Time taken to test model on training data: 0.37 seconds === Error on training data === Correctly Classified Instances 55 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.25 Root mean squared error 0.3118 Relative absolute error 67.5198 % Root relative squared error 72.4989 % Total Number of Instances 55 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 adenoma 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 carcinoma 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 metastasis 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c d <-- classified as 16 0 0 0 | a = adenoma 0 17 0 0 | b = carcinoma 0 0 11 0 | c = metastasis 0 0 0 11 | d = normal Time taken to perform cross-validation: 0.93 seconds === Stratified cross-validation === Correctly Classified Instances 52 94.5455 % Incorrectly Classified Instances 3 5.4545 % Kappa statistic 0.9262 Mean absolute error 0.2545 Root mean squared error 0.3186 Relative absolute error 68.6162 % Root relative squared error 73.9485 % Total Number of Instances 55 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,875 0,000 1,000 0,875 0,933 0,912 0,962 0,925 adenoma 1,000 0,053 0,895 1,000 0,944 0,921 0,974 0,895 carcinoma 0,909 0,000 1,000 0,909 0,952 0,943 0,995 0,972 metastasis 1,000 0,023 0,917 1,000 0,957 0,946 0,989 0,917 normal Weighted Avg. 0,945 0,021 0,951 0,945 0,945 0,928 0,977 0,923 === Confusion Matrix === a b c d <-- classified as 14 1 0 1 | a = adenoma 0 17 0 0 | b = carcinoma 0 1 10 0 | c = metastasis 0 0 0 11 | d = normal