Table 4.

AUC of different algorithms across five spatial and non-spatial models with outcome variable $d_i^{\mathrm{day}}$. The respectively best performing learning algorithm (LM, RF, GB, GP) is highlighted in bold.

	New York					Los Angeles
	NS1	NS2	S1	S2	S3	NS1	NS2	S1	S2	S3
LM	0.660	0.680	0.680	0.680	0.680	0.620	0.630	0.640	0.630	0.640
RF	0.670	0.670	0.650	0.660	0.630	0.600	0.630	0.610	0.610	0.610
GB	0.670	0.670	0.640	0.660	0.650	0.620	0.620	0.590	0.610	0.590
GP	—	—	—	—	0.688	—	—	—	—	0.643