【求助】SPSS做Logistic回归模型拟合的问题
我在做SPSS多元Logistic回归分析时出现了如下结果:
Classification Table(a)(,)(b)
Predicted
因变量
Observed 0 1 Percentage Correct
Step 0 因变量 0 659 0 100.0
1 20 0 .0
Overall Percentage 97.1
a. Constant is included in the model.
b. The cut value is .500
Omnibus Tests of Model Coefficients
Chi-square df Sig.
Step 1 Step 17.851 13 .163
Block 17.851 13 .163
Model 17.851 13 .163
Model Summary
Step -2 Log likelihood Cox & Snell R Square Nagelkerke R Square
1 162.549a .026 .111
a. Estimation terminated at iteration number 20 because maximum iterations has been reached. Final solution cannot be found.
Hosmer and Lemeshow Test
Step Chi-square df Sig.
1 6.401 8 .602
(1)表1中虽然总的正确率为97.1%,但观察值是阳性(1)的预测值全成阴性(0)了,我感觉有点不正常
(2)P值=0.163>0.05 是否说明我的模型拟合的不好?
(3)如果模型拟合不好,该怎么处理才能筛选危险因素?
多谢啦!
最后编辑于 2010-04-02 · 浏览 4244