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: 0.48 seconds Time taken to test model on training data: 0.62 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: 0.69 seconds === Stratified cross-validation === Correctly Classified Instances 47 90.3846 % Incorrectly Classified Instances 5 9.6154 % Kappa statistic 0.7018 Mean absolute error 0.1182 Root mean squared error 0.3027 Relative absolute error 34.4413 % Root relative squared error 73.9148 % Total Number of Instances 52 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,951 0,273 0,929 0,951 0,940 0,703 0,841 0,924 CLL 0,727 0,049 0,800 0,727 0,762 0,703 0,841 0,670 normal_B_Cell Weighted Avg. 0,904 0,225 0,901 0,904 0,902 0,703 0,841 0,870 === Confusion Matrix === a b <-- classified as 39 2 | a = CLL 3 8 | b = normal_B_Cell