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Left, AdaBoost classifier confusion matrix of the active peptides (class 1) shows that there are 46 TP and 44 TN were predicted correctly. However, the algorithm predicted 16 FN and 15 FP. Right, Random Forest classifier confusion matrix of the active peptides (class 1) shows that there are 39 TP, and 51 TN were predicted correctly. However, the algorithm predicted 23 FN and 8 FP.
