MNLogit不返回所有值的结果

时间:2018-12-18 19:31:33

标签: python logistic-regression p-value mlogit

我有一个看起来像这样的数据框:

df: 

     ColA    ColB
       A      0.78
       B      0.91
       C      0.36
       D      0.67
       E      0.88

代码:

  p1_logit_model=sm.MNLogit( df["ColA"], df["ColB"].astype(float) )
  res_p1 = p1_logit_model.fit(full_output= True)
  f.write(str(res_p1.summary2()))

当我看到输出时,我发现,它并没有返回所有类别的结果,即ColA有5个唯一的类别,但是我只有4个结果:

输出:

 ===============================================================
 Model:              MNLogit          Pseudo R-squared: 0.104   
 Dependent Variable: algorithm        AIC:              184.2255
 Date:               2018-12-18 19:14 BIC:              194.2622
 No. Observations:   55               Log-Likelihood:   -87.113 
 Df Model:           0                LL-Null:          -97.227 
 Df Residuals:       50               LLR p-value:      nan     
 Converged:          1.0000           Scale:            1.0000  
 No. Iterations:     9.0000                                     
 --------------------------------------------------------------
 algorithm = 0   Coef.  Std.Err.   t    P>|t|   [0.025 0.975]
 --------------------------------------------------------------
 ColB      0.2326   0.5804 0.4008 0.6886 -0.9050 1.3702
 --------------------------------------------------------------
 ColA = 1   Coef.  Std.Err.    t    P>|t|   [0.025  0.975]
 --------------------------------------------------------------
 ColB   -6.3891   3.9519 -1.6167 0.1059 -14.1346 1.3565
 --------------------------------------------------------------
 ColA = 2   Coef.  Std.Err.    t    P>|t|   [0.025 0.975]
 --------------------------------------------------------------
 ColB    -1.8283   0.9722 -1.8805 0.0600 -3.7339 0.0772
--------------------------------------------------------------
 ColA = 3   Coef.  Std.Err.    t    P>|t|   [0.025 0.975]
 --------------------------------------------------------------
ColB    -0.3208   0.6488 -0.4943 0.6211 -1.5925 0.9510
--------------------------------------------------------------
===============================================================

这里的结果应为ColA = 4,因为有5个唯一的类别。谁能帮我这个忙。

0 个答案:

没有答案