NewStock/main/train/catboost_info/learn_error.tsv

1	iter	Precision	CrossEntropy
2	0	0.625	0.6724952787
3	1	0.6610526316	0.6531548815
4	2	0.6608527132	0.6350465988
5	3	0.706744868	0.618008187
6	4	0.6714975845	0.6024762887
7	5	0.6420168067	0.5879065555
8	6	0.6263736264	0.5743292798
9	7	0.6439688716	0.5617055549
10	8	0.6666666667	0.5498913927
11	9	0.6456211813	0.5390559395
12	10	0.6502347418	0.5290345558
13	11	0.6625766871	0.5196715586
14	12	0.6554934823	0.5109634681
15	13	0.6492146597	0.5028802201
16	14	0.6483300589	0.4953289982
17	15	0.6659142212	0.4882966243
18	16	0.6694915254	0.4819027274
19	17	0.652173913	0.4758984087
20	18	0.6552380952	0.4702792469
21	19	0.6623616236	0.4649397326
22	20	0.6696113074	0.4600861214
23	21	0.6750448833	0.4555856349
24	22	0.6780821918	0.4513341042
25	23	0.6699834163	0.4475095463
26	24	0.6772575251	0.4437869897
27	25	0.6731391586	0.4402876889
28	26	0.6736	0.4370960458
29	27	0.6745283019	0.4341093749
30	28	0.6884422111	0.4312285273
31	29	0.690821256	0.4286504028
32	30	0.7	0.4262570842
33	31	0.6980854197	0.4239364156
34	32	0.6971935007	0.4217658394
35	33	0.6998514116	0.4197961278
36	34	0.6981981982	0.4178424181
37	35	0.7034161491	0.4159972699
38	36	0.707165109	0.4143113417
39	37	0.7104	0.4126588434
40	38	0.7106518283	0.4112159095
41	39	0.7081339713	0.409833332
42	40	0.7125	0.4085317621
43	41	0.7115384615	0.4072980218
44	42	0.7117263844	0.4061158525
45	43	0.7138263666	0.4050283823
46	44	0.7078651685	0.4039969044
47	45	0.7123966942	0.4029488541
48	46	0.7119205298	0.4020060852
49	47	0.7152209493	0.4011418993
50	48	0.7145187602	0.4003109723
51	49	0.7149837134	0.3994980722
52	50	0.7171052632	0.3987265888
53	51	0.7159863946	0.3980214232