Advances, Systems and Applications
Table 1 CI for stock logistic regressive predictor: model summary
From: Tunable consistency guarantees of selective data consistency model
Step | −2 Log likelihood | Cox & Snell R Square | Nagelkerke R Square | ||
|---|---|---|---|---|---|
1 | 174.892 | .592 | .790 | ||
Hosmer and Lemeshow Test | |||||
Step | Chi-square | Degree of Freedom | Significance | ||
1 | 54.346 | 8 | .000 | ||
Classification Table | |||||
Observed | output | Percentage Correct | |||
0 | 1 | ||||
Step 1 | Output | 0 | 152 | 18 | 89.4 |
1 | 18 | 171 | 90.5 | ||
Overall Percentage | Â | Â | 90.0 | ||