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: 1.83 seconds Time taken to test model on training data: 5.04 seconds === Error on training data === Correctly Classified Instances 103 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0095 Root mean squared error 0.0095 Relative absolute error 2.3436 % Root relative squared error 2.1175 % Total Number of Instances 103 === 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 oral_cavity_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 74 0 | a = oral_cavity_cancer 0 29 | b = normal Time taken to perform cross-validation: 5.08 seconds === Stratified cross-validation === Correctly Classified Instances 92 89.3204 % Incorrectly Classified Instances 11 10.6796 % Kappa statistic 0.7492 Mean absolute error 0.1179 Root mean squared error 0.3225 Relative absolute error 28.947 % Root relative squared error 71.6565 % Total Number of Instances 103 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,892 0,103 0,957 0,892 0,923 0,754 0,910 0,955 oral_cavity_cancer 0,897 0,108 0,765 0,897 0,825 0,754 0,910 0,694 normal Weighted Avg. 0,893 0,105 0,903 0,893 0,896 0,754 0,910 0,881 === Confusion Matrix === a b <-- classified as 66 8 | a = oral_cavity_cancer 3 26 | b = normal