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: 0.53 seconds Time taken to test model on training data: 0.95 seconds === Error on training data === Correctly Classified Instances 115 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0085 Root mean squared error 0.0085 Relative absolute error 1.7105 % Root relative squared error 1.71 % Total Number of Instances 115 === 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 59 0 | a = primary_prostate_tumor 0 56 | b = normal Time taken to perform cross-validation: 1.07 seconds === Stratified cross-validation === Correctly Classified Instances 63 54.7826 % Incorrectly Classified Instances 52 45.2174 % Kappa statistic 0.0942 Mean absolute error 0.4534 Root mean squared error 0.664 Relative absolute error 90.718 % Root relative squared error 132.8 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,576 0,482 0,557 0,576 0,567 0,094 0,551 0,545 primary_prostate_tumor 0,518 0,424 0,537 0,518 0,527 0,094 0,551 0,519 normal Weighted Avg. 0,548 0,454 0,547 0,548 0,547 0,094 0,551 0,532 === Confusion Matrix === a b <-- classified as 34 25 | a = primary_prostate_tumor 27 29 | b = normal