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: 2.69 seconds Time taken to test model on training data: 13.22 seconds === Error on training data === Correctly Classified Instances 151 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0106 Root mean squared error 0.0142 Relative absolute error 3.976 % Root relative squared error 3.9011 % Total Number of Instances 151 === 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 basal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 HER 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cell_line 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 luminal_A 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 luminal_B Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c d e f <-- classified as 41 0 0 0 0 0 | a = basal 0 30 0 0 0 0 | b = HER 0 0 14 0 0 0 | c = cell_line 0 0 0 7 0 0 | d = normal 0 0 0 0 29 0 | e = luminal_A 0 0 0 0 0 30 | f = luminal_B Time taken to perform cross-validation: 15.13 seconds === Stratified cross-validation === Correctly Classified Instances 121 80.1325 % Incorrectly Classified Instances 30 19.8675 % Kappa statistic 0.7529 Mean absolute error 0.0781 Root mean squared error 0.2509 Relative absolute error 29.2328 % Root relative squared error 68.6964 % Total Number of Instances 151 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,707 0,018 0,935 0,707 0,806 0,759 0,870 0,781 basal 0,900 0,091 0,711 0,900 0,794 0,744 0,910 0,689 HER 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cell_line 0,857 0,000 1,000 0,857 0,923 0,923 0,905 0,864 normal 1,000 0,123 0,659 1,000 0,795 0,760 0,934 0,642 luminal_A 0,533 0,017 0,889 0,533 0,667 0,636 0,747 0,590 luminal_B Weighted Avg. 0,801 0,050 0,837 0,801 0,797 0,762 0,879 0,722 === Confusion Matrix === a b c d e f <-- classified as 29 11 0 0 0 1 | a = basal 2 27 0 0 0 1 | b = HER 0 0 14 0 0 0 | c = cell_line 0 0 0 6 1 0 | d = normal 0 0 0 0 29 0 | e = luminal_A 0 0 0 0 14 16 | f = luminal_B