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: 2.58 seconds Time taken to test model on training data: 10.64 seconds === Error on training data === Correctly Classified Instances 147 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0089 Root mean squared error 0.0094 Relative absolute error 2.9 % Root relative squared error 2.4192 % Total Number of Instances 147 === 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 tumoral_LCM 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 normal_homogenized 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 tumoral_homogenized Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b c <-- classified as 104 0 0 | a = tumoral_LCM 0 25 0 | b = normal_homogenized 0 0 18 | c = tumoral_homogenized Time taken to perform cross-validation: 12.06 seconds === Stratified cross-validation === Correctly Classified Instances 142 96.5986 % Incorrectly Classified Instances 5 3.4014 % Kappa statistic 0.9273 Mean absolute error 0.0352 Root mean squared error 0.149 Relative absolute error 11.4319 % Root relative squared error 38.217 % Total Number of Instances 147 === Detailed Accuracy By Class === TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class 0,971 0,000 1,000 0,971 0,985 0,953 0,986 0,992 tumoral_LCM 0,920 0,000 1,000 0,920 0,958 0,951 0,960 0,934 normal_homogenized 1,000 0,039 0,783 1,000 0,878 0,867 0,981 0,783 tumoral_homogenized Weighted Avg. 0,966 0,005 0,973 0,966 0,968 0,942 0,981 0,956 === Confusion Matrix === a b c <-- classified as 101 0 3 | a = tumoral_LCM 0 23 2 | b = normal_homogenized 0 0 18 | c = tumoral_homogenized