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: 0.47 seconds Time taken to test model on training data: 0.64 seconds === Error on training data === Correctly Classified Instances 51 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0189 Root mean squared error 0.0189 Relative absolute error 3.7862 % Root relative squared error 3.7801 % Total Number of Instances 51 === 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 27 0 | a = normal 0 24 | b = adenocarcinoma Time taken to perform cross-validation: 0.77 seconds === Stratified cross-validation === Correctly Classified Instances 44 86.2745 % Incorrectly Classified Instances 7 13.7255 % Kappa statistic 0.7226 Mean absolute error 0.1574 Root mean squared error 0.3611 Relative absolute error 31.5847 % Root relative squared error 72.3471 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,926 0,208 0,833 0,926 0,877 0,728 0,859 0,811 normal 0,792 0,074 0,905 0,792 0,844 0,728 0,859 0,814 adenocarcinoma Weighted Avg. 0,863 0,145 0,867 0,863 0,862 0,728 0,859 0,812 === Confusion Matrix === a b <-- classified as 25 2 | a = normal 5 19 | b = adenocarcinoma