Time taken to test model on training data: 0.4 seconds === Error on training data === Correctly Classified Instances 38 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.2222 Root mean squared error 0.2722 Relative absolute error 51.6236 % Root relative squared error 58.7347 % Total Number of Instances 38 === 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_early 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_late 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 c <-- classified as 12 0 0 | a = tumoral_early 0 17 0 | b = tumoral_late 0 0 9 | c = normal Time taken to perform cross-validation: 0.97 seconds === Stratified cross-validation === Correctly Classified Instances 18 47.3684 % Incorrectly Classified Instances 20 52.6316 % Kappa statistic 0.173 Mean absolute error 0.3567 Root mean squared error 0.4567 Relative absolute error 82.7271 % Root relative squared error 98.4935 % Total Number of Instances 38 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,333 0,346 0,308 0,333 0,320 -0,013 0,543 0,336 tumoral_early 0,588 0,381 0,556 0,588 0,571 0,206 0,692 0,568 tumoral_late 0,444 0,103 0,571 0,444 0,500 0,374 0,762 0,452 normal Weighted Avg. 0,474 0,304 0,481 0,474 0,475 0,177 0,662 0,467 === Confusion Matrix === a b c <-- classified as 4 6 2 | a = tumoral_early 6 10 1 | b = tumoral_late 3 2 4 | c = normal