=== 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: 0.32 seconds === Error on training data === Correctly Classified Instances 59 51.3043 % Incorrectly Classified Instances 56 48.6957 % Kappa statistic 0 Mean absolute error 0.4997 Root mean squared error 0.4998 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,513 1,000 0,678 ? 0,500 0,513 primary_prostate_tumor 0,000 0,000 ? 0,000 ? ? 0,500 0,487 normal Weighted Avg. 0,513 0,513 ? 0,513 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 59 0 | a = primary_prostate_tumor 56 0 | b = normal Time taken to perform cross-validation: 0.36 seconds === Stratified cross-validation === Correctly Classified Instances 59 51.3043 % Incorrectly Classified Instances 56 48.6957 % Kappa statistic 0 Mean absolute error 0.4998 Root mean squared error 0.5 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 115 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,513 1,000 0,678 ? 0,488 0,507 primary_prostate_tumor 0,000 0,000 ? 0,000 ? ? 0,488 0,481 normal Weighted Avg. 0,513 0,513 ? 0,513 ? ? 0,488 0,494 === Confusion Matrix === a b <-- classified as 59 0 | a = primary_prostate_tumor 56 0 | b = normal