Created
August 28, 2013 05:17
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Orb Python | |
Optimization terminated successfully. | |
Current function value: 4191.796170 | |
Iterations 14 | |
INFO:q2Logger: Logit Regression Results | |
============================================================================== | |
Dep. Variable: offer No. Observations: 380583 | |
Model: Logit Df Residuals: 380567 | |
Method: MLE Df Model: 15 | |
Date: Tue, 27 Aug 2013 Pseudo R-squ.: 0.1061 | |
Time: 21:45:07 Log-Likelihood: -4191.8 | |
converged: True LL-Null: -4689.4 | |
LLR p-value: 1.393e-202 | |
============================================================================================ | |
coef std err z P>|z| [95.0% Conf. Int.] | |
-------------------------------------------------------------------------------------------- | |
base_likelihood -7.5562 0.114 -66.162 0.000 -7.780 -7.332 | |
poster grad 3 yrs after 0.8861 0.146 6.071 0.000 0.600 1.172 | |
poster grad 2 yrs after 0.7646 0.196 3.900 0.000 0.380 1.149 | |
poster grad 1 yrs after 0.9522 0.181 5.261 0.000 0.597 1.307 | |
poster grad 0 yrs after 0.8910 0.176 5.069 0.000 0.546 1.236 | |
poster grad 1 yrs before 0.1861 0.218 0.852 0.394 -0.242 0.614 | |
poster grad 2 yrs before 0.2322 0.209 1.112 0.266 -0.177 0.641 | |
poster grad 3 yrs before 0.0842 0.154 0.545 0.586 -0.218 0.387 | |
dist < 50 1.5074 0.126 11.948 0.000 1.260 1.755 | |
50 < dist < 200 1.5889 0.209 7.610 0.000 1.180 1.998 | |
dist > 200 0.9280 0.102 9.134 0.000 0.729 1.127 | |
accepts 2.3180 0.421 5.510 0.000 1.493 3.142 | |
likes 0.0986 0.016 6.023 0.000 0.067 0.131 | |
comments -1.3517 0.687 -1.966 0.049 -2.699 -0.004 | |
praises 3.6987 0.209 17.726 0.000 3.290 4.108 | |
words 0.6834 0.041 16.496 0.000 0.602 0.765 | |
============================================================================================ | |
INFO:q2Logger:saved model: 89.933 |
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