=== Classifier model (full training set) === ZeroR predicts class value: primary_prostate_tumor Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.36 seconds === Error on training data === Correctly Classified Instances 64 51.6129 % Incorrectly Classified Instances 60 48.3871 % Kappa statistic 0 Mean absolute error 0.4995 Root mean squared error 0.4997 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,516 1,000 0,681 ? 0,500 0,516 primary_prostate_tumor 0,000 0,000 ? 0,000 ? ? 0,500 0,484 normal Weighted Avg. 0,516 0,516 ? 0,516 ? ? 0,500 0,501 === Confusion Matrix === a b <-- classified as 64 0 | a = primary_prostate_tumor 60 0 | b = normal Time taken to perform cross-validation: 0.38 seconds === Stratified cross-validation === Correctly Classified Instances 64 51.6129 % Incorrectly Classified Instances 60 48.3871 % Kappa statistic 0 Mean absolute error 0.4995 Root mean squared error 0.4998 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 124 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,516 1,000 0,681 ? 0,495 0,514 primary_prostate_tumor 0,000 0,000 ? 0,000 ? ? 0,495 0,481 normal Weighted Avg. 0,516 0,516 ? 0,516 ? ? 0,495 0,498 === Confusion Matrix === a b <-- classified as 64 0 | a = primary_prostate_tumor 60 0 | b = normal