Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ 228646_at <= 3.68443: tumoral (13.0/1.0) 228646_at > 3.68443: normal (11.0) Number of Leaves : 2 Size of the tree : 3 Time taken to build model: 0.52 seconds Time taken to test model on training data: 0.34 seconds === Error on training data === Correctly Classified Instances 23 95.8333 % Incorrectly Classified Instances 1 4.1667 % Kappa statistic 0.9167 Mean absolute error 0.0769 Root mean squared error 0.1961 Relative absolute error 15.3846 % Root relative squared error 39.2232 % Total Number of Instances 24 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,917 0,000 1,000 0,917 0,957 0,920 0,958 0,958 normal 1,000 0,083 0,923 1,000 0,960 0,920 0,958 0,923 tumoral Weighted Avg. 0,958 0,042 0,962 0,958 0,958 0,920 0,958 0,941 === Confusion Matrix === a b <-- classified as 11 1 | a = normal 0 12 | b = tumoral Time taken to perform cross-validation: 0.7 seconds === Stratified cross-validation === Correctly Classified Instances 16 66.6667 % Incorrectly Classified Instances 8 33.3333 % Kappa statistic 0.3333 Mean absolute error 0.3333 Root mean squared error 0.5774 Relative absolute error 66.6667 % Root relative squared error 115.4701 % Total Number of Instances 24 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,667 0,333 0,667 0,667 0,667 0,333 0,667 0,611 normal 0,667 0,333 0,667 0,667 0,667 0,333 0,667 0,611 tumoral Weighted Avg. 0,667 0,333 0,667 0,667 0,667 0,333 0,667 0,611 === Confusion Matrix === a b <-- classified as 8 4 | a = normal 4 8 | b = tumoral