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: 1.48 seconds Time taken to test model on training data: 4.44 seconds === Error on training data === Correctly Classified Instances 139 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0071 Root mean squared error 0.0071 Relative absolute error 5.1122 % Root relative squared error 2.744 % Total Number of Instances 139 === 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 primary_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 129 0 | a = primary_breast_cancer 0 10 | b = normal Time taken to perform cross-validation: 5.33 seconds === Stratified cross-validation === Correctly Classified Instances 137 98.5612 % Incorrectly Classified Instances 2 1.4388 % Kappa statistic 0.9013 Mean absolute error 0.0246 Root mean squared error 0.1191 Relative absolute error 17.4423 % Root relative squared error 46.0426 % Total Number of Instances 139 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,984 0,000 1,000 0,984 0,992 0,906 0,997 1,000 primary_breast_cancer 1,000 0,016 0,833 1,000 0,909 0,906 0,997 0,933 normal Weighted Avg. 0,986 0,001 0,988 0,986 0,986 0,906 0,997 0,995 === Confusion Matrix === a b <-- classified as 127 2 | a = primary_breast_cancer 0 10 | b = normal