Abstract: A layered machine learning system for processing data. The machine learning system comprises decision trees with different depths. An iterative training process is performed on the layered machine learning system to determine the structures of the decision trees based on prior predictions. The fitted decision trees are further configured to update leaf values with a gradient boosting method. By cumulating the predictions of decisions trees in prior iterations, interaction effects are modeled among different depths within the layered machine learning system.

Abstract: A system and method for automated monitoring/evaluating of the distraction of an operator of a controllably movable object, and more specifically, but not exclusively, to a system for monitoring and/or evaluating distraction of a driver of a vehicle and providing a score to the level of distraction relating to the use of other device while driving.