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: 1.77 seconds Time taken to test model on training data: 4.07 seconds === Error on training data === Correctly Classified Instances 90 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0109 Root mean squared error 0.0109 Relative absolute error 2.175 % Root relative squared error 2.1744 % Total Number of Instances 90 === 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 tumoral 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 46 0 | a = tumoral 0 44 | b = normal Time taken to perform cross-validation: 4.5 seconds === Stratified cross-validation === Correctly Classified Instances 85 94.4444 % Incorrectly Classified Instances 5 5.5556 % Kappa statistic 0.8891 Mean absolute error 0.0699 Root mean squared error 0.2324 Relative absolute error 13.9785 % Root relative squared error 46.4698 % Total Number of Instances 90 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,891 0,000 1,000 0,891 0,943 0,895 0,946 0,947 tumoral 1,000 0,109 0,898 1,000 0,946 0,895 0,946 0,898 normal Weighted Avg. 0,944 0,053 0,950 0,944 0,944 0,895 0,946 0,923 === Confusion Matrix === a b <-- classified as 41 5 | a = tumoral 0 44 | b = normal