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: 0.53 seconds Time taken to test model on training data: 0.67 seconds === Error on training data === Correctly Classified Instances 48 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.02 Root mean squared error 0.02 Relative absolute error 4 % Root relative squared error 4 % Total Number of Instances 48 === 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 heptocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 24 0 | a = normal 0 24 | b = heptocarcinoma Time taken to perform cross-validation: 0.68 seconds === Stratified cross-validation === Correctly Classified Instances 35 72.9167 % Incorrectly Classified Instances 13 27.0833 % Kappa statistic 0.4583 Mean absolute error 0.2843 Root mean squared error 0.5057 Relative absolute error 56.8627 % Root relative squared error 101.1468 % Total Number of Instances 48 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,875 0,417 0,677 0,875 0,764 0,479 0,729 0,655 normal 0,583 0,125 0,824 0,583 0,683 0,479 0,729 0,689 heptocarcinoma Weighted Avg. 0,729 0,271 0,750 0,729 0,723 0,479 0,729 0,672 === Confusion Matrix === a b <-- classified as 21 3 | a = normal 10 14 | b = heptocarcinoma