Computer-Aided Diagnostics of Heart Disease Risk Prediction Using Boosting Support Vector Machine

Table 1

Comparative performance of the training and testing accuracies of methods.

Method	Accuracy
	Training (%)	Testing (%)	Testing time (s)
Random forest	100	83.33	3.0
Multilayer Perceptron	75.36	80.0	5.8
Decision tree	92.15	83.33	4.0
Naïve Bayes	82.13	85.5	3.2
Logistic regression	84.06	84.44	4.5
Boosting SVM	99.92	99.75	2.1