[16] He, H. and Garcia, E. A. (2009). Learning from imbalanced
data, Knowledge and Data Engineering, IEEE Transactions on,
21(9):1263-1284.
[17] Hothorn, T., Hornik, K. and Zeileis, A. (2006). Unbiased
recursive partitioning: A conditional inference framework,
Journal of Computational...
[18] Hyafil, L. and Rivest, R. L. (1976). Constructing optimal binary
decision trees is NP-complete, Information Processing Letters,
5(1):15-17.
[19] Kuhn, M. and Johnson, K. (2013). Applied predictive modeling,
Springer.
[20] Kumar, M. and Sheshadri, H. (2012). On the classification
of imbalanced datasets, International Journal of Computer
Applications, 44.
[21] Loh, W.-Y. (2002). Regression tress with unbiased variable
selection and interaction detection, Statistica Sinica, pp.
361-386.
[22] Loh, W.-Y. (2011). Classification and regression trees, WIREs
Data Mining Knowl. Discov., 1(1):14-23.
[23] Malley, J. D., Kruppa, J., Dasgupta, A., Malley, K. G. and
Ziegler, A. (2012). Probability machines: consistent probability
estimation...
[24] Mathijssen, M. (2005). Drink driving policy and road safety in
the Netherlands: a retrospective analysis, Transportation
research part...
[25] Meinshausen, N. (2006). Quantile regression forests, The
Journal of Machine Learning Research, 7:983-999.
[26] R Core Team (2016). R: A Language and Environment for
Statistical Computing, R Foundation for Statistical Computing,
Vienna, Austria.
[27] Raileanu, L. E. and Stoffel, K. (2004). Theoretical comparison
between the gini index and information gain criteria, Annals of
Mathematics...
[28] Segal, M. R. (2004). Machine learning benchmarks and random
forest regression, Center for Bioinformatics & Molecular
Biostatistic.
[29] Sela, R. J. and Simonoff, J. S. (2011). RE-EM trees: a data
mining approach for longitudinal and clustered data, Mach.
Learn., 86(2):169-207.
[30] Strobl, C., Boulesteix, A.-L. and Augustin, T. (2007). Unbiased
split selection for classification trees based on the Gini index,
Computational...
[31] Strobl, C., Boulesteix, A.-L., Zeileis, A. and Hothorn, T.
(2007). Bias in random forest variable importance measures:
Illustrations,...
[32] Vanlaar, W., Robertson, R., Marcoux, K., Mayhew, D., Brown,
S. and Boase, P. (2012). Trends in alcohol-impaired driving in
Canada, Accident...
[33] Wager, S., Hastie, T. Efron, B. (2014). Confidence intervals for
random forests: The jackknife and the infinitesimal jackknife,
The Journal...
[34] Williams, A. F. (2006). Alcohol-impaired driving and its
consequences in the United States: the past 25 years, Journal
of safety research,...
[35] Xu, B., Huang, J. Z., Williams, G., Wang, Q. and Ye, Y.
(2012). Classifying very high-dimensional data with random
forests built from...