=== Classifier model (full training set) === ZeroR predicts class value: normal Time taken to build model: 0.02 seconds Time taken to test model on training data: 0.27 seconds === Error on training data === Correctly Classified Instances 10 55.5556 % Incorrectly Classified Instances 8 44.4444 % Kappa statistic 0 Mean absolute error 0.4944 Root mean squared error 0.4969 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 18 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,556 1,000 0,714 ? 0,500 0,556 normal 0,000 0,000 ? 0,000 ? ? 0,500 0,444 tumoral Weighted Avg. 0,556 0,556 ? 0,556 ? ? 0,500 0,506 === Confusion Matrix === a b <-- classified as 10 0 | a = normal 8 0 | b = tumoral Time taken to perform cross-validation: 0.32 seconds === Stratified cross-validation === Correctly Classified Instances 10 55.5556 % Incorrectly Classified Instances 8 44.4444 % Kappa statistic 0 Mean absolute error 0.5 Root mean squared error 0.5034 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 18 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,556 1,000 0,714 ? 0,425 0,522 normal 0,000 0,000 ? 0,000 ? ? 0,425 0,417 tumoral Weighted Avg. 0,556 0,556 ? 0,556 ? ? 0,425 0,475 === Confusion Matrix === a b <-- classified as 10 0 | a = normal 8 0 | b = tumoral