NewStock/main/train/catboost_info/learn_error.tsv

1	iter	Logloss
2	0	0.6886803406
3	1	0.6844180806
4	2	0.6801499574
5	3	0.6759680397
6	4	0.6718936148
7	5	0.6678211971
8	6	0.6639305927
9	7	0.6601492243
10	8	0.6564090569
11	9	0.6525821031
12	10	0.6491580226
13	11	0.6455928018
14	12	0.6421620129
15	13	0.6387858948
16	14	0.6354497101
17	15	0.6321911738
18	16	0.62899333
19	17	0.6258810577
20	18	0.622834813
21	19	0.6198790524
22	20	0.6169899003
23	21	0.6141356108
24	22	0.6112413349
25	23	0.6086575997
26	24	0.60597308
27	25	0.6032492608
28	26	0.6005197368
29	27	0.5980031911
30	28	0.5954620303
31	29	0.593058154
32	30	0.5907721235
33	31	0.5883903795
34	32	0.5860962672
35	33	0.5838619495
36	34	0.5816209762
37	35	0.5794655745
38	36	0.5774078407
39	37	0.5752881995
40	38	0.5732890453
41	39	0.5713962217
42	40	0.5694297643
43	41	0.567587333
44	42	0.5657259914
45	43	0.5638533987
46	44	0.5621342539
47	45	0.5604327516
48	46	0.5587189947
49	47	0.5569927717
50	48	0.555425543
51	49	0.5538550921
52	50	0.5522961565
53	51	0.5507451969
54	52	0.5491835145
55	53	0.5477107315
56	54	0.5462681627
57	55	0.5447992357
58	56	0.5434585606
59	57	0.5421027783
60	58	0.5407549193
61	59	0.5393838715
62	60	0.5380448867
63	61	0.5367518041
64	62	0.5355124944
65	63	0.5343096318
66	64	0.533120767
67	65	0.5319089776
68	66	0.5308060014
69	67	0.5296955773
70	68	0.5286279919
71	69	0.5276054108
72	70	0.5265488123
73	71	0.5255444548
74	72	0.5244471306
75	73	0.5234416639
76	74	0.5224069337
77	75	0.5214943808
78	76	0.5205346579
79	77	0.5196034061
80	78	0.5186362881
81	79	0.5176895594
82	80	0.5168238068
83	81	0.5159429472
84	82	0.5151476063
85	83	0.514282963
86	84	0.5134848226
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88	86	0.5118366178
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90	88	0.5102517465
91	89	0.5095107595
92	90	0.5087988774
93	91	0.5080831921
94	92	0.5073154244
95	93	0.506609247
96	94	0.505860865
97	95	0.5051333476
98	96	0.5044872817
99	97	0.5038416912
100	98	0.5032041825
101	99	0.5025543134
102	100	0.5019676723
103	101	0.5013365022
104	102	0.5007273589
105	103	0.5001505955
106	104	0.4996129732
107	105	0.4990515282
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110	108	0.4974291533
111	109	0.4969391236
112	110	0.4964724941
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114	112	0.4954170049
115	113	0.4948841365
116	114	0.4944458196
117	115	0.493926685
118	116	0.4934598441
119	117	0.4930039903
120	118	0.4924337768
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122	120	0.491562161
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124	122	0.4906926052
125	123	0.4902412941
126	124	0.4897666356
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128	126	0.4889014112
129	127	0.4884099553
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131	129	0.4875905277
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133	131	0.4867756955
134	132	0.4863964335
135	133	0.4860105688
136	134	0.485644037
137	135	0.4852702685
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139	137	0.4845022366
140	138	0.4841197525
141	139	0.4837843857
142	140	0.4834304255
143	141	0.4830156671
144	142	0.4827010593
145	143	0.4823716085
146	144	0.4820859999
147	145	0.48161562
148	146	0.48124201
149	147	0.480803429
150	148	0.4804356822
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152	150	0.4797892994
153	151	0.4794774383
154	152	0.4791629361
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158	156	0.4779381524
159	157	0.4776379122
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161	159	0.4770541762
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199	197	0.4664873465
200	198	0.4662521302
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210	208	0.4639880208
211	209	0.4637396518
212	210	0.4635408826
213	211	0.4633832617
214	212	0.4631604585
215	213	0.4630436691
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218	216	0.4622895294
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223	221	0.4612883941
224	222	0.4610412399
225	223	0.4608153731
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227	225	0.4603530221
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231	229	0.4595548289
232	230	0.4593623455
233	231	0.4591510047
234	232	0.4589677123
235	233	0.4587189735
236	234	0.4584712912
237	235	0.4582736841
238	236	0.4581205531
239	237	0.4579435994
240	238	0.45783542
241	239	0.4576447854
242	240	0.457446967
243	241	0.4572406442
244	242	0.4570581971
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246	244	0.4567143258
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248	246	0.4563094452
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250	248	0.455980998
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