Coefficients of Bias-Reduced Logistic Regression
VariableParameterS.E.t-stat2-sided p-value
(Intercept)-1.240442484107330.273182281933158-4.540713531380631.85705205157927e-05
correct1.859481692513550.7503526154833442.478143814179620.0152088291055252


Summary of Bias-Reduced Logistic Regression
Deviance92.7694532942812
Penalized deviance89.4576017430954
Residual Degrees of Freedom84
ROC Area0.606625258799172
Hosmer–Lemeshow test
Chi-squareNA
Degrees of FreedomNA
P(>Chi)NA


Fit of Logistic Regression
IndexActualFittedError
110.2243589743589740.775641025641026
200.224358974358974-0.224358974358974
300.224358974358974-0.224358974358974
400.224358974358974-0.224358974358974
500.224358974358974-0.224358974358974
600.224358974358974-0.224358974358974
700.224358974358974-0.224358974358974
810.2243589743589740.775641025641026
900.224358974358974-0.224358974358974
1000.224358974358974-0.224358974358974
1110.2243589743589740.775641025641026
1200.224358974358974-0.224358974358974
1300.224358974358974-0.224358974358974
1410.2243589743589740.775641025641026
1500.224358974358974-0.224358974358974
1610.2243589743589740.775641025641026
1710.650.35
1810.2243589743589740.775641025641026
1900.224358974358974-0.224358974358974
2010.650.35
2100.224358974358974-0.224358974358974
2200.224358974358974-0.224358974358974
2300.224358974358974-0.224358974358974
2400.224358974358974-0.224358974358974
2510.2243589743589740.775641025641026
2600.224358974358974-0.224358974358974
2700.224358974358974-0.224358974358974
2800.224358974358974-0.224358974358974
2900.224358974358974-0.224358974358974
3000.224358974358974-0.224358974358974
3100.224358974358974-0.224358974358974
3200.224358974358974-0.224358974358974
3300.224358974358974-0.224358974358974
3410.2243589743589740.775641025641026
3500.224358974358974-0.224358974358974
3600.224358974358974-0.224358974358974
3710.2243589743589740.775641025641026
3800.224358974358974-0.224358974358974
3900.224358974358974-0.224358974358974
4010.2243589743589740.775641025641026
4100.65-0.65
4200.224358974358974-0.224358974358974
4300.224358974358974-0.224358974358974
4410.2243589743589740.775641025641026
4500.224358974358974-0.224358974358974
4600.224358974358974-0.224358974358974
4700.224358974358974-0.224358974358974
4800.224358974358974-0.224358974358974
4900.224358974358974-0.224358974358974
5000.224358974358974-0.224358974358974
5110.2243589743589740.775641025641026
5210.650.35
5300.224358974358974-0.224358974358974
5400.65-0.65
5500.224358974358974-0.224358974358974
5610.2243589743589740.775641025641026
5700.224358974358974-0.224358974358974
5800.224358974358974-0.224358974358974
5900.224358974358974-0.224358974358974
6010.650.35
6110.2243589743589740.775641025641026
6200.224358974358974-0.224358974358974
6300.224358974358974-0.224358974358974
6410.2243589743589740.775641025641026
6500.224358974358974-0.224358974358974
6600.224358974358974-0.224358974358974
6710.650.35
6800.224358974358974-0.224358974358974
6900.224358974358974-0.224358974358974
7000.224358974358974-0.224358974358974
7100.224358974358974-0.224358974358974
7200.224358974358974-0.224358974358974
7300.224358974358974-0.224358974358974
7400.224358974358974-0.224358974358974
7500.224358974358974-0.224358974358974
7610.2243589743589740.775641025641026
7700.224358974358974-0.224358974358974
7800.224358974358974-0.224358974358974
7910.650.35
8010.2243589743589740.775641025641026
8100.224358974358974-0.224358974358974
8200.224358974358974-0.224358974358974
8300.224358974358974-0.224358974358974
8400.65-0.65
8500.224358974358974-0.224358974358974
8600.224358974358974-0.224358974358974


Type I & II errors for various threshold values
ThresholdType IType II
0.0101
0.0201
0.0301
0.0401
0.0501
0.0601
0.0701
0.0801
0.0901
0.101
0.1101
0.1201
0.1301
0.1401
0.1501
0.1601
0.1701
0.1801
0.1901
0.201
0.2101
0.2201
0.230.7391304347826090.0476190476190476
0.240.7391304347826090.0476190476190476
0.250.7391304347826090.0476190476190476
0.260.7391304347826090.0476190476190476
0.270.7391304347826090.0476190476190476
0.280.7391304347826090.0476190476190476
0.290.7391304347826090.0476190476190476
0.30.7391304347826090.0476190476190476
0.310.7391304347826090.0476190476190476
0.320.7391304347826090.0476190476190476
0.330.7391304347826090.0476190476190476
0.340.7391304347826090.0476190476190476
0.350.7391304347826090.0476190476190476
0.360.7391304347826090.0476190476190476
0.370.7391304347826090.0476190476190476
0.380.7391304347826090.0476190476190476
0.390.7391304347826090.0476190476190476
0.40.7391304347826090.0476190476190476
0.410.7391304347826090.0476190476190476
0.420.7391304347826090.0476190476190476
0.430.7391304347826090.0476190476190476
0.440.7391304347826090.0476190476190476
0.450.7391304347826090.0476190476190476
0.460.7391304347826090.0476190476190476
0.470.7391304347826090.0476190476190476
0.480.7391304347826090.0476190476190476
0.490.7391304347826090.0476190476190476
0.50.7391304347826090.0476190476190476
0.510.7391304347826090.0476190476190476
0.520.7391304347826090.0476190476190476
0.530.7391304347826090.0476190476190476
0.540.7391304347826090.0476190476190476
0.550.7391304347826090.0476190476190476
0.560.7391304347826090.0476190476190476
0.570.7391304347826090.0476190476190476
0.580.7391304347826090.0476190476190476
0.590.7391304347826090.0476190476190476
0.60.7391304347826090.0476190476190476
0.610.7391304347826090.0476190476190476
0.620.7391304347826090.0476190476190476
0.630.7391304347826090.0476190476190476
0.640.7391304347826090.0476190476190476
0.6510
0.6610
0.6710
0.6810
0.6910
0.710
0.7110
0.7210
0.7310
0.7410
0.7510
0.7610
0.7710
0.7810
0.7910
0.810
0.8110
0.8210
0.8310
0.8410
0.8510
0.8610
0.8710
0.8810
0.8910
0.910
0.9110
0.9210
0.9310
0.9410
0.9510
0.9610
0.9710
0.9810
0.9910