=== Classifier model (full training set) === ZeroR predicts class value: tumoral_LCM Time taken to build model: 0.02 seconds Time taken to test model on training data: 1.9 seconds === Error on training data === Correctly Classified Instances 104 70.7483 % Incorrectly Classified Instances 43 29.2517 % Kappa statistic 0 Mean absolute error 0.3065 Root mean squared error 0.3897 Relative absolute error 100 % Root relative squared error 100 % 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 1,000 0,707 1,000 0,829 ? 0,500 0,707 tumoral_LCM 0,000 0,000 ? 0,000 ? ? 0,500 0,170 normal_homogenized 0,000 0,000 ? 0,000 ? ? 0,500 0,122 tumoral_homogenized Weighted Avg. 0,707 0,707 ? 0,707 ? ? 0,500 0,544 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 25 0 0 | b = normal_homogenized 18 0 0 | c = tumoral_homogenized Time taken to perform cross-validation: 2.08 seconds === Stratified cross-validation === Correctly Classified Instances 104 70.7483 % Incorrectly Classified Instances 43 29.2517 % Kappa statistic 0 Mean absolute error 0.3079 Root mean squared error 0.3899 Relative absolute error 100 % Root relative squared error 100 % 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 1,000 0,707 1,000 0,829 ? 0,489 0,703 tumoral_LCM 0,000 0,000 ? 0,000 ? ? 0,484 0,166 normal_homogenized 0,000 0,000 ? 0,000 ? ? 0,500 0,122 tumoral_homogenized Weighted Avg. 0,707 0,707 ? 0,707 ? ? 0,490 0,541 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 25 0 0 | b = normal_homogenized 18 0 0 | c = tumoral_homogenized