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: 0.57 seconds Time taken to test model on training data: 0.74 seconds === Error on training data === Correctly Classified Instances 42 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0227 Root mean squared error 0.0227 Relative absolute error 5.2764 % Root relative squared error 4.9153 % Total Number of Instances 42 === 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 larynx_squamous_cell_carcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 13 0 | a = normal 0 29 | b = larynx_squamous_cell_carcinoma Time taken to perform cross-validation: 0.77 seconds === Stratified cross-validation === Correctly Classified Instances 42 100 % Incorrectly Classified Instances 0 0 % Kappa statistic 1 Mean absolute error 0.0333 Root mean squared error 0.0333 Relative absolute error 7.6923 % Root relative squared error 7.1858 % Total Number of Instances 42 === 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 larynx_squamous_cell_carcinoma Weighted Avg. 1,000 0,000 1,000 1,000 1,000 1,000 1,000 1,000 === Confusion Matrix === a b <-- classified as 13 0 | a = normal 0 29 | b = larynx_squamous_cell_carcinoma