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Here we show that our psychologically inspired and mathematically defined model to describe pedestrians' interests in locations is able to improve the exactness of pedestrian destination choice models.
To improve the exactness of SNR classification, p k,l is calculated by using the summary statistic sequence ( {boldsymbol{T}}_{mathbf{k}}=left{{widehat{T}}_k^{(0)},{widehat{T}}_k^{left -1right)}_k^{left -1rightT}}_k^{left(-S+1right)}right} ) obtained from the past S tests before the current moment.
To improve this situation, we used instead the Precision parameter, which is a better characteristic for testing exactness or fidelity in cases with significant differences in sizes of positive and negative numbers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com