Redditors in Recovery: Text Mining Reddit to Investigate Transitions into Drug Addiction
TABLE III: Cox Model Results Summary. Train/test split of 1,775 (1665 censored) and 592 (352 censored) users, respectively. C-Index shown for models using different feature sets. The model using drug utterances, keywords, and LIWC features performed best on training set using 5-fold cross validation and gave a test-set C-Index of 0.820. Test set data consisted of 45 observed and 592 censored examples.
['Model', 'C-Index']
Concordance ranges from 0 to 1 (a higher score indicates a stronger model) and is analagous to the AUC score of the Receiver Operating Characteristic (ROC).