Hosmer–Lemeshow test for large data sets gives low p value despite perfectly fitting model.
Increasing the number of groups from 10 to 13, would results in a perfect calibration (p value > 0.05)
My question, is there a methodology for how to increase the group numbers or just increase to any number would work.
Thanks
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