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: 0.92 seconds Time taken to test model on training data: 1.17 seconds === Error on training data === Correctly Classified Instances 40 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0238 Root mean squared error 0.0238 Relative absolute error 6.689 % Root relative squared error 5.699 % Total Number of Instances 40 === 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 nasopharyngeal_carcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal 0 31 | b = nasopharyngeal_carcinoma Time taken to perform cross-validation: 1.23 seconds === Stratified cross-validation === Correctly Classified Instances 37 92.5 % Incorrectly Classified Instances 3 7.5 % Kappa statistic 0.8077 Mean absolute error 0.1046 Root mean squared error 0.2662 Relative absolute error 29.0853 % Root relative squared error 63.6643 % Total Number of Instances 40 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,097 0,750 1,000 0,857 0,823 0,984 0,917 normal 0,903 0,000 1,000 0,903 0,949 0,823 0,984 0,991 nasopharyngeal_carcinoma Weighted Avg. 0,925 0,022 0,944 0,925 0,928 0,823 0,984 0,975 === Confusion Matrix === a b <-- classified as 9 0 | a = normal 3 28 | b = nasopharyngeal_carcinoma