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: 2.84 seconds Time taken to test model on training data: 14.93 seconds === Error on training data === Correctly Classified Instances 194 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0051 Root mean squared error 0.0051 Relative absolute error 1.0204 % Root relative squared error 1.0204 % Total Number of Instances 194 === 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 adenocarcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 97 0 | a = normal 0 97 | b = adenocarcinoma Time taken to perform cross-validation: 17.11 seconds === Stratified cross-validation === Correctly Classified Instances 191 98.4536 % Incorrectly Classified Instances 3 1.5464 % Kappa statistic 0.9691 Mean absolute error 0.0228 Root mean squared error 0.1236 Relative absolute error 4.5682 % Root relative squared error 24.7252 % Total Number of Instances 194 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 1,000 0,031 0,970 1,000 0,985 0,970 0,984 0,970 normal 0,969 0,000 1,000 0,969 0,984 0,970 0,984 0,987 adenocarcinoma Weighted Avg. 0,985 0,015 0,985 0,985 0,985 0,970 0,984 0,978 === Confusion Matrix === a b <-- classified as 97 0 | a = normal 3 94 | b = adenocarcinoma