How to make more sense of the modeling ?

[Ivy]

Dear all, 

I am modeling a logistic regression model , with 14 explaination varibles , and 50,000 records.  

Model fitting result:

All 14 variables are significant.

R-Square =  0.1927

Hosmer and Lemeshow Goodness-of-Fit Test

Chi-Square DF Pr > ChiSq

374.8494 8 <.0001

We can see the model only explain 19.27%  of the data.  Is this model useful at all ?   

Thank you,

Ivy  

[Reeza]

R squared isn't a good measure of model accuracy for LOGISTIC regression. 

There is a pseudo-R squared value and other metrics that are more important. The documentation has examples or google search for evaluating LOGISTIC regression models.