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 18:41:36.861947

Report file: 11cnl_sparse.html
Database name: swissmetro

Estimation report

Number of estimated parameters: 7
Sample size: 6768
Excluded observations: 3960
Init log likelihood: -6964.663
Final log likelihood: -5214.049
Likelihood ratio test for the init. model: 3501.228
Rho-square for the init. model: 0.251
Rho-square-bar for the init. model: 0.25
Akaike Information Criterion: 10442.1
Bayesian Information Criterion: 10489.84
Final gradient norm: 3.4459E-02
Nbr of threads: 36
Algorithm: Newton with trust region for simple bound constraints
Proportion analytical hessian: 100.0%
Relative projected gradient: 4.549961e-06
Relative change: 5.586296310977623e-05
Number of iterations: 12
Number of function evaluations: 33
Number of gradient evaluations: 11
Number of hessian evaluations: 11
Cause of termination: Relative gradient = 4.5e-06 <= 6.1e-06
Optimization time: 0:00:00.518099

Estimated parameters

NameValueStd errt-testp-valueRob. Std errRob. t-testRob. p-value
ALPHA_EXISTING0.4950.028917.100.034814.20
ASC_CAR-0.240.0384-6.263.94e-100.0534-4.56.82e-06
ASC_TRAIN0.09810.05641.740.08160.071.40.161
B_COST-0.8190.0446-18.400.059-13.90
B_TIME-0.7770.0558-13.900.102-7.593.24e-14
MU_EXISTING2.510.17514.400.24810.10
MU_PUBLIC4.110.5687.234.67e-130.4968.282.22e-16

Correlation of coefficients

Coefficient1Coefficient2CovarianceCorrelationt-testp-valueRob. cov.Rob. corr.Rob. t-testRob. p-value
ASC_CARALPHA_EXISTING0.0003930.353-18.800.0008090.436-14.90
ASC_TRAINALPHA_EXISTING-0.000986-0.605-5.132.88e-07-0.00103-0.422-4.391.11e-05
ASC_TRAINASC_CAR0.000650.35.855.02e-090.001630.4365.054.39e-07
B_COSTALPHA_EXISTING-0.000393-0.305-21.90-0.000766-0.374-16.70
B_COSTASC_CAR-0.000103-0.0601-9.540-0.000832-0.264-6.479.92e-11
B_COSTASC_TRAIN0.001040.413-16.500.0008670.21-11.30
B_TIMEALPHA_EXISTING-0.000439-0.272-18.30-0.00137-0.385-10.60
B_TIMEASC_CAR-0.00132-0.614-6.312.73e-10-0.00454-0.829-3.580.00034
B_TIMEASC_TRAIN-0.000275-0.0875-10.60-0.0028-0.39-6.041.52e-09
B_TIMEB_COST0.001140.460.7930.4280.003070.5090.4760.634
MU_EXISTINGALPHA_EXISTING-0.000948-0.18811.10-0.000531-0.06157.991.33e-15
MU_EXISTINGASC_CAR-0.00258-0.38514.30-0.00353-0.26610.30
MU_EXISTINGASC_TRAIN0.001690.17213.900.004910.28210.10
MU_EXISTINGB_COST0.003610.4632100.005670.38714.40
MU_EXISTINGB_TIME0.006530.6712300.008540.336140
MU_PUBLICALPHA_EXISTING-0.00763-0.4646.215.29e-10-0.0124-0.7196.934.23e-12
MU_PUBLICASC_CAR0.001050.04817.671.8e-14-0.00845-0.3198.440
MU_PUBLICASC_TRAIN0.0230.7197.583.38e-140.01570.4518.560
MU_PUBLICB_COST0.009410.3718.9100.01310.44910.40
MU_PUBLICB_TIME0.00680.2148.7400.0230.45310.60
MU_PUBLICMU_EXISTING0.01520.1532.810.004980.02930.2373.20.00139

Smallest eigenvalue: 3.06725

Largest eigenvalue: 9108.88

Condition number: 2969.72