Options: -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last"" === Classifier model (full training set) === IB1 instance-based classifier using 1 nearest neighbour(s) for classification Time taken to build model: 0.99 seconds Time taken to test model on training data: 1.34 seconds === Error on training data === Correctly Classified Instances 46 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0208 Root mean squared error 0.0208 Relative absolute error 6.4607 % Root relative squared error 5.249 % Total Number of Instances 46 === 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 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 37 0 | a = JMML 0 9 | b = normal Time taken to perform cross-validation: 1.64 seconds === Stratified cross-validation === Correctly Classified Instances 40 86.9565 % Incorrectly Classified Instances 6 13.0435 % Kappa statistic 0.6177 Mean absolute error 0.1531 Root mean squared error 0.3513 Relative absolute error 46.9267 % Root relative squared error 88.4336 % Total Number of Instances 46 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,892 0,222 0,943 0,892 0,917 0,623 0,847 0,937 JMML 0,778 0,108 0,636 0,778 0,700 0,623 0,847 0,547 normal Weighted Avg. 0,870 0,200 0,883 0,870 0,874 0,623 0,847 0,861 === Confusion Matrix === a b <-- classified as 33 4 | a = JMML 2 7 | b = normal