Supplementay Material for ``Decision Tree-Based Predictive Models for Academic Achievement Using College Students' Support Networks''

Includes: 

1. `CHAID_algo.R'  : R code implementing the CHAID algorithm, plotting a CHAID tree and calculating training and testing accuracy of 
                     the CHAID algorithm based on 500 iterations.

2. `cforest_algo.R': R code implementing the cforest algorithm, calculating training and testing accuracy of the cforest algorithm 
                     based on 500 iterations and computing conditional variable importance.

3. `student-mat'   : Example data, used to demonstrate the above mentioned R codes. This dataset is publicly available at 
                     https://archive.ics.uci.edu/ml/datasets/Student+Performance. 

