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: 0.6 seconds Time taken to test model on training data: 0.87 seconds === Error on training data === Correctly Classified Instances 43 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0222 Root mean squared error 0.0222 Relative absolute error 5.2248 % Root relative squared error 4.8378 % Total Number of Instances 43 === 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 triple_negative_breast_cancer 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 30 0 | a = triple_negative_breast_cancer 0 13 | b = normal Time taken to perform cross-validation: 1.02 seconds === Stratified cross-validation === Correctly Classified Instances 38 88.3721 % Incorrectly Classified Instances 5 11.6279 % Kappa statistic 0.7413 Mean absolute error 0.1413 Root mean squared error 0.3312 Relative absolute error 33.0641 % Root relative squared error 71.9856 % Total Number of Instances 43 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,867 0,077 0,963 0,867 0,912 0,750 0,906 0,932 triple_negative_breast_cancer 0,923 0,133 0,750 0,923 0,828 0,750 0,906 0,783 normal Weighted Avg. 0,884 0,094 0,899 0,884 0,887 0,750 0,906 0,887 === Confusion Matrix === a b <-- classified as 26 4 | a = triple_negative_breast_cancer 1 12 | b = normal