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: 1.22 seconds Time taken to test model on training data: 3.18 seconds === Error on training data === Correctly Classified Instances 101 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0097 Root mean squared error 0.0097 Relative absolute error 1.9646 % Root relative squared error 1.9534 % Total Number of Instances 101 === 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 DCIS 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 IBC Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 45 0 | a = DCIS 0 56 | b = IBC Time taken to perform cross-validation: 3.63 seconds === Stratified cross-validation === Correctly Classified Instances 74 73.2673 % Incorrectly Classified Instances 27 26.7327 % Kappa statistic 0.4624 Mean absolute error 0.274 Root mean squared error 0.5097 Relative absolute error 55.4409 % Root relative squared error 102.5447 % Total Number of Instances 101 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,733 0,268 0,688 0,733 0,710 0,463 0,736 0,656 DCIS 0,732 0,267 0,774 0,732 0,752 0,463 0,736 0,712 IBC Weighted Avg. 0,733 0,267 0,735 0,733 0,733 0,463 0,736 0,687 === Confusion Matrix === a b <-- classified as 33 12 | a = DCIS 15 41 | b = IBC