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: 0.63 seconds Time taken to test model on training data: 1 seconds === Error on training data === Correctly Classified Instances 65 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0149 Root mean squared error 0.0149 Relative absolute error 2.9858 % Root relative squared error 2.9854 % Total Number of Instances 65 === 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 adenocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 0 33 | b = adenocarcinoma Time taken to perform cross-validation: 1.26 seconds === Stratified cross-validation === Correctly Classified Instances 38 58.4615 % Incorrectly Classified Instances 27 41.5385 % Kappa statistic 0.1702 Mean absolute error 0.4191 Root mean squared error 0.6305 Relative absolute error 83.8187 % Root relative squared error 126.0764 % Total Number of Instances 65 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,625 0,455 0,571 0,625 0,597 0,171 0,611 0,566 normal 0,545 0,375 0,600 0,545 0,571 0,171 0,611 0,589 adenocarcinoma Weighted Avg. 0,585 0,414 0,586 0,585 0,584 0,171 0,611 0,578 === Confusion Matrix === a b <-- classified as 20 12 | a = normal 15 18 | b = adenocarcinoma