Table 1.

Top 10 predictors used in node splitting in the deterministic forests built on the training sample in primary and sensitivity analyses

Primary analysis Missing as heavy drinking	Sensitivity analysis 1 Subjects with complete drinking data	Sensitivity analysis 2 Missing as not heavy drinking
1. Good clinical outcome during treatment	Good clinical outcome during treatment	Good clinical outcome during treatment
2. Employment	Abstinence during last 8 weeks of treatment	Abstinence during last 8 weeks of treatment
3. Abstinence during last 8 weeks of treatment	Employment	Employment
4. University of Rhode Island Change Assessment (URICA) maintenance subscale score	Weight	Important persons
5. Baseline blood alcohol concentration peak	Drinking level during last 8 weeks of treatment	Drinking goal
6. Drinking level during last 8 weeks of treatment	World Health Organization Quality of Life psychological domain	URICA maintenance subscale score
7. Alcohol-Abstinence Self Efficacy (AASE) total temptation score	Age of onset	Drinking level during last 8 weeks of treatment
8. Age	URICA scale maintenance score	No heavy drinking days during last 8 weeks of treatment
9. Drinking goal	No heavy drinking days during last 8 weeks of treatment	Weight
10. World Health Organization Quality of Life psychological domain	Compliance with medication	DRinker Inventory of Consequences (DRINC) total score