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Table 2 Formulae used to train the behavioral classification models

From: Comparing the accuracy of machine learning methods for classifying wild red deer behavior based on accelerometer data

\(behavior \sim {x}_{minmax}+{y}_{minmax}\)

\(behavior \sim {x}_{scale}+{y}_{scale}\)

\(behavior \sim {x}_{log}+{y}_{log}\)

\(behavior \sim {x}_{minmax}\)

\(behavior \sim {y}_{minmax}\)

\(behavior \sim sum{\left(x, y\right)}_{minmax}\)

\(behavior \sim diff{\left(x, y\right)}_{minmax}\)

\(behavior \sim ratio{\left(x, y\right)}_{minmax}\)

\(behavior \sim {x}_{minmax}+{y}_{minmax}+ratio{\left(x, y\right)}_{minmax}\)