Options: -C 0.25 -M 2 === Classifier model (full training set) === J48 pruned tree ------------------ NM_001004317 <= 4.727823 | NM_021963 <= 4.410058: JMML_LIN28_low (18.0) | NM_021963 > 4.410058: normal (6.0) NM_001004317 > 4.727823: JMML_LIN28_high (21.0/1.0) Number of Leaves : 3 Size of the tree : 5 Time taken to build model: 0.79 seconds Time taken to test model on training data: 0.54 seconds === Error on training data === Correctly Classified Instances 44 97.7778 % Incorrectly Classified Instances 1 2.2222 % Kappa statistic 0.9639 Mean absolute error 0.0212 Root mean squared error 0.1029 Relative absolute error 6.6714 % Root relative squared error 26.0233 % Total Number of Instances 45 === 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 JMML_LIN28_low 1,000 0,040 0,952 1,000 0,976 0,956 0,980 0,952 JMML_LIN28_high 0,000 0,000 ? 0,000 ? ? 0,773 0,048 MML_LIN28_high 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 0,978 0,018 ? 0,978 ? ? 0,986 0,958 === Confusion Matrix === a b c d <-- classified as 18 0 0 0 | a = JMML_LIN28_low 0 20 0 0 | b = JMML_LIN28_high 0 1 0 0 | c = MML_LIN28_high 0 0 0 6 | d = normal Time taken to perform cross-validation: 1.64 seconds === Stratified cross-validation === Correctly Classified Instances 32 71.1111 % Incorrectly Classified Instances 13 28.8889 % Kappa statistic 0.5248 Mean absolute error 0.1556 Root mean squared error 0.3811 Relative absolute error 48.621 % Root relative squared error 96.1762 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,667 0,222 0,667 0,667 0,667 0,444 0,722 0,578 JMML_LIN28_low 1,000 0,080 0,909 1,000 0,952 0,915 0,932 0,861 JMML_LIN28_high 0,000 0,000 ? 0,000 ? ? 0,341 0,022 MML_LIN28_high 0,000 0,128 0,000 0,000 0,000 -0,139 0,436 0,133 normal Weighted Avg. 0,711 0,142 ? 0,711 ? ? 0,769 0,632 === Confusion Matrix === a b c d <-- classified as 12 1 0 5 | a = JMML_LIN28_low 0 20 0 0 | b = JMML_LIN28_high 0 1 0 0 | c = MML_LIN28_high 6 0 0 0 | d = normal