Options: -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last"" === Classifier model (full training set) === IB1 instance-based classifier using 1 nearest neighbour(s) for classification Time taken to build model: 1.02 seconds Time taken to test model on training data: 1.69 seconds === Error on training data === Correctly Classified Instances 49 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0196 Root mean squared error 0.0196 Relative absolute error 4.7619 % Root relative squared error 4.3396 % Total Number of Instances 49 === 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 tumoral 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 <-- classified as 35 0 | a = tumoral 0 14 | b = normal Time taken to perform cross-validation: 1.93 seconds === Stratified cross-validation === Correctly Classified Instances 46 93.8776 % Incorrectly Classified Instances 3 6.1224 % Kappa statistic 0.8397 Mean absolute error 0.0865 Root mean squared error 0.2418 Relative absolute error 20.8972 % Root relative squared error 53.4166 % Total Number of Instances 49 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,214 0,921 1,000 0,959 0,851 0,928 0,946 tumoral 0,786 0,000 1,000 0,786 0,880 0,851 0,928 0,880 normal Weighted Avg. 0,939 0,153 0,944 0,939 0,936 0,851 0,928 0,927 === Confusion Matrix === a b <-- classified as 35 0 | a = tumoral 3 11 | b = normal