Classification results for the long light-curve baseline scenario. The classifier was trained following a binary configuration of the training set (KN vs non-KN). We show the results separated by class in order to allow for a better understanding of the contaminants. The plot shows the SNANA code and class names as a function of the number of elements in the test sample. Each bar corresponds to the total number of objects of each class in the test sample. Orange bars denote non-KN and blue bars correspond to KN models. The number to the right of each bar reports the percentage of events correctly classified for each class.