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: 1.83 seconds Time taken to test model on training data: 4.46 seconds === Error on training data === Correctly Classified Instances 115 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0126 Root mean squared error 0.0146 Relative absolute error 3.6266 % Root relative squared error 3.4961 % Total Number of Instances 115 === 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 breast_cancer_mixed 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 breast_cancer_dcis 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 breast_cancer_idc 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 c d <-- classified as 42 0 0 0 | a = breast_cancer_mixed 0 31 0 0 | b = breast_cancer_dcis 0 0 36 0 | c = breast_cancer_idc 0 0 0 6 | d = normal Time taken to perform cross-validation: 5.33 seconds === Stratified cross-validation === Correctly Classified Instances 29 25.2174 % Incorrectly Classified Instances 86 74.7826 % Kappa statistic -0.0634 Mean absolute error 0.374 Root mean squared error 0.5965 Relative absolute error 107.4451 % Root relative squared error 143.2593 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,333 0,425 0,311 0,333 0,322 -0,090 0,447 0,341 breast_cancer_mixed 0,161 0,310 0,161 0,161 0,161 -0,148 0,438 0,243 breast_cancer_dcis 0,222 0,253 0,286 0,222 0,250 -0,033 0,513 0,327 breast_cancer_idc 0,333 0,083 0,182 0,333 0,235 0,190 0,521 0,095 normal Weighted Avg. 0,252 0,322 0,256 0,252 0,252 -0,073 0,469 0,297 === Confusion Matrix === a b c d <-- classified as 14 13 12 3 | a = breast_cancer_mixed 14 5 8 4 | b = breast_cancer_dcis 14 12 8 2 | c = breast_cancer_idc 3 1 0 2 | d = normal