biogeme 3.2.6 [2020-06-02]
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 2020-06-02 10:38:18.230191
If you drag this HTML file into the Calc application of OpenOffice, or the spreadsheet of LibreOffice, you will be able to perform additional calculations.
| Report file: | 07discreteMixture.html |
| Database name: | swissmetro |
| Number of estimated parameters: | 5 |
| Sample size: | 6768 |
| Excluded observations: | 3960 |
| Init log likelihood: | -6964.663 |
| Final log likelihood: | -5208.498 |
| Likelihood ratio test for the init. model: | 3512.33 |
| Rho-square for the init. model: | 0.252 |
| Rho-square-bar for the init. model: | 0.251 |
| Akaike Information Criterion: | 10427 |
| Bayesian Information Criterion: | 10461.1 |
| Final gradient norm: | 2.5569E-02 |
| Nbr of threads: | 36 |
| Algorithm: | BFGS with trust region for simple bound constraints |
| Proportion analytical hessian: | 0.0% |
| Relative projected gradient: | 2.766285e-06 |
| Number of iterations: | 25 |
| Number of function evaluations: | 76 |
| Number of gradient evaluations: | 26 |
| Number of hessian evaluations: | 0 |
| Cause of termination: | Relative gradient = 2.8e-06 <= 6.1e-06 |
| Optimization time: | 0:00:00.189942 |
| Name | Value | Std err | t-test | p-value | Rob. Std err | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|
| ASC_CAR | 0.125 | 0.0505 | 2.47 | 0.0135 | 0.0507 | 2.46 | 0.014 |
| ASC_TRAIN | -0.398 | 0.0608 | -6.53 | 6.44e-11 | 0.062 | -6.41 | 1.47e-10 |
| B_COST | -1.26 | 0.0612 | -20.7 | 0 | 0.0856 | -14.8 | 0 |
| B_TIME | -2.8 | 0.176 | -15.9 | 0 | 0.172 | -16.3 | 0 |
| PROB_CLASS1 | 0.251 | 0.0219 | 11.5 | 0 | 0.0217 | 11.5 | 0 |
| Coefficient1 | Coefficient2 | Covariance | Correlation | t-test | p-value | Rob. cov. | Rob. corr. | Rob. t-test | Rob. p-value |
|---|---|---|---|---|---|---|---|---|---|
| ASC_TRAIN | ASC_CAR | 0.00194 | 0.63 | -10.7 | 0 | 0.00209 | 0.664 | -11 | 0 |
| B_COST | ASC_CAR | 0.000251 | 0.0814 | -18.3 | 0 | 0.00027 | 0.0622 | -14.4 | 0 |
| B_COST | ASC_TRAIN | -0.000143 | -0.0385 | -9.85 | 0 | -0.000288 | -0.0542 | -7.99 | 1.33e-15 |
| B_TIME | ASC_CAR | -0.00454 | -0.512 | -14.2 | 0 | -0.00469 | -0.539 | -14.4 | 0 |
| B_TIME | ASC_TRAIN | -0.00435 | -0.407 | -11.5 | 0 | -0.00438 | -0.412 | -11.7 | 0 |
| B_TIME | B_COST | 0.00284 | 0.264 | -9.02 | 0 | 0.00363 | 0.247 | -8.92 | 0 |
| PROB_CLASS1 | ASC_CAR | 1.5e-05 | 0.0136 | 2.3 | 0.0212 | 5.41e-05 | 0.049 | 2.33 | 0.02 |
| PROB_CLASS1 | ASC_TRAIN | -0.00027 | -0.203 | 9.43 | 0 | -0.0003 | -0.222 | 9.24 | 0 |
| PROB_CLASS1 | B_COST | -0.000117 | -0.0871 | 22.7 | 0 | 4.35e-05 | 0.0234 | 17.2 | 0 |
| PROB_CLASS1 | B_TIME | -0.00242 | -0.629 | 16 | 0 | -0.00225 | -0.604 | 16.4 | 0 |
Smallest eigenvalue: 30.5689
Largest eigenvalue: 6971.46
Condition number: 228.057