=== Classifier model (full training set) === ZeroR predicts class value: adenocarcinoma Time taken to build model: 0.02 seconds Time taken to test model on training data: 0.3 seconds === Error on training data === Correctly Classified Instances 10 50 % Incorrectly Classified Instances 10 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 20 === 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 10 0 | a = adenocarcinoma 10 0 | b = normal Time taken to perform cross-validation: 0.36 seconds === Stratified cross-validation === Correctly Classified Instances 9 45 % Incorrectly Classified Instances 11 55 % Kappa statistic -0.1 Mean absolute error 0.5033 Root mean squared error 0.5041 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 20 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,600 0,700 0,462 0,600 0,522 -0,105 0,435 0,467 adenocarcinoma 0,300 0,400 0,429 0,300 0,353 -0,105 0,435 0,467 normal Weighted Avg. 0,450 0,550 0,445 0,450 0,437 -0,105 0,435 0,467 === Confusion Matrix === a b <-- classified as 6 4 | a = adenocarcinoma 7 3 | b = normal