Held-out portion of the Jobs benchmark; see jobs_train for details.

jobs_test

Format

A data frame with 321 rows and 20 columns; same columns as jobs_train.

References

LaLonde, R. J. (1986). Evaluating the econometric evaluations of training programs with experimental data. The American Economic Review, 76(4), 604-620.

Shalit, U., Johansson, F. D., & Sontag, D. (2017). Estimating individual treatment effect: generalization bounds and algorithms. Proceedings of the 34th International Conference on Machine Learning.

Examples

data(jobs_test)
head(jobs_test)
#>           x0         x1 x2 x3 x4 x5          x6           x7         x8
#> 1 -0.7083724 -0.5796108  1  0  1  1 -0.24937466 -0.270449270 -0.7206175
#> 2  2.0202470 -0.2388879  1  0  0  1 -1.14741063 -1.110467447  2.3028862
#> 3  1.1734340 -2.6239482  0  1  1  1  0.03040097  0.907637879  1.1270059
#> 4 -0.6142821  0.1018350  1  0  1  0  0.12433686  0.139177844 -0.6533112
#> 5 -0.4261014  0.1018350  1  0  1  0  0.26885363  0.627544969 -0.5107803
#> 6 -0.8024627  0.1018350  1  0  1  0 -0.54911124 -0.004459546 -0.7852843
#>           x9         x10         x11        x12 x13 x14         x15 x16 t y e
#> 1 -0.7018889 -0.67072967 -0.36375256 -0.3548562   0   0 -0.37381055   0 0 1 1
#> 2  2.5679112 -0.36134842 -0.55805685 -0.5188151   1   1 -0.97998113   0 0 1 1
#> 3  1.0386049 -1.90825467 -0.22382597  0.4275207   0   0 -0.66197394   0 0 1 0
#> 4 -0.6569127 -0.02250229 -0.16838709 -0.1559618   0   0  0.05012804   0 0 1 0
#> 5 -0.5560332 -0.02250229 -0.07479389  0.1830657   0   0  0.16718590   0 0 1 0
#> 6 -0.7434072 -0.02250229 -0.47181222 -0.2345824   0   0 -0.49536159   0 0 1 0