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: 0.45 seconds Time taken to test model on training data: 0.54 seconds === Error on training data === Correctly Classified Instances 35 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.027 Root mean squared error 0.027 Relative absolute error 5.4096 % Root relative squared error 5.4076 % Total Number of Instances 35 === 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 NSCLC Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 17 0 | a = normal 0 18 | b = NSCLC Time taken to perform cross-validation: 0.53 seconds === Stratified cross-validation === Correctly Classified Instances 33 94.2857 % Incorrectly Classified Instances 2 5.7143 % Kappa statistic 0.886 Mean absolute error 0.0921 Root mean squared error 0.2327 Relative absolute error 18.4176 % Root relative squared error 46.5077 % Total Number of Instances 35 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,111 0,895 1,000 0,944 0,892 0,961 0,926 normal 0,889 0,000 1,000 0,889 0,941 0,892 0,961 0,956 NSCLC Weighted Avg. 0,943 0,054 0,949 0,943 0,943 0,892 0,961 0,941 === Confusion Matrix === a b <-- classified as 17 0 | a = normal 2 16 | b = NSCLC