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Comparing statistical and machine learning classifiers: alternatives for predictive modeling in human factors research.


INTRODUCTION

Background

As defined by dint of Clancy (1997), classification analysis seek fors to identify mathematical and/or statistical relationships between independent variables (discrete or continuous) that can effectively distinguish or characterize various horizontals within a nominal dependent variable (categorical variable). one time identified, these relationships can be used for descriptive assessment or predictive modeling. Researchers in the areas of human factors, ergonomics, safety, and psychology have for a certain quantity of time used multivariate classification analysis to expand the material substance of knowledge in their respective fields. Traditionally, discriminant analysis and logistic regression have been the greatest in quantity commonly used statistical methods for carrying on the outside classification in these ...


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