. gen xlenage=xlength*xage
. gen xlenhome=xlength*xhome
. logit Y xlength xlenage xlenhome
Iteration 0: log likelihood = -15713.183
Iteration 1: log likelihood = -15707.576
Iteration 2: log likelihood = -15707.57
Iteration 3: log likelihood = -15707.57
Logistic regression Number of obs = 38708
LR chi2(3) = 11.23
Prob > chi2 = 0.0106
Log likelihood = -15707.57 Pseudo R2 = 0.0004
------------------------------------------------------------------------------
Y | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
xlength | -.2152028 .1106373 -1.95 0.052 -.432048 .0016423
xlenage | .0178028 .0074341 2.39 0.017 .0032322 .0323734
xlenhome | .026961 .0419897 0.64 0.521 -.0553373 .1092592
_cons | -1.789713 .017837 -100.34 0.000 -1.824673 -1.754753
------------------------------------------------------------------------------
然后用lroc,做ROC评估时,效果好差啊,基本就是贴着45度线,为什么 啊。。


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