=== 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: 0.31 seconds === Error on training data === Correctly Classified Instances 26 50 % Incorrectly Classified Instances 26 50 % 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 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,500 1,000 0,667 ? 0,500 0,500 adenocarcinoma 0,000 0,000 ? 0,000 ? ? 0,500 0,500 normal Weighted Avg. 0,500 0,500 ? 0,500 ? ? 0,500 0,500 === Confusion Matrix === a b <-- classified as 26 0 | a = adenocarcinoma 26 0 | b = normal Time taken to perform cross-validation: 0.36 seconds === Stratified cross-validation === Correctly Classified Instances 25 48.0769 % Incorrectly Classified Instances 27 51.9231 % Kappa statistic -0.0385 Mean absolute error 0.5005 Root mean squared error 0.5006 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,654 0,692 0,486 0,654 0,557 -0,041 0,474 0,486 adenocarcinoma 0,308 0,346 0,471 0,308 0,372 -0,041 0,474 0,486 normal Weighted Avg. 0,481 0,519 0,478 0,481 0,465 -0,041 0,474 0,486 === Confusion Matrix === a b <-- classified as 17 9 | a = adenocarcinoma 18 8 | b = normal