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: 0.59 seconds Time taken to test model on training data: 0.55 seconds === Error on training data === Correctly Classified Instances 24 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0385 Root mean squared error 0.0385 Relative absolute error 8.1633 % Root relative squared error 7.943 % Total Number of Instances 24 === 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 tumoral_serous Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous Time taken to perform cross-validation: 0.6 seconds === Stratified cross-validation === Correctly Classified Instances 24 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0556 Root mean squared error 0.0556 Relative absolute error 11.7647 % Root relative squared error 11.4708 % Total Number of Instances 24 === 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 tumoral_serous Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 9 0 | a = normal_ovarian_surface_epithelium 0 15 | b = tumoral_serous