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: 3.8 seconds Time taken to test model on training data: 0.22 seconds === Error on training data === Correctly Classified Instances 17 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.1441 Root mean squared error 0.1535 Relative absolute error 29.6497 % Root relative squared error 31.1895 % Total Number of Instances 17 === 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 tumoral 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 10 0 | a = tumoral 0 7 | b = normal Time taken to perform cross-validation: 10.46 seconds === Stratified cross-validation === Correctly Classified Instances 11 64.7059 % Incorrectly Classified Instances 6 35.2941 % Kappa statistic 0.1639 Mean absolute error 0.4147 Root mean squared error 0.4369 Relative absolute error 84.4145 % Root relative squared error 87.7367 % Total Number of Instances 17 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,857 0,625 1,000 0,769 0,299 0,921 0,931 tumoral 0,143 0,000 1,000 0,143 0,250 0,299 0,921 0,934 normal Weighted Avg. 0,647 0,504 0,779 0,647 0,555 0,299 0,921 0,932 === Confusion Matrix === a b <-- classified as 10 0 | a = tumoral 6 1 | b = normal