Table 3. AUC of Validation Results by DeepSnap-DL.

learning rate	max. epoch	145°	105°	85°	65°
0.001	15	0.812	0.779	0.799	0.500
	30	0.771	0.787	0.798	0.500
	60	0.500	0.789	0.500	0.820
	100	0.500	0.791	0.500	0.788
	300	0.818	0.777	0.500	0.782
0.0001	15	0.850	0.793	0.809	0.790
	30	0.831	0.803	0.797	0.770
	60	0.801	0.840	0.817	0.791
	100	0.801	0.813	0.806	0.791
	300	0.814	0.820	0.842	0.802
0.00001	15	0.879	0.882	0.873	0.831
	30	0.887	0.868	0.833	0.837
	60	0.879	0.824	0.830	0.860
	100	0.868	0.841	0.839	0.855
	300	0.867	0.848	0.837	0.857
0.000001	15	0.740	0.851	0.864	0.875
	30	0.847	0.870	0.883	0.844
	60	0.867	0.884	0.893	0.887
	100	0.877	0.889	0.893	0.879
	300	0.897	0.897	0.891	0.863
0.0000001	15	0.644	0.625	0.670	0.701
	30	0.650	0.661	0.728	0.820
	60	0.666	0.729	0.828	0.856
	100	0.689	0.826	0.850	0.871
	300	0.844	0.869	0.883	0.844