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: 0.4 seconds Time taken to test model on training data: 0.26 seconds === Error on training data === Correctly Classified Instances 12 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0714 Root mean squared error 0.0714 Relative absolute error 14.2857 % Root relative squared error 14.2857 % Total Number of Instances 12 === 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 6 0 | a = tumoral 0 6 | b = normal Time taken to perform cross-validation: 0.3 seconds === Stratified cross-validation === Correctly Classified Instances 10 83.3333 % Incorrectly Classified Instances 2 16.6667 % Kappa statistic 0.6667 Mean absolute error 0.2333 Root mean squared error 0.3786 Relative absolute error 46.6667 % Root relative squared error 75.7188 % Total Number of Instances 12 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,778 tumoral 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,778 normal Weighted Avg. 0,833 0,167 0,833 0,833 0,833 0,667 0,833 0,778 === Confusion Matrix === a b <-- classified as 5 1 | a = tumoral 1 5 | b = normal