Time taken to test model on training data: 0.73 seconds === Error on training data === Correctly Classified Instances 45 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.25 Root mean squared error 0.3118 Relative absolute error 78.8063 % Root relative squared error 78.8788 % 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 0,000 1,000 1,000 1,000 1,000 1,000 1,000 JMML_LIN28_high 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 MML_LIN28_high 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 c d <-- classified as 18 0 0 0 | a = JMML_LIN28_low 0 20 0 0 | b = JMML_LIN28_high 0 0 1 0 | c = MML_LIN28_high 0 0 0 6 | d = normal Time taken to perform cross-validation: 1.44 seconds === Stratified cross-validation === Correctly Classified Instances 26 57.7778 % Incorrectly Classified Instances 19 42.2222 % Kappa statistic 0.2881 Mean absolute error 0.2944 Root mean squared error 0.376 Relative absolute error 92.0327 % Root relative squared error 94.8828 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,500 0,296 0,529 0,500 0,514 0,206 0,646 0,497 JMML_LIN28_low 0,700 0,440 0,560 0,700 0,622 0,260 0,628 0,527 JMML_LIN28_high 0,000 0,000 ? 0,000 ? ? 0,398 0,022 MML_LIN28_high 0,500 0,000 1,000 0,500 0,667 0,681 0,904 0,694 normal Weighted Avg. 0,578 0,314 ? 0,578 ? ? 0,667 0,526 === Confusion Matrix === a b c d <-- classified as 9 9 0 0 | a = JMML_LIN28_low 6 14 0 0 | b = JMML_LIN28_high 0 1 0 0 | c = MML_LIN28_high 2 1 0 3 | d = normal