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: 0.46 seconds Time taken to test model on training data: 0.5 seconds === Error on training data === Correctly Classified Instances 31 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0303 Root mean squared error 0.0303 Relative absolute error 6.0665 % Root relative squared error 6.0638 % Total Number of Instances 31 === 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 Grade_3_reactive_stroma_prostate_cancer 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 16 0 | a = Grade_3_reactive_stroma_prostate_cancer 0 15 | b = normal Time taken to perform cross-validation: 0.5 seconds === Stratified cross-validation === Correctly Classified Instances 12 38.7097 % Incorrectly Classified Instances 19 61.2903 % Kappa statistic -0.2296 Mean absolute error 0.603 Root mean squared error 0.7489 Relative absolute error 120.6044 % Root relative squared error 149.6812 % Total Number of Instances 31 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,438 0,667 0,412 0,438 0,424 -0,230 0,363 0,447 Grade_3_reactive_stroma_prostate_cancer 0,333 0,563 0,357 0,333 0,345 -0,230 0,363 0,423 normal Weighted Avg. 0,387 0,616 0,385 0,387 0,386 -0,230 0,363 0,436 === Confusion Matrix === a b <-- classified as 7 9 | a = Grade_3_reactive_stroma_prostate_cancer 10 5 | b = normal