Skip to main content

Table 3 Performance evaluation for stacking classifiers (two-level classification)

From: Predictis: an IoT and machine learning-based system to predict risk level of cardio-vascular diseases

Stacking classifiers

Precision

Recall

F1 score

KNN, XGB, ADA

0.888

0.890

0.889

KNN, XBG, SVM

0.878

0.878

0.878

KNN, XGB, MLPC

0.910

0.910

0.910

KNN, XGB, MLPC, ADA

0.871

0.875

0.873

XGB, MLPC, ADA, SVM

0.882

0.886

0.884

KNN, XGB, MLPC, ADA, SVM

0.872

0.873

0.872