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: 0.47 seconds Time taken to test model on training data: 0.68 seconds === Error on training data === Correctly Classified Instances 52 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0185 Root mean squared error 0.0185 Relative absolute error 5.4507 % Root relative squared error 4.5329 % Total Number of Instances 52 === 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 CLL 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_B_Cell Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 41 0 | a = CLL 0 11 | b = normal_B_Cell Time taken to perform cross-validation: 0.71 seconds === Stratified cross-validation === Correctly Classified Instances 49 94.2308 % Incorrectly Classified Instances 3 5.7692 % Kappa statistic 0.8211 Mean absolute error 0.0818 Root mean squared error 0.2351 Relative absolute error 23.8472 % Root relative squared error 57.412 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,976 0,182 0,952 0,976 0,964 0,823 0,874 0,936 CLL 0,818 0,024 0,900 0,818 0,857 0,823 0,874 0,820 normal_B_Cell Weighted Avg. 0,942 0,149 0,941 0,942 0,941 0,823 0,874 0,912 === Confusion Matrix === a b <-- classified as 40 1 | a = CLL 2 9 | b = normal_B_Cell