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: 0.55 seconds Time taken to test model on training data: 0.7 seconds === Error on training data === Correctly Classified Instances 52 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0178 Root mean squared error 0.018 Relative absolute error 3.5639 % Root relative squared error 3.5967 % Total Number of Instances 52 === 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 adenocarcinoma 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 26 0 | a = adenocarcinoma 0 26 | b = normal Time taken to perform cross-validation: 0.74 seconds === Stratified cross-validation === Correctly Classified Instances 46 88.4615 % Incorrectly Classified Instances 6 11.5385 % Kappa statistic 0.7692 Mean absolute error 0.1364 Root mean squared error 0.3315 Relative absolute error 27.2528 % Root relative squared error 66.2067 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,846 0,077 0,917 0,846 0,880 0,772 0,864 0,837 adenocarcinoma 0,923 0,154 0,857 0,923 0,889 0,772 0,864 0,816 normal Weighted Avg. 0,885 0,115 0,887 0,885 0,884 0,772 0,864 0,826 === Confusion Matrix === a b <-- classified as 22 4 | a = adenocarcinoma 2 24 | b = normal