Performance Evaluation of Machine Learning Techniques (MLT) for Heart Disease Prediction

Table 2

Comparison with the existing system.

Authors	Techniques used	Dataset	Accuracy
Chauhan et al. [24]	RF, LR, SVM	PIDD data set	78%
Pouriyeh et al. [25]	KNN, SVM, RF, NB	Cleveland data	89%
Kedia et al. [26]	LR, KNN, SVM, DT	UCI data	90%
Atallah et al. [27]	SVM, DT KNN, RF	Cleveland data	87%
Proposed method	LR, KNN, SVM, NB, DT, RF	Cleveland Heart from UCI’s machine learning	99.04%