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: 2.37 seconds Time taken to test model on training data: 11.7 seconds === Error on training data === Correctly Classified Instances 357 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0028 Root mean squared error 0.0028 Relative absolute error 0.5572 % Root relative squared error 0.5572 % Total Number of Instances 357 === 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 HCC 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 181 0 | a = HCC 0 176 | b = normal Time taken to perform cross-validation: 14.6 seconds === Stratified cross-validation === Correctly Classified Instances 333 93.2773 % Incorrectly Classified Instances 24 6.7227 % Kappa statistic 0.8657 Mean absolute error 0.0708 Root mean squared error 0.2582 Relative absolute error 14.169 % Root relative squared error 51.6496 % Total Number of Instances 357 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,884 0,017 0,982 0,884 0,930 0,870 0,933 0,927 HCC 0,983 0,116 0,892 0,983 0,935 0,870 0,933 0,885 normal Weighted Avg. 0,933 0,066 0,937 0,933 0,933 0,870 0,933 0,906 === Confusion Matrix === a b <-- classified as 160 21 | a = HCC 3 173 | b = normal