Figure 2
From: Enhancing cardiotocography classification via ensemble learning and threshold optimization

The second dataset’s experimental results include confusion matrix outputs from (a) the RF classifier, (b) the PRF classifier, and (c) the proposed method. Each column represents instances of one class. The RF and PRF incorrectly classified all 12 ‘Pathological’ cases. The proposed method has a 75% accuracy on the ‘Pathological’ case.