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: 2.43 seconds Time taken to test model on training data: 7.95 seconds === Error on training data === Correctly Classified Instances 143 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0069 Root mean squared error 0.0069 Relative absolute error 1.3794 % Root relative squared error 1.3793 % Total Number of Instances 143 === 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 ccRCC 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 71 0 | a = ccRCC 0 72 | b = normal Time taken to perform cross-validation: 10.3 seconds === Stratified cross-validation === Correctly Classified Instances 113 79.021 % Incorrectly Classified Instances 30 20.979 % Kappa statistic 0.5802 Mean absolute error 0.2158 Root mean squared error 0.4534 Relative absolute error 43.1517 % Root relative squared error 90.6807 % Total Number of Instances 143 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,761 0,181 0,806 0,761 0,783 0,581 0,768 0,732 ccRCC 0,819 0,239 0,776 0,819 0,797 0,581 0,768 0,708 normal Weighted Avg. 0,790 0,210 0,791 0,790 0,790 0,581 0,768 0,720 === Confusion Matrix === a b <-- classified as 54 17 | a = ccRCC 13 59 | b = normal