Time taken to test model on training data: 2.1 seconds === Error on training data === Correctly Classified Instances 147 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.2222 Root mean squared error 0.2722 Relative absolute error 72.4995 % Root relative squared error 69.8369 % Total Number of Instances 147 === 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_LCM 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_homogenized 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_homogenized 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 104 0 0 | a = tumoral_LCM 0 25 0 | b = normal_homogenized 0 0 18 | c = tumoral_homogenized Time taken to perform cross-validation: 3.99 seconds === Stratified cross-validation === Correctly Classified Instances 146 99.3197 % Incorrectly Classified Instances 1 0.6803 % Kappa statistic 0.9851 Mean absolute error 0.2237 Root mean squared error 0.2749 Relative absolute error 72.6548 % Root relative squared error 70.5208 % Total Number of Instances 147 === 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_LCM 0,960 0,000 1,000 0,960 0,980 0,976 1,000 1,000 normal_homogenized 1,000 0,008 0,947 1,000 0,973 0,970 0,996 0,947 tumoral_homogenized Weighted Avg. 0,993 0,001 0,994 0,993 0,993 0,992 1,000 0,994 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 0 24 1 | b = normal_homogenized 0 0 18 | c = tumoral_homogenized