=== Classifier model (full training set) === ZeroR predicts class value: tumoral_late Time taken to build model: 0.02 seconds Time taken to test model on training data: 0.36 seconds === Error on training data === Correctly Classified Instances 17 44.7368 % Incorrectly Classified Instances 21 55.2632 % Kappa statistic 0 Mean absolute error 0.4305 Root mean squared error 0.4634 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 38 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,500 0,316 tumoral_early 1,000 1,000 0,447 1,000 0,618 ? 0,500 0,447 tumoral_late 0,000 0,000 ? 0,000 ? ? 0,500 0,237 normal Weighted Avg. 0,447 0,447 ? 0,447 ? ? 0,500 0,356 === Confusion Matrix === a b c <-- classified as 0 12 0 | a = tumoral_early 0 17 0 | b = tumoral_late 0 9 0 | c = normal Time taken to perform cross-validation: 0.43 seconds === Stratified cross-validation === Correctly Classified Instances 17 44.7368 % Incorrectly Classified Instances 21 55.2632 % Kappa statistic 0 Mean absolute error 0.4312 Root mean squared error 0.4637 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 38 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,487 0,310 tumoral_early 1,000 1,000 0,447 1,000 0,618 ? 0,480 0,438 tumoral_late 0,000 0,000 ? 0,000 ? ? 0,489 0,233 normal Weighted Avg. 0,447 0,447 ? 0,447 ? ? 0,484 0,349 === Confusion Matrix === a b c <-- classified as 0 12 0 | a = tumoral_early 0 17 0 | b = tumoral_late 0 9 0 | c = normal