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: 0.55 seconds Time taken to test model on training data: 0.39 seconds === Error on training data === Correctly Classified Instances 17 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0526 Root mean squared error 0.0526 Relative absolute error 10.828 % Root relative squared error 10.6922 % Total Number of Instances 17 === 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 10 0 | a = tumoral 0 7 | b = normal Time taken to perform cross-validation: 0.46 seconds === Stratified cross-validation === Correctly Classified Instances 12 70.5882 % Incorrectly Classified Instances 5 29.4118 % Kappa statistic 0.4056 Mean absolute error 0.3242 Root mean squared error 0.5045 Relative absolute error 65.9868 % Root relative squared error 101.3122 % Total Number of Instances 17 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,700 0,286 0,778 0,700 0,737 0,408 0,793 0,811 tumoral 0,714 0,300 0,625 0,714 0,667 0,408 0,793 0,696 normal Weighted Avg. 0,706 0,292 0,715 0,706 0,708 0,408 0,793 0,764 === Confusion Matrix === a b <-- classified as 7 3 | a = tumoral 2 5 | b = normal