Time taken to test model on training data: 0.41 seconds === Error on training data === Correctly Classified Instances 66 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.2222 Root mean squared error 0.2722 Relative absolute error 53.8298 % Root relative squared error 60.0054 % Total Number of Instances 66 === 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 cancer_epithelial 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 cancer_stroma 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 28 0 0 | a = cancer_epithelial 0 28 0 | b = cancer_stroma 0 0 10 | c = normal Time taken to perform cross-validation: 0.97 seconds === Stratified cross-validation === Correctly Classified Instances 54 81.8182 % Incorrectly Classified Instances 12 18.1818 % Kappa statistic 0.6993 Mean absolute error 0.2694 Root mean squared error 0.3482 Relative absolute error 65.0744 % Root relative squared error 76.6536 % Total Number of Instances 66 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,821 0,105 0,852 0,821 0,836 0,720 0,860 0,777 cancer_epithelial 0,857 0,211 0,750 0,857 0,800 0,639 0,840 0,713 cancer_stroma 0,700 0,000 1,000 0,700 0,824 0,815 0,895 0,810 normal Weighted Avg. 0,818 0,134 0,831 0,818 0,819 0,700 0,857 0,755 === Confusion Matrix === a b c <-- classified as 23 5 0 | a = cancer_epithelial 4 24 0 | b = cancer_stroma 0 3 7 | c = normal