Model Specification for the Random Forests Method

Number of Random Samples	1000
Percentage of Students of Random Sample to that of Original Data	63.20%
Sampling with Replacement to Draw Random Samples	No
Test Statistic Selecting the Covariate and the Split Value	Quadratic Form
Adjustment to Multiple Testing of Covariates	No Adjustment
Number of Covariates to Randomly Sample in Each Selection of Covariate	All Covariates
Minimum Number of Students in Each Intermediate Node	100
Minimum Number of Students in Each Terminal Node	1
Maximum Depth of Classification Tree Model	No control
Data Used to Calculate Propensity Scores Using Each Classification Tree	Out-of-bag Data