Learning Treatments for Student Retention using TAR3

Using the treatment learner TAR3 (here, Menzies 2001), treatments were learned from features previously selected from enrollment data experiments. Below are the first obtained treatments:

Class = YES
bestClass = 20.00%

 1 worth=1.112139 [FinAidSTUDENT_AG=[5123.000000..724724.000000]] 
 2 worth=1.105999 [FinAidPARENT_MAR=M] [FinAidSTUDENT_WA=[3878.000000..561500.000000]]   
 3 worth=1.102110 [FinAidFATHER_WAG=[43669.000000..999999.000000]] [FinAidFATHER_ED=3.0]   
4 worth=1.097397 [FinAidPARENT_AGI=[67908.000000..999999.000000]]   5 worth=1.092824 [FinAidSTUDENT_WA=[3878.000000..561500.000000]]   
6 worth=1.092252 [FinAidMOTHER_ED=3.0] [FinAidFATHER_ED=3.0]   
7 worth=1.090565 [FinAidFATHER_WAG=[43669.000000..999999.000000]]   8 worth=1.082257 [FinAidFATHER_ED=3.0]   
9 worth=1.080906 [FinAidMOTHER_WAG=[23139.000000..533395.000000]] [FinAidSTUDENT_AG=[5123.000000..724724.000000]]  
10 worth=1.079164 [TotalClasses=[6.000000..10.000000]] [FinAidPARENT_MAR=M]  

Class = YES
bestClass = 10.00%

 1 worth=1.159171    [FinAidPARENT_MAR=M] [FinAidPARENT_AGI=[67908.000000..999999.000000]] [CUR_ERLHRS=[15.000000..22.000000]] [FinAidSTUDENT_AG=[5123.000000..724724.000000]] 
 2 worth=1.156786    [FinAidFATHER_WAG=[43669.000000..999999.000000]] [FinAidSTUDENT_AG=[5123.000000..724724.000000]]   
3 worth=1.132347    [FinAidPARENT_HOU=4.0] [FinAidSTUDENT_AG=[5123.000000..724724.000000]]   
4 worth=1.128918    [HS_PERCENT=[60.000000..100.000000]] [FinAidMOTHER_WAG=[23139.000000..533395.000000]] [PercentileRankHSGPA=[49.500000..98.400002]]   
5 worth=1.113224    [FinAidSTUDENT_TA=2.0] [HS_PERCENT=[60.000000..100.000000]]   
6 worth=1.112139    [FinAidSTUDENT_AG=[5123.000000..724724.000000]]   7 worth=1.097397    [FinAidPARENT_AGI=[67908.000000..999999.000000]]   8 worth=1.092824    [FinAidSTUDENT_WA=[3878.000000..561500.000000]]   9 worth=1.090565    [FinAidFATHER_WAG=[43669.000000..999999.000000]]  10 worth=1.089154    [ACT1_MATH=[19.000000..510.000000]] [FinAidSTUDENT_MA=U]  

Class = NO
bestClass = 20.00%

 1 worth=1.073376 [PercentileRankHSGPA=[0.000000..49.500000)]  

Class = YES
bestClass = 10.00%

1 worth=1.090117 [ENG10=Y]