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: 0.97 seconds Time taken to test model on training data: 1.59 seconds === Error on training data === Correctly Classified Instances 51 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0189 Root mean squared error 0.0189 Relative absolute error 4.5093 % Root relative squared error 4.1403 % Total Number of Instances 51 === 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 tumoral 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 36 0 | a = tumoral 0 15 | b = normal Time taken to perform cross-validation: 1.85 seconds === Stratified cross-validation === Correctly Classified Instances 39 76.4706 % Incorrectly Classified Instances 12 23.5294 % Kappa statistic 0.3855 Mean absolute error 0.25 Root mean squared error 0.4722 Relative absolute error 59.5331 % Root relative squared error 103.6055 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,889 0,533 0,800 0,889 0,842 0,394 0,678 0,790 tumoral 0,467 0,111 0,636 0,467 0,538 0,394 0,678 0,454 normal Weighted Avg. 0,765 0,409 0,752 0,765 0,753 0,394 0,678 0,691 === Confusion Matrix === a b <-- classified as 32 4 | a = tumoral 8 7 | b = normal