Options: -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 === Classifier model (full training set) === RandomForest Bagging with 100 iterations and base learner weka.classifiers.trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 -do-not-check-capabilities Time taken to build model: 5.75 seconds Time taken to test model on training data: 1.92 seconds === Error on training data === Correctly Classified Instances 151 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0563 Root mean squared error 0.0865 Relative absolute error 21.0998 % Root relative squared error 23.6914 % Total Number of Instances 151 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 basal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 HER 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cell_line 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 luminal_A 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 luminal_B Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c d e f <-- classified as 41 0 0 0 0 0 | a = basal 0 30 0 0 0 0 | b = HER 0 0 14 0 0 0 | c = cell_line 0 0 0 7 0 0 | d = normal 0 0 0 0 29 0 | e = luminal_A 0 0 0 0 0 30 | f = luminal_B Time taken to perform cross-validation: 16.78 seconds === Stratified cross-validation === Correctly Classified Instances 144 95.3642 % Incorrectly Classified Instances 7 4.6358 % Kappa statistic 0.9419 Mean absolute error 0.1636 Root mean squared error 0.2402 Relative absolute error 61.2236 % Root relative squared error 65.7787 % Total Number of Instances 151 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,976 0,027 0,930 0,976 0,952 0,935 0,990 0,933 basal 0,900 0,017 0,931 0,900 0,915 0,895 0,980 0,953 HER 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cell_line 0,857 0,000 1,000 0,857 0,923 0,923 1,000 1,000 normal 0,966 0,008 0,966 0,966 0,966 0,957 0,996 0,988 luminal_A 0,967 0,008 0,967 0,967 0,967 0,958 0,986 0,909 luminal_B Weighted Avg. 0,954 0,014 0,954 0,954 0,953 0,941 0,990 0,952 === Confusion Matrix === a b c d e f <-- classified as 40 1 0 0 0 0 | a = basal 3 27 0 0 0 0 | b = HER 0 0 14 0 0 0 | c = cell_line 0 0 0 6 1 0 | d = normal 0 0 0 0 28 1 | e = luminal_A 0 1 0 0 0 29 | f = luminal_B