Fig. 2From: Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysisPerformance of the machines trained by using the reduced features extracted from the PCA algorithm. a The diagrams show averages of Accuracy, Specificity, Sensitivity and Precision criteria in 14 machine training cycles. b The diagrams show averages of TP, TN, FP, FN, MCC and F1 Scores in 14 machine training cycles. c The box plots show performances of the six proposed machines based on accuracy, sensitivity, specificity and precision criteriaBack to article page