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: 1.76 seconds Time taken to test model on training data: 0.28 seconds === Error on training data === Correctly Classified Instances 52 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0612 Root mean squared error 0.083 Relative absolute error 18 % Root relative squared error 20.3268 % Total Number of Instances 52 === 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 CLL 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_B_Cell Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 41 0 | a = CLL 0 11 | b = normal_B_Cell Time taken to perform cross-validation: 4.83 seconds === Stratified cross-validation === Correctly Classified Instances 48 92.3077 % Incorrectly Classified Instances 4 7.6923 % Kappa statistic 0.734 Mean absolute error 0.2069 Root mean squared error 0.2646 Relative absolute error 60.3009 % Root relative squared error 64.6174 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,364 0,911 1,000 0,953 0,761 0,991 0,997 CLL 0,636 0,000 1,000 0,636 0,778 0,761 0,991 0,972 normal_B_Cell Weighted Avg. 0,923 0,287 0,930 0,923 0,916 0,761 0,991 0,992 === Confusion Matrix === a b <-- classified as 41 0 | a = CLL 4 7 | b = normal_B_Cell