Research Article

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

Table 3

Comparing classification report on test data.

MethodPrecisionRecallF1-scoreSupport

Random forest0.870.850.8655
0.780.800.7935

Multilayer Perceptron0.840.840.8455
0.740.740.7435

Decision tree0.860.870.8655
0.790.770.7835

Naïve Bayes0.900.850.8855
0.790.820.8235

Logistic regression0.920.820.8755
0.760.890.8235

Boosting SVM0.940.870.9055
0.820.890.8535