Furthermore, we can inspect where a particular misclassification has been made by examining the confusion matrix. The confusion matrix shows how a specific class value was predicted:
double[][] confusionMatrix = eval_roc.confusionMatrix(); System.out.println(eval_roc.toMatrixString());
The resulting confusion matrix is as follows:
=== Confusion Matrix === a b c d e f g <-- classified as 41 0 0 0 0 0 0 | a = mammal 0 20 0 0 0 0 0 | b = bird 0 0 3 1 0 1 0 | c = reptile 0 0 0 13 0 0 0 | d = fish 0 0 1 0 3 0 0 | e = amphibian 0 0 0 0 0 5 3 | f = insect 0 0 0 0 0 2 8 | g = invertebrate
The column names in the first row correspond to the labels assigned by the classification node. Each additional row then corresponds to ...