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: 2.01 seconds Time taken to test model on training data: 0.55 seconds === Error on training data === Correctly Classified Instances 105 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1052 Root mean squared error 0.1264 Relative absolute error 21.0495 % Root relative squared error 25.2896 % Total Number of Instances 105 === 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 53 0 | a = normal 0 52 | b = tumoral Time taken to perform cross-validation: 5.56 seconds === Stratified cross-validation === Correctly Classified Instances 86 81.9048 % Incorrectly Classified Instances 19 18.0952 % Kappa statistic 0.6381 Mean absolute error 0.3328 Root mean squared error 0.386 Relative absolute error 66.5348 % Root relative squared error 77.1658 % Total Number of Instances 105 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,811 0,173 0,827 0,811 0,819 0,638 0,871 0,858 normal 0,827 0,189 0,811 0,827 0,819 0,638 0,871 0,856 tumoral Weighted Avg. 0,819 0,181 0,819 0,819 0,819 0,638 0,871 0,857 === Confusion Matrix === a b <-- classified as 43 10 | a = normal 9 43 | b = tumoral