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: 0.65 seconds Time taken to test model on training data: 1 seconds === Error on training data === Correctly Classified Instances 124 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0079 Root mean squared error 0.0079 Relative absolute error 1.5873 % Root relative squared error 1.5873 % Total Number of Instances 124 === 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 primary_prostate_tumor 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 62 0 | a = primary_prostate_tumor 0 62 | b = normal Time taken to perform cross-validation: 1.11 seconds === Stratified cross-validation === Correctly Classified Instances 72 58.0645 % Incorrectly Classified Instances 52 41.9355 % Kappa statistic 0.1613 Mean absolute error 0.4213 Root mean squared error 0.64 Relative absolute error 84.2358 % Root relative squared error 127.9678 % Total Number of Instances 124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,581 0,419 0,581 0,581 0,581 0,161 0,584 0,555 primary_prostate_tumor 0,581 0,419 0,581 0,581 0,581 0,161 0,584 0,555 normal Weighted Avg. 0,581 0,419 0,581 0,581 0,581 0,161 0,584 0,555 === Confusion Matrix === a b <-- classified as 36 26 | a = primary_prostate_tumor 26 36 | b = normal