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: 0.56 seconds Time taken to test model on training data: 0.58 seconds === Error on training data === Correctly Classified Instances 26 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0357 Root mean squared error 0.0357 Relative absolute error 8.9041 % Root relative squared error 8.0462 % Total Number of Instances 26 === 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_luminal_A 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 19 0 | a = tumoral_luminal_A 0 7 | b = normal Time taken to perform cross-validation: 0.57 seconds === Stratified cross-validation === Correctly Classified Instances 26 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0518 Root mean squared error 0.0518 Relative absolute error 12.749 % Root relative squared error 11.5924 % Total Number of Instances 26 === 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_luminal_A 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 19 0 | a = tumoral_luminal_A 0 7 | b = normal