detect_rep/detect_script/csv/20230329-132824_GCN_base_2250.0_100.csv

1	轮数	训练集acc	测试集acc	训练集loss	测试集loss	时间
2	1	0.4924	0.5187	0.693	0.6927	5.32
3	2	0.5573	0.576	0.6915	0.6914	6.56
4	3	0.5867	0.576	0.6892	0.6896	7.81
5	4	0.5747	0.5707	0.6864	0.6883	9.08
6	5	0.5707	0.568	0.6844	0.6877	10.33
7	6	0.5742	0.5733	0.6831	0.6868	11.57
8	7	0.5764	0.5733	0.6817	0.6855	12.82
9	8	0.5831	0.5827	0.68	0.6832	14.05
10	9	0.5987	0.5787	0.6763	0.6808	15.29
11	10	0.5991	0.5787	0.6735	0.6795	16.6
12	11	0.6036	0.5813	0.6714	0.6789	17.88
13	12	0.6053	0.5813	0.6699	0.6786	19.17
14	13	0.6036	0.5867	0.6688	0.6782	20.43
15	14	0.6044	0.5867	0.6678	0.6777	21.7
16	15	0.608	0.596	0.6668	0.6771	22.99
17	16	0.6098	0.5987	0.6658	0.6761	24.26
18	17	0.6133	0.6013	0.6646	0.6748	25.56
19	18	0.6209	0.608	0.6631	0.673	26.87
20	19	0.6236	0.616	0.6613	0.6708	28.15
21	20	0.636	0.62	0.6591	0.6682	29.4
22	21	0.6462	0.6187	0.6566	0.6654	30.67
23	22	0.6484	0.6187	0.6539	0.6626	31.93
24	23	0.6529	0.6293	0.6511	0.6601	33.16
25	24	0.6591	0.636	0.6484	0.6578	34.39
26	25	0.6591	0.6427	0.6459	0.6559	35.64
27	26	0.6613	0.644	0.6436	0.6541	36.9
28	27	0.6667	0.648	0.6414	0.6525	38.17
29	28	0.6698	0.656	0.6394	0.651	39.35
30	29	0.6756	0.6573	0.6374	0.6495	40.28
31	30	0.676	0.664	0.6356	0.6482	41.2
32	31	0.6782	0.6667	0.6338	0.6469	42.05
33	32	0.6791	0.6653	0.6322	0.6455	42.93
34	33	0.6809	0.6667	0.6304	0.6442	43.81
35	34	0.6822	0.672	0.6287	0.6428	44.67
36	35	0.6849	0.668	0.6269	0.6414	45.51
37	36	0.6884	0.6787	0.6248	0.6395	46.31
38	37	0.6938	0.6787	0.6219	0.6368	47.15
39	38	0.6996	0.6827	0.6158	0.6298	48.04
40	39	0.7236	0.712	0.6043	0.6213	48.92
41	40	0.7342	0.704	0.5968	0.6168	49.8
42	41	0.7436	0.7	0.5907	0.6129	50.63
43	42	0.7511	0.696	0.5854	0.6097	51.5
44	43	0.7542	0.7013	0.5806	0.6067	52.37
45	44	0.7609	0.6933	0.576	0.604	53.2
46	45	0.7622	0.692	0.5719	0.6017	54.05
47	46	0.7662	0.6947	0.568	0.5996	54.92
48	47	0.7649	0.692	0.5645	0.5978	55.79
49	48	0.7676	0.6907	0.5615	0.5962	56.64
50	49	0.7676	0.6947	0.5587	0.5948	57.52
51	50	0.7716	0.6947	0.5566	0.5937	58.4
52	51	0.7693	0.696	0.5549	0.593	59.22
53	52	0.7689	0.696	0.5535	0.5922	60.0
54	53	0.7658	0.6947	0.5525	0.5902	60.83
55	54	0.7658	0.7013	0.5512	0.5883	61.68
56	55	0.7658	0.708	0.5509	0.5857	62.52
57	56	0.7658	0.7173	0.5503	0.5838	63.38
58	57	0.7649	0.728	0.5494	0.582	64.24
59	58	0.7658	0.7227	0.5485	0.5804	65.11
60	59	0.7627	0.7267	0.5475	0.5791	65.95
61	60	0.7644	0.7253	0.5465	0.578	66.73
62	61	0.7662	0.7213	0.5456	0.5773	67.58
63	62	0.7644	0.724	0.5449	0.5765	68.43
64	63	0.7658	0.724	0.5442	0.5761	69.29
65	64	0.764	0.7227	0.5435	0.5753	70.13
66	65	0.7653	0.72	0.5428	0.5748	70.97
67	66	0.7653	0.7213	0.5421	0.5743	71.79
68	67	0.7662	0.72	0.5414	0.5737	72.62
69	68	0.7676	0.7173	0.5408	0.5733	73.45
70	69	0.7662	0.7187	0.5403	0.5729	74.28
71	70	0.7676	0.7213	0.54	0.5726	75.13
72	71	0.7667	0.72	0.5394	0.5722	75.98
73	72	0.7667	0.7213	0.5389	0.5719	76.84
74	73	0.7676	0.7227	0.5384	0.5716	77.68
75	74	0.7676	0.7253	0.538	0.5713	78.52
76	75	0.7662	0.7253	0.5377	0.5709	79.36
77	76	0.7667	0.7253	0.5374	0.5707	80.17
78	77	0.7667	0.7293	0.5369	0.5705	81.0
79	78	0.7671	0.7293	0.5366	0.5703	81.85
80	79	0.7671	0.728	0.5362	0.57	82.66
81	80	0.7676	0.728	0.5359	0.5698	83.56
82	81	0.768	0.724	0.5356	0.5696	84.4
83	82	0.768	0.724	0.5352	0.5694	85.27
84	83	0.7689	0.7227	0.5349	0.5692	86.1
85	84	0.7698	0.724	0.5346	0.5691	86.89
86	85	0.7702	0.7227	0.5342	0.5688	87.74
87	86	0.7698	0.7227	0.5339	0.5687	88.61
88	87	0.7702	0.7267	0.5337	0.5686	89.47
89	88	0.7707	0.7267	0.5333	0.5683	90.33
90	89	0.7707	0.7253	0.5331	0.5682	91.22
91	90	0.7724	0.7267	0.5328	0.5679	92.05
92	91	0.7711	0.7267	0.5327	0.5679	92.87
93	92	0.7702	0.728	0.5325	0.5677	93.77
94	93	0.7702	0.7293	0.5322	0.5675	94.63
95	94	0.7693	0.7293	0.5319	0.5674	95.5
96	95	0.7689	0.7293	0.5318	0.5673	96.36
97	96	0.7689	0.7293	0.5315	0.5671	97.21
98	97	0.7689	0.7293	0.5312	0.5669	98.07
99	98	0.7684	0.7293	0.5311	0.5668	98.94
100	99	0.7689	0.7307	0.5309	0.5667	99.74
101	100	0.7689	0.7293	0.5307	0.5666	100.56