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: 1.27 seconds Time taken to test model on training data: 2.46 seconds === Error on training data === Correctly Classified Instances 63 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0154 Root mean squared error 0.0154 Relative absolute error 3.0777 % Root relative squared error 3.0773 % Total Number of Instances 63 === 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 normal 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 adenoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 0 31 | b = adenoma Time taken to perform cross-validation: 2.6 seconds === Stratified cross-validation === Correctly Classified Instances 62 98.4127 % Incorrectly Classified Instances 1 1.5873 % Kappa statistic 0.9682 Mean absolute error 0.0379 Root mean squared error 0.1252 Relative absolute error 7.5703 % Root relative squared error 25.0078 % Total Number of Instances 63 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,032 0,970 1,000 0,985 0,969 0,984 0,970 normal 0,968 0,000 1,000 0,968 0,984 0,969 0,984 0,984 adenoma Weighted Avg. 0,984 0,016 0,985 0,984 0,984 0,969 0,984 0,977 === Confusion Matrix === a b <-- classified as 32 0 | a = normal 1 30 | b = adenoma