=== Classifier model (full training set) === ZeroR predicts class value: adenocarcinoma Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.38 seconds === Error on training data === Correctly Classified Instances 33 50.7692 % Incorrectly Classified Instances 32 49.2308 % Kappa statistic 0 Mean absolute error 0.4999 Root mean squared error 0.4999 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 65 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,000 0,000 ? 0,000 ? ? 0,500 0,492 normal 1,000 1,000 0,508 1,000 0,673 ? 0,500 0,508 adenocarcinoma Weighted Avg. 0,508 0,508 ? 0,508 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 0 32 | a = normal 0 33 | b = adenocarcinoma Time taken to perform cross-validation: 0.43 seconds === Stratified cross-validation === Correctly Classified Instances 32 49.2308 % Incorrectly Classified Instances 33 50.7692 % Kappa statistic -0.0209 Mean absolute error 0.5 Root mean squared error 0.5001 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 65 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,313 0,333 0,476 0,313 0,377 -0,022 0,490 0,487 normal 0,667 0,688 0,500 0,667 0,571 -0,022 0,490 0,503 adenocarcinoma Weighted Avg. 0,492 0,513 0,488 0,492 0,476 -0,022 0,490 0,495 === Confusion Matrix === a b <-- classified as 10 22 | a = normal 11 22 | b = adenocarcinoma