The top ten variables in prediction capacity of revision ESS.

Three models were used and the classifiers of the three models were the logistic regression, gradient boosting and random forest for predicting revision ESS. We used the sequential forward selection (SFS) method to select the top performing variables. In each SFS run, the best variable was awarded 15 points, the next best variable 14 points and so on. Ten runs were performed using each of the three classifiers. The rank score represents the sum of points (range, 0–150 points).