Abstract
In this paper, we propose to apply supervised machine learning methods to simplify the psychological assessment of professional drivers. The simplification comes from reducing the number of psychological tests used for drivers’ examinations in particular situations. We propose to perform recursive test elimination, and we describe the comparison of applying the support vector machine and random forest classifiers to discover the optimal psychological test combination.
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