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Table 6 AUC comparison with and without dynamic features for New York City. “wod” and “wd” represent without and with dynamic features, respectively

From: Crime event prediction with dynamic features

Time interval Theft Drug Offence Assault Fraud Unlawful Entry Traffic Offence
wod wd wod wd wod wd wod wd wod wd wod wd
(a) Random Forest
[9–12) 0.64 0.65 0.75 0.76 0.65 0.66 0.69 0.71 0.67 0.68 0.8 0.8
[12–15) 0.67 0.68 0.76 0.77 0.65 0.66 0.71 0.72 0.64 0.66 0.83 0.82
[15–18) 0.68 0.69 0.76 0.77 0.66 0.67 0.7 0.72 0.64 0.66 0.8 0.8
[18–21) 0.66 0.67 0.76 0.77 0.65 0.66 0.72 0.73 0.67 0.68 0.8 0.82
[21–24) 0.62 0.64 0.75 0.7 0.66 0.67 0.72 0.73 0.65 0.65 0.8 0.8
(b) Neural Network
[9–12) 0.66 0.66 0.74 0.71 0.66 0.66 0.7 0.68 0.66 0.68 0.74 0.74
[12–15) 0.69 0.69 0.76 0.77 0.66 0.66 0.72 0.73 0.65 0.66 0.75 0.76
[15–18) 0.7 0.7 0.76 0.76 0.68 0.68 0.68 0.7 0.65 0.65 0.73 0.72
[18–21) 0.68 0.68 0.77 0.76 0.67 0.67 0.68 0.69 0.65 0.65 0.75 0.74
[21–24) 0.65 0.65 0.77 0.77 0.67 0.68 0.68 0.66 0.65 0.65 0.74 0.74
(c) Support Vector Machine
[9–12) 0.65 0.66 0.74 0.74 0.68 0.68 0.69 0.68 0.68 0.69 0.81 0.8
[12–15) 0.68 0.68 0.76 0.76 0.67 0.67 0.7 0.71 0.66 0.66 0.79 0.77
[15–18) 0.68 0.69 0.75 0.76 0.67 0.68 0.73 0.73 0.67 0.67 0.8 0.78
[18–21) 0.67 0.67 0.77 0.77 0.67 0.67 0.72 0.73 0.66 0.66 0.83 0.8
[21–24) 0.64 0.64 0.77 0.77 0.68 0.68 0.72 0.71 0.67 0.68 0.79 0.78
(d) Logistic Regression
[9–12) 0.64 0.64 0.71 0.72 0.67 0.67 0.68 0.66 0.67 0.67 0.76 0.74
[12–15) 0.66 0.67 0.74 0.75 0.66 0.66 0.67 0.67 0.65 0.66 0.76 0.75
[15–18) 0.67 0.67 0.74 0.74 0.67 0.67 0.69 0.7 0.65 0.65 0.7 0.71
[18–21) 0.66 0.66 0.76 0.76 0.66 0.66 0.71 0.71 0.66 0.66 0.73 0.72
[21–24) 0.62 0.62 0.76 0.76 0.67 0.67 0.71 0.71 0.67 0.67 0.73 0.73
(e) Ensemble
[9–12) 0.66 0.67 0.76 0.76 0.69 0.69 0.72 0.72 0.7 0.69 0.85 0.79
[12–15) 0.69 0.69 0.78 0.78 0.68 0.67 0.75 0.75 0.68 0.68 0.83 0.83
[15–18) 0.71 0.71 0.78 0.77 0.68 0.68 0.74 0.74 0.69 0.7 0.83 0.83
[18–21) 0.69 0.69 0.79 0.79 0.68 0.68 0.72 0.74 0.67 0.67 0.84 0.84
[21–24) 0.66 0.66 0.78 0.78 0.69 0.69 0.74 0.74 0.71 0.71 0.83 0.83