=== Classifier model (full training set) === ZeroR predicts class value: normal Time taken to build model: 0.01 seconds Time taken to test model on training data: 2.34 seconds === Error on training data === Correctly Classified Instances 146 50.519 % Incorrectly Classified Instances 143 49.481 % Kappa statistic 0 Mean absolute error 0.4999 Root mean squared error 0.5 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 289 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,505 1,000 0,671 ? 0,500 0,505 normal 0,000 0,000 ? 0,000 ? ? 0,500 0,495 breast_adenocarcinoma Weighted Avg. 0,505 0,505 ? 0,505 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 146 0 | a = normal 143 0 | b = breast_adenocarcinoma Time taken to perform cross-validation: 2.43 seconds === Stratified cross-validation === Correctly Classified Instances 146 50.519 % Incorrectly Classified Instances 143 49.481 % Kappa statistic 0 Mean absolute error 0.5 Root mean squared error 0.5 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 289 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,505 1,000 0,671 ? 0,495 0,503 normal 0,000 0,000 ? 0,000 ? ? 0,495 0,492 breast_adenocarcinoma Weighted Avg. 0,505 0,505 ? 0,505 ? ? 0,495 0,497 === Confusion Matrix === a b <-- classified as 146 0 | a = normal 143 0 | b = breast_adenocarcinoma