biogeme 3.2.8 [2021-07-26]
Python package
Home page: http://biogeme.epfl.ch
Submit questions to https://groups.google.com/d/forum/biogeme
Michel Bierlaire, Transport and Mobility Laboratory, Ecole Polytechnique Fédérale de Lausanne (EPFL)
This file has automatically been generated on 2021-07-26 18:03:45.985105
Report file: | 01logit_allAlgos_LS-BFGS.html |
Database name: | swissmetro |
Number of estimated parameters: | 4 |
Sample size: | 6768 |
Excluded observations: | 3960 |
Init log likelihood: | -6964.663 |
Final log likelihood: | -5331.252 |
Likelihood ratio test for the init. model: | 3266.822 |
Rho-square for the init. model: | 0.235 |
Rho-square-bar for the init. model: | 0.234 |
Akaike Information Criterion: | 10670.5 |
Bayesian Information Criterion: | 10697.78 |
Final gradient norm: | 1.3292E-02 |
Nbr of threads: | 36 |
Algorithm: | Inverse BFGS with line search |
Relative gradient: | 1.5218999940875766e-06 |
Cause of termination: | Relative gradient = 1.5e-06 <= 6.1e-06 |
Number of iterations: | 20 |
Number of function evaluations: | 80 |
Number of gradient evaluations: | 21 |
Optimization time: | 0:00:00.183330 |
Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|
ASC_CAR | -0.155 | 0.0432 | -3.58 | 0.000349 | 0.0582 | -2.66 | 0.00786 |
ASC_TRAIN | -0.701 | 0.0549 | -12.8 | 0 | 0.0826 | -8.49 | 0 |
B_COST | -1.08 | 0.0518 | -20.9 | 0 | 0.0682 | -15.9 | 0 |
B_TIME | -1.28 | 0.0569 | -22.5 | 0 | 0.104 | -12.3 | 0 |
Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
---|---|---|---|---|---|---|---|---|---|
ASC_TRAIN | ASC_CAR | 0.00138 | 0.58 | -11.9 | 0 | 0.0039 | 0.812 | -11.2 | 0 |
B_COST | ASC_CAR | 0.000485 | 0.216 | -15.5 | 0 | 2.86e-05 | 0.00721 | -10.4 | 0 |
B_COST | ASC_TRAIN | 8.22e-06 | 0.00289 | -5.08 | 3.85e-07 | -0.000831 | -0.147 | -3.34 | 0.000841 |
B_TIME | ASC_CAR | -0.00144 | -0.585 | -12.6 | 0 | -0.00482 | -0.796 | -7.27 | 3.71e-13 |
B_TIME | ASC_TRAIN | -0.00225 | -0.722 | -5.56 | 2.68e-08 | -0.0076 | -0.883 | -3.18 | 0.00147 |
B_TIME | B_COST | 0.00055 | 0.187 | -2.8 | 0.00519 | 0.0022 | 0.309 | -1.84 | 0.0657 |
Smallest eigenvalue: 159.083
Largest eigenvalue: 1469.54
Condition number: 9.23759