=== Classifier model (full training set) === ZeroR predicts class value: oral_cavity_cancer Time taken to build model: 0.02 seconds Time taken to test model on training data: 1.35 seconds === Error on training data === Correctly Classified Instances 74 71.8447 % Incorrectly Classified Instances 29 28.1553 % Kappa statistic 0 Mean absolute error 0.4064 Root mean squared error 0.4498 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 103 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,718 1,000 0,836 ? 0,500 0,718 oral_cavity_cancer 0,000 0,000 ? 0,000 ? ? 0,500 0,282 normal Weighted Avg. 0,718 0,718 ? 0,718 ? ? 0,500 0,595 === Confusion Matrix === a b <-- classified as 74 0 | a = oral_cavity_cancer 29 0 | b = normal Time taken to perform cross-validation: 1.48 seconds === Stratified cross-validation === Correctly Classified Instances 74 71.8447 % Incorrectly Classified Instances 29 28.1553 % Kappa statistic 0 Mean absolute error 0.4074 Root mean squared error 0.45 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 103 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,718 1,000 0,836 ? 0,484 0,712 oral_cavity_cancer 0,000 0,000 ? 0,000 ? ? 0,484 0,274 normal Weighted Avg. 0,718 0,718 ? 0,718 ? ? 0,484 0,588 === Confusion Matrix === a b <-- classified as 74 0 | a = oral_cavity_cancer 29 0 | b = normal