Predicting dropout from psychological treatment using different machine learning algorithms, resampling methods, and sample sizes.

Resampling methods could improve the accuracy of predicting dropout in psychological interventions. Down-sampling is recommended as it is the least computationally taxing method. The training sample should contain at least 300 cases.