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: 0.98 seconds Time taken to test model on training data: 1.52 seconds === Error on training data === Correctly Classified Instances 45 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0278 Root mean squared error 0.0295 Relative absolute error 6.7365 % Root relative squared error 6.5045 % Total Number of Instances 45 === 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_basal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_non_BLC 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_breast Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c <-- classified as 17 0 0 | a = tumoral_basal 0 21 0 | b = tumoral_non_BLC 0 0 7 | c = normal_breast Time taken to perform cross-validation: 1.54 seconds === Stratified cross-validation === Correctly Classified Instances 36 80 % Incorrectly Classified Instances 9 20 % Kappa statistic 0.6806 Mean absolute error 0.1616 Root mean squared error 0.3508 Relative absolute error 39.0456 % Root relative squared error 77.2907 % Total Number of Instances 45 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,647 0,036 0,917 0,647 0,759 0,670 0,806 0,726 tumoral_basal 0,857 0,208 0,783 0,857 0,818 0,648 0,824 0,737 tumoral_non_BLC 1,000 0,079 0,700 1,000 0,824 0,803 0,961 0,700 normal_breast Weighted Avg. 0,800 0,123 0,820 0,800 0,797 0,680 0,839 0,727 === Confusion Matrix === a b c <-- classified as 11 5 1 | a = tumoral_basal 1 18 2 | b = tumoral_non_BLC 0 0 7 | c = normal_breast