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24 Page of 0 Table. SmartSteps data provided by the challenge organizers. All data refer to -hour intervals and Type Origin-based Gender-based to each Smartsteps cell. Data total # people # residents # workers # visitors # males # females Age-based # people aged up to # people aged to # people aged to # people aged to # people aged to # people aged over
25 Page of Table : Metrics Comparison F 0 Model Accuracy Accuracy CI, % F-score, % AUC Smartsteps + Borough Profiles. (0., 0.). 0. Smartsteps. (0., 0.0). 0. Borough Profiles. (0., 0.). 0. Majority Classifiers (Baseline). (0., 0.) 0 0.
26 Page of 0 Base Feature Table : Top- Selected Features Ranked by Mean in Decrease Accuracy Temporal Resolution st order nd order 0 Mean Decrease Accuracy Mean Decrease age > daily entropy.empirical entropy.empirical...0. at home daily mean sd.... age < daily sd entropy.empirical.... age < daily mean entropy.empirical.0... age < daily mean sd....0 at home daily min entropy.empirical.... at home daily sd sd.... at home daily sd mean.... age > daily entropy.empirical sd.... at home daily sd median..0.. age to daily entropy.empirical max.... age to daily min sd..0.. at home daily min sd.... at home daily sd max.... at home monthly max at home monthly sd age to daily entropy.empirical entropy.empirical.... age < daily sd sd.... at home daily entropy.empirical entropy.empirical...0. Gini
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31 Page of Figure Legend F 0 Fig.. Sample visualization of the high-level information provided by the Smartsteps platform Fig.. Ground truth of crime hotspots Fig.. Predicted crime hotspots
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