=== Classifier model (full training set) === ZeroR predicts class value: Glioblastoma Time taken to build model: 0.01 seconds Time taken to test model on training data: 0.49 seconds === Error on training data === Correctly Classified Instances 12 32.4324 % Incorrectly Classified Instances 25 67.5676 % Kappa statistic 0 Mean absolute error 0.3701 Root mean squared error 0.4299 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 37 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,324 1,000 0,490 ? 0,500 0,324 Glioblastoma 0,000 0,000 ? 0,000 ? ? 0,500 0,216 Astrocytoma 0,000 0,000 ? 0,000 ? ? 0,500 0,189 Oligodendrioglioma 0,000 0,000 ? 0,000 ? ? 0,500 0,270 glioblastoma-cell-line Weighted Avg. 0,324 0,324 ? 0,324 ? ? 0,500 0,261 === Confusion Matrix === a b c d <-- classified as 12 0 0 0 | a = Glioblastoma 8 0 0 0 | b = Astrocytoma 7 0 0 0 | c = Oligodendrioglioma 10 0 0 0 | d = glioblastoma-cell-line Time taken to perform cross-validation: 0.55 seconds === Stratified cross-validation === Correctly Classified Instances 12 32.4324 % Incorrectly Classified Instances 25 67.5676 % Kappa statistic 0 Mean absolute error 0.3712 Root mean squared error 0.4312 Relative absolute error 100 % Root relative squared error 100 % Total Number of Instances 37 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 1,000 0,324 1,000 0,490 ? 0,487 0,319 Glioblastoma 0,000 0,000 ? 0,000 ? ? 0,435 0,201 Astrocytoma 0,000 0,000 ? 0,000 ? ? 0,452 0,176 Oligodendrioglioma 0,000 0,000 ? 0,000 ? ? 0,467 0,258 glioblastoma-cell-line Weighted Avg. 0,324 0,324 ? 0,324 ? ? 0,464 0,250 === Confusion Matrix === a b c d <-- classified as 12 0 0 0 | a = Glioblastoma 8 0 0 0 | b = Astrocytoma 7 0 0 0 | c = Oligodendrioglioma 10 0 0 0 | d = glioblastoma-cell-line