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: 0.44 seconds Time taken to test model on training data: 0.35 seconds === Error on training data === Correctly Classified Instances 15 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0588 Root mean squared error 0.0588 Relative absolute error 12.1951 % Root relative squared error 12.0038 % Total Number of Instances 15 === 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_ovarian_surface_epithelium 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 0 9 | b = cc_epithelial_OvaCa_multiple_cultures Time taken to perform cross-validation: 0.36 seconds === Stratified cross-validation === Correctly Classified Instances 15 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0833 Root mean squared error 0.0833 Relative absolute error 17.2414 % Root relative squared error 17.0005 % Total Number of Instances 15 === 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_ovarian_surface_epithelium 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cc_epithelial_OvaCa_multiple_cultures Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 6 0 | a = normal_ovarian_surface_epithelium 0 9 | b = cc_epithelial_OvaCa_multiple_cultures