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1,001 questions about the ASTB (post your scores & ask your questions here!)

57 percent

These are my trained model weights

GPA : 0.488
FOFAR : 0.316
AQR: 0.225
PFAR : 0.128
Stem vs non stem : 0.103

According to this GPA is the single biggest factor for selection and then FOFAR ( I believe this is because of way data is, most selected have a higher Fofar than a pfar )
If Others can help me improve this model that would be appreciated
 
57 percent

These are my trained model weights

GPA : 0.488
FOFAR : 0.316
AQR: 0.225
PFAR : 0.128
Stem vs non stem : 0.103

According to this GPA is the single biggest factor for selection and then FOFAR ( I believe this is because of way data is, most selected have a higher Fofar than a pfar )
If Others can help me improve this model that would be appreciated
O lord. I have a feeling PFAR should be weighted heavier no?
 
I do not train them myself man, the model trained by looking at the data, Maybe I should remove FOFAR from the consideration altogether but we know Navy does care about that.

Any Data science people here who can help us
 
if I remove the FOFAR from the model parameters then I get these weights
Predictor influence on Selection:
GPA 0.482
AQR 0.410
PFAR 0.219
FieldType 0.091
dtype: float64


0.5727247863824313

you still only have a 57% chance of selection
Get that GPA up!!
 
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