=== 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: 0.3 seconds === Error on training data === Correctly Classified Instances 27 52.9412 % Incorrectly Classified Instances 24 47.0588 % Kappa statistic 0 Mean absolute error 0.4983 Root mean squared error 0.4991 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,529 1,000 0,692 ? 0,500 0,529 normal 0,000 0,000 ? 0,000 ? ? 0,500 0,471 adenocarcinoma Weighted Avg. 0,529 0,529 ? 0,529 ? ? 0,500 0,502 === Confusion Matrix === a b <-- classified as 27 0 | a = normal 24 0 | b = adenocarcinoma Time taken to perform cross-validation: 0.31 seconds === Stratified cross-validation === Correctly Classified Instances 27 52.9412 % Incorrectly Classified Instances 24 47.0588 % Kappa statistic 0 Mean absolute error 0.4984 Root mean squared error 0.4991 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 51 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,529 1,000 0,692 ? 0,500 0,529 normal 0,000 0,000 ? 0,000 ? ? 0,500 0,471 adenocarcinoma Weighted Avg. 0,529 0,529 ? 0,529 ? ? 0,500 0,502 === Confusion Matrix === a b <-- classified as 27 0 | a = normal 24 0 | b = adenocarcinoma