Before revision:  This is confirmed by our data driven result that states that random forest can accurately predict the choice probability of any discrete choice model . Our framework has unique advantages: it can capture behavioral patterns such as irrationality or sequential searches;
After revision:  This is confirmed by our data driven result that states that random forest can accurately predict the choice probability of any discrete choice model consistently, with its splitting criterion capable of recovering preference rank lists. The framework has unique advantages: it can capture behavioral patterns such as irrationality or sequential searches;