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refactor: 清理测试文件和2019相关代码

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- 删除测试脚本: test_2026_classification.py, test_lagllama.py, test_timesfm.py, test_ttm.py
- 删除2019相关文件: analyze_2019_*, apply_2019_*, dlinear_2019_*, three_models_2019_*
- 添加集成模型相关代码和分析脚本
- 添加N-BEATS模型和CatBoost分类模型
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crypto_predictor committed 2026-02-03 20:40:32 +08:00
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commit 1bd9d25f60
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catboost_info/test_error.tsv
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iter Accuracy Logloss
0 0.5215327622 0.6929069842
1 0.5201435517 0.6926980686
2 0.5235008104 0.6925995058
3 0.5243111831 0.6923741119
4 0.5240796481 0.6922359346
5 0.5217642973 0.6921532273
6 0.5241954156 0.6920533177
7 0.520838157 0.6919667553
8 0.520838157 0.6919667553
9 0.520838157 0.6918984047
10 0.5213012271 0.6918473786
11 0.5217642973 0.691760433
12 0.5231535078 0.6917269838
13 0.5210696921 0.6916992448
14 0.522343135 0.6916911046
15 0.5213012271 0.6916992139
16 0.5204908544 0.6917199845
17 0.5226904376 0.6917129587
18 0.5225746701 0.6916992772
19 0.5207223894 0.6917050845
20 0.5247742533 0.6916027729
21 0.5239638805 0.6916046624
22 0.5241954156 0.6916203654
23 0.5243111831 0.6916491893
24 0.5244269507 0.6916666458
25 0.5235008104 0.691666967
26 0.5229219727 0.6916827648
27 0.5245427182 0.6917018334
28 0.5222273674 0.6916998315
29 0.5224589025 0.6917500551
30 0.5222273674 0.691867972
31 0.5215327622 0.6918745283
32 0.5214169947 0.691873578
33 0.5215327622 0.6918621914
34 0.5222273674 0.691870106
35 0.5219958324 0.6919348629
36 0.5245427182 0.6920133967
37 0.5246584858 0.6920145372
38 0.5247742533 0.6920231409
39 0.5248900208 0.6920429941
40 0.5248900208 0.6920318228
41 0.5252373235 0.6920202842
42 0.525353091 0.6920430337
43 0.5247742533 0.6920265347
44 0.525353091 0.6920697067
45 0.5263949988 0.692116771
46 0.5259319287 0.692098178
47 0.5260476962 0.692152499
48 0.5262792313 0.6922137468
49 0.5270896041 0.6922167687
50 0.5272053716 0.6922875182
51 0.526858069 0.6923662256
52 0.526858069 0.6923707756
53 0.5270896041 0.6923776257
54 0.5259319287 0.692400255
55 0.5266265339 0.692269877
56 0.5260476962 0.6922932744
57 0.5266265339 0.6923264029
58 0.5263949988 0.692314059
59 0.5263949988 0.6923015601
60 0.5263949988 0.6923592968
61 0.5267423015 0.6923476579
62 0.5265107664 0.692348824
63 0.5259319287 0.6923600086
64 0.5254688585 0.692372751
65 0.5260476962 0.6924455742
66 0.5255846261 0.6924748157
67 0.5273211392 0.6924789867
68 0.5267423015 0.6924876711
69 0.5266265339 0.692489792
70 0.5266265339 0.6924869911
71 0.5267423015 0.6925206162
72 0.5262792313 0.6925313913
73 0.5258161611 0.6925367884
74 0.5265107664 0.6925626459
75 0.5273211392 0.6925711713
76 0.526858069 0.6926776812
77 0.5274369067 0.6926884897
78 0.5266265339 0.6926819413
79 0.5272053716 0.692682082
80 0.5270896041 0.6927326486
81 0.5266265339 0.69272742
82 0.5272053716 0.6927260891
83 0.5267423015 0.6927850957
84 0.5266265339 0.6928797523
85 0.526858069 0.6928753106
86 0.525353091 0.6929332764
87 0.5265107664 0.6929225447
88 0.5262792313 0.6929127979
89 0.5278999768 0.6929168776
90 0.5261634638 0.6930123071
91 0.5260476962 0.6930271402
92 0.525353091 0.693074147
93 0.5257003936 0.693098238
94 0.5252373235 0.6931168231
95 0.5252373235 0.6930889734
96 0.5265107664 0.6931814079
97 0.5265107664 0.6935736538
98 0.5257003936 0.6935709125
99 0.5262792313 0.6935839531
100 0.5250057884 0.6936165151
101 0.5250057884 0.6936424871
102 0.5246584858 0.6936432847
103 0.5245427182 0.6936493519
104 0.5248900208 0.6936865636
105 0.5252373235 0.693675143
106 0.5255846261 0.6936874053
107 0.5254688585 0.693689784
108 0.5251215559 0.6936707742
109 0.5241954156 0.6937073345
110 0.5243111831 0.6937614267
111 0.5219958324 0.6937989599
112 0.5218800648 0.6938027615
113 0.5232692753 0.6939119665
114 0.5235008104 0.6939374584
115 0.5229219727 0.6939266092
116 0.5222273674 0.6939398216
117 0.5221115999 0.6939581303
118 0.522343135 0.6940189884
119 0.5224589025 0.6940203223
120 0.5228062051 0.6940373975
121 0.5216485298 0.6940836851
122 0.5217642973 0.6940971538
123 0.5222273674 0.6941038908
124 0.5222273674 0.6941318899
125 0.5245427182 0.6941318581
126 0.5240796481 0.6939774214
127 0.5246584858 0.6939790446
128 0.5244269507 0.6939875313
129 0.5239638805 0.6940065251
130 0.5237323455 0.6940062666
131 0.5231535078 0.6940655128
132 0.5226904376 0.6940488902
133 0.5221115999 0.6940625077
134 0.5225746701 0.6940868198
135 0.5229219727 0.6940640084
136 0.5232692753 0.6941097371
137 0.5244269507 0.6940823091
138 0.5237323455 0.6941720366
139 0.5235008104 0.6942806828
1 iter Accuracy Logloss
2 0 0.5215327622 0.6929069842
3 1 0.5201435517 0.6926980686
4 2 0.5235008104 0.6925995058
5 3 0.5243111831 0.6923741119
6 4 0.5240796481 0.6922359346
7 5 0.5217642973 0.6921532273
8 6 0.5241954156 0.6920533177
9 7 0.520838157 0.6919667553
10 8 0.520838157 0.6919667553
11 9 0.520838157 0.6918984047
12 10 0.5213012271 0.6918473786
13 11 0.5217642973 0.691760433
14 12 0.5231535078 0.6917269838
15 13 0.5210696921 0.6916992448
16 14 0.522343135 0.6916911046
17 15 0.5213012271 0.6916992139
18 16 0.5204908544 0.6917199845
19 17 0.5226904376 0.6917129587
20 18 0.5225746701 0.6916992772
21 19 0.5207223894 0.6917050845
22 20 0.5247742533 0.6916027729
23 21 0.5239638805 0.6916046624
24 22 0.5241954156 0.6916203654
25 23 0.5243111831 0.6916491893
26 24 0.5244269507 0.6916666458
27 25 0.5235008104 0.691666967
28 26 0.5229219727 0.6916827648
29 27 0.5245427182 0.6917018334
30 28 0.5222273674 0.6916998315
31 29 0.5224589025 0.6917500551
32 30 0.5222273674 0.691867972
33 31 0.5215327622 0.6918745283
34 32 0.5214169947 0.691873578
35 33 0.5215327622 0.6918621914
36 34 0.5222273674 0.691870106
37 35 0.5219958324 0.6919348629
38 36 0.5245427182 0.6920133967
39 37 0.5246584858 0.6920145372
40 38 0.5247742533 0.6920231409
41 39 0.5248900208 0.6920429941
42 40 0.5248900208 0.6920318228
43 41 0.5252373235 0.6920202842
44 42 0.525353091 0.6920430337
45 43 0.5247742533 0.6920265347
46 44 0.525353091 0.6920697067
47 45 0.5263949988 0.692116771
48 46 0.5259319287 0.692098178
49 47 0.5260476962 0.692152499
50 48 0.5262792313 0.6922137468
51 49 0.5270896041 0.6922167687
52 50 0.5272053716 0.6922875182
53 51 0.526858069 0.6923662256
54 52 0.526858069 0.6923707756
55 53 0.5270896041 0.6923776257
56 54 0.5259319287 0.692400255
57 55 0.5266265339 0.692269877
58 56 0.5260476962 0.6922932744
59 57 0.5266265339 0.6923264029
60 58 0.5263949988 0.692314059
61 59 0.5263949988 0.6923015601
62 60 0.5263949988 0.6923592968
63 61 0.5267423015 0.6923476579
64 62 0.5265107664 0.692348824
65 63 0.5259319287 0.6923600086
66 64 0.5254688585 0.692372751
67 65 0.5260476962 0.6924455742
68 66 0.5255846261 0.6924748157
69 67 0.5273211392 0.6924789867
70 68 0.5267423015 0.6924876711
71 69 0.5266265339 0.692489792
72 70 0.5266265339 0.6924869911
73 71 0.5267423015 0.6925206162
74 72 0.5262792313 0.6925313913
75 73 0.5258161611 0.6925367884
76 74 0.5265107664 0.6925626459
77 75 0.5273211392 0.6925711713
78 76 0.526858069 0.6926776812
79 77 0.5274369067 0.6926884897
80 78 0.5266265339 0.6926819413
81 79 0.5272053716 0.692682082
82 80 0.5270896041 0.6927326486
83 81 0.5266265339 0.69272742
84 82 0.5272053716 0.6927260891
85 83 0.5267423015 0.6927850957
86 84 0.5266265339 0.6928797523
87 85 0.526858069 0.6928753106
88 86 0.525353091 0.6929332764
89 87 0.5265107664 0.6929225447
90 88 0.5262792313 0.6929127979
91 89 0.5278999768 0.6929168776
92 90 0.5261634638 0.6930123071
93 91 0.5260476962 0.6930271402
94 92 0.525353091 0.693074147
95 93 0.5257003936 0.693098238
96 94 0.5252373235 0.6931168231
97 95 0.5252373235 0.6930889734
98 96 0.5265107664 0.6931814079
99 97 0.5265107664 0.6935736538
100 98 0.5257003936 0.6935709125
101 99 0.5262792313 0.6935839531
102 100 0.5250057884 0.6936165151
103 101 0.5250057884 0.6936424871
104 102 0.5246584858 0.6936432847
105 103 0.5245427182 0.6936493519
106 104 0.5248900208 0.6936865636
107 105 0.5252373235 0.693675143
108 106 0.5255846261 0.6936874053
109 107 0.5254688585 0.693689784
110 108 0.5251215559 0.6936707742
111 109 0.5241954156 0.6937073345
112 110 0.5243111831 0.6937614267
113 111 0.5219958324 0.6937989599
114 112 0.5218800648 0.6938027615
115 113 0.5232692753 0.6939119665
116 114 0.5235008104 0.6939374584
117 115 0.5229219727 0.6939266092
118 116 0.5222273674 0.6939398216
119 117 0.5221115999 0.6939581303
120 118 0.522343135 0.6940189884
121 119 0.5224589025 0.6940203223
122 120 0.5228062051 0.6940373975
123 121 0.5216485298 0.6940836851
124 122 0.5217642973 0.6940971538
125 123 0.5222273674 0.6941038908
126 124 0.5222273674 0.6941318899
127 125 0.5245427182 0.6941318581
128 126 0.5240796481 0.6939774214
129 127 0.5246584858 0.6939790446
130 128 0.5244269507 0.6939875313
131 129 0.5239638805 0.6940065251
132 130 0.5237323455 0.6940062666
133 131 0.5231535078 0.6940655128
134 132 0.5226904376 0.6940488902
135 133 0.5221115999 0.6940625077
136 134 0.5225746701 0.6940868198
137 135 0.5229219727 0.6940640084
138 136 0.5232692753 0.6941097371
139 137 0.5244269507 0.6940823091
140 138 0.5237323455 0.6941720366
141 139 0.5235008104 0.6942806828