (y_pred, y_test)

Print Accuracy