Superiority of Classification Tree versus Cluster, Fuzzy and Discriminant Models in a Heartbeat Classification System
Fig 7
Training process of SDA: influence of the number of features entered in the model.
The trend of Se, PPV, Mean(Se,PPV) is reported for different settings of the prior probabilities of SVB vs. VB-class: 50%/50% and 70/30%. The optimal iteration step is defined for 134 features (50%/50%, ‘○’ mark) and 142 features (30%/70%, ‘*’ mark).