NewStock/main/train/catboost_info/learn_error.tsv

1	iter	Logloss
2	0	0.6886838268
3	1	0.6843968462
4	2	0.6801027346
5	3	0.6758168632
6	4	0.6717718601
7	5	0.6679165408
8	6	0.6640845689
9	7	0.6602369616
10	8	0.6564785179
11	9	0.6528829244
12	10	0.6493499249
13	11	0.6457332555
14	12	0.6422342734
15	13	0.6387583745
16	14	0.6354923903
17	15	0.6321981991
18	16	0.6289736802
19	17	0.6258936822
20	18	0.6226863304
21	19	0.6197534417
22	20	0.6168523518
23	21	0.6140021824
24	22	0.6112441873
25	23	0.6084877769
26	24	0.6058010916
27	25	0.603173831
28	26	0.6005779994
29	27	0.5980649928
30	28	0.5956113581
31	29	0.5932260751
32	30	0.5908744397
33	31	0.5885746226
34	32	0.5863624373
35	33	0.5842083562
36	34	0.5819336824
37	35	0.5798030014
38	36	0.5776827792
39	37	0.5755271134
40	38	0.5734160822
41	39	0.5714517905
42	40	0.569499014
43	41	0.5676283229
44	42	0.56578605
45	43	0.5639335825
46	44	0.5622152828
47	45	0.5605310005
48	46	0.5587373239
49	47	0.5570698919
50	48	0.5553044222
51	49	0.5537139518
52	50	0.5520974401
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54	52	0.548875932
55	53	0.5474346309
56	54	0.545967183
57	55	0.5445509723
58	56	0.5431658739
59	57	0.5417957768
60	58	0.5404452768
61	59	0.5390984214
62	60	0.5377009626
63	61	0.5363790921
64	62	0.5350427483
65	63	0.5337339776
66	64	0.5324769197
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70	68	0.5275968536
71	69	0.5265198659
72	70	0.5253667616
73	71	0.5243507305
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75	73	0.5223861747
76	74	0.5213981392
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78	76	0.5193723098
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80	78	0.5173886853
81	79	0.5165435333
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86	84	0.5121556626
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96	94	0.5045700538
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100	98	0.5017356781
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102	100	0.5004138604
103	101	0.4997979559
104	102	0.4991737583
105	103	0.4986000057
106	104	0.49795806
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108	106	0.4967568349
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110	108	0.495588201
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115	113	0.492908224
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118	116	0.4914269367
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133	131	0.4845467656
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140	138	0.4819065108
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154	152	0.4771279686
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212	210	0.4618249599
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215	213	0.4612028752
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233	231	0.4577189475
234	232	0.4575321689
235	233	0.4573794605
236	234	0.4572000241
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240	238	0.4564378027
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