=== Classifier model (full training set) === ZeroR predicts class value: carcinoma Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.29 seconds === Error on training data === Correctly Classified Instances 17 30.9091 % Incorrectly Classified Instances 38 69.0909 % Kappa statistic 0 Mean absolute error 0.3703 Root mean squared error 0.4301 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 55 === 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 0,291 adenoma 1,000 1,000 0,309 1,000 0,472 ? 0,500 0,309 carcinoma 0,000 0,000 ? 0,000 ? ? 0,500 0,200 metastasis 0,000 0,000 ? 0,000 ? ? 0,500 0,200 normal Weighted Avg. 0,309 0,309 ? 0,309 ? ? 0,500 0,260 === Confusion Matrix === a b c d <-- classified as 0 16 0 0 | a = adenoma 0 17 0 0 | b = carcinoma 0 11 0 0 | c = metastasis 0 11 0 0 | d = normal Time taken to perform cross-validation: 0.35 seconds === Stratified cross-validation === Correctly Classified Instances 16 29.0909 % Incorrectly Classified Instances 39 70.9091 % Kappa statistic -0.0176 Mean absolute error 0.371 Root mean squared error 0.4309 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 55 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,313 0,333 0,278 0,313 0,294 -0,020 0,479 0,283 adenoma 0,647 0,684 0,297 0,647 0,407 -0,037 0,471 0,296 carcinoma 0,000 0,000 ? 0,000 ? ? 0,455 0,189 metastasis 0,000 0,000 ? 0,000 ? ? 0,462 0,187 normal Weighted Avg. 0,291 0,308 ? 0,291 ? ? 0,468 0,249 === Confusion Matrix === a b c d <-- classified as 5 11 0 0 | a = adenoma 6 11 0 0 | b = carcinoma 4 7 0 0 | c = metastasis 3 8 0 0 | d = normal