Fig. 5
From: Machine learning determination of applied behavioral analysis treatment plan type
Confusion matrix providing a visual representation of the machine learning prediction model’s output for the hold-out test dataset. Out of the 71 patients in the hold-out test dataset, the ML prediction model successfully classified 57 patients as requiring comprehensive ABA treatment or focused ABA treatment. ABA applied behavioral analysis; TP true positive; FP false positive; TN true negative; FN false negative