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

Pseudocode 1

LightGBM.

import lightgbm

Assign d_train from lgb.Dataset with X_train & label = y_train

clf = lgb.train with categorical_feature=auto

Prediction y_pred = clf. predict(X_test)

convert into binary values for i range(0, len(y_pred))

setting threshold if y_pred[i]>=0.46:

import and print confusion matrix

print Accuracy