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: 0.44 seconds Time taken to test model on training data: 0.46 seconds === Error on training data === Correctly Classified Instances 41 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0233 Root mean squared error 0.0233 Relative absolute error 4.675 % Root relative squared error 4.6636 % Total Number of Instances 41 === 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 22 0 | a = HCC 0 19 | b = normal Time taken to perform cross-validation: 0.47 seconds === Stratified cross-validation === Correctly Classified Instances 36 87.8049 % Incorrectly Classified Instances 5 12.1951 % Kappa statistic 0.7591 Mean absolute error 0.1477 Root mean squared error 0.3388 Relative absolute error 29.6411 % Root relative squared error 67.7917 % Total Number of Instances 41 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,773 0,000 1,000 0,773 0,872 0,782 0,900 0,909 HCC 1,000 0,227 0,792 1,000 0,884 0,782 0,900 0,812 normal Weighted Avg. 0,878 0,105 0,903 0,878 0,877 0,782 0,900 0,864 === Confusion Matrix === a b <-- classified as 17 5 | a = HCC 0 19 | b = normal