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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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catboost_info/learn_error.tsv
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iter Accuracy Logloss
0 0.5470774019 0.6925856518
1 0.5485192475 0.6920296194
2 0.5508078912 0.6915437145
3 0.5511969607 0.6911042525
4 0.5528218977 0.6906429178
5 0.553096535 0.6902328044
6 0.5537144688 0.6899070645
7 0.552730352 0.6895966245
8 0.5539204467 0.6892625204
9 0.554561267 0.6889386437
10 0.554561267 0.6886345552
11 0.5548587907 0.6883728473
12 0.5552020872 0.6881185803
13 0.5564150684 0.6879043975
14 0.5559802261 0.6877314929
15 0.5564150684 0.6875118582
16 0.5569414565 0.6872755986
17 0.5561862041 0.6870435386
18 0.5561633176 0.6868442431
19 0.5575593903 0.6866694237
20 0.5575593903 0.686503203
21 0.557124548 0.6863452751
22 0.5569185701 0.6862172686
23 0.5573762988 0.6860730724
24 0.5571703209 0.6859302623
25 0.5570101158 0.6858087212
26 0.5571474344 0.6857036471
27 0.5571932073 0.6855803136
28 0.5572160937 0.6854590307
29 0.5568041379 0.6853245403
30 0.5570558887 0.6852010211
31 0.5570330022 0.6850648161
32 0.5578340276 0.6849486439
33 0.5576738225 0.6848167763
34 0.5577424818 0.6847064338
35 0.5582917563 0.6846073419
36 0.5587037122 0.6845016816
37 0.5587494851 0.6844106082
38 0.5591156681 0.6843432648
39 0.5589325766 0.6842678359
40 0.5590012359 0.6841515192
41 0.5590698952 0.6840610381
42 0.5593445324 0.6839565281
43 0.5592529867 0.6838539206
44 0.559321646 0.6837417759
45 0.559687829 0.6836669298
46 0.5603744221 0.6835634424
47 0.5599853527 0.6834698484
48 0.5601913306 0.6833860083
49 0.5602599899 0.6833086288
50 0.5606490594 0.683239475
51 0.5609694695 0.6831625258
52 0.5611983339 0.683056699
53 0.5617018355 0.6829611591
54 0.5619993592 0.6828690012
55 0.5620451321 0.6827776665
56 0.5624342015 0.6826927644
57 0.5626401794 0.6825957686
58 0.5626630659 0.6825449467
59 0.5627088387 0.6824559998
60 0.562983476 0.6823684725
61 0.5632352268 0.6822923813
62 0.5630521353 0.6822333406
63 0.5634412047 0.6821367311
64 0.5636242962 0.6820867227
65 0.563715842 0.6820256999
66 0.5638531606 0.6819329129
67 0.5638989335 0.6818706983
68 0.5639447064 0.6818045601
69 0.564082025 0.68171304
70 0.5640362521 0.6816251881
71 0.5645168673 0.6815203712
72 0.564448208 0.6814559429
73 0.5646541859 0.6813334168
74 0.5649059367 0.6812138418
75 0.5649059367 0.6811428702
76 0.565180574 0.6810679335
77 0.5653407791 0.6810189357
78 0.5655696434 0.6809239905
79 0.5651119147 0.6808452293
80 0.5653407791 0.6807843648
81 0.565180574 0.6807084812
82 0.5654780977 0.6806237044
83 0.5656840756 0.680541791
84 0.5653636655 0.6804402561
85 0.565546757 0.6803841011
86 0.5657298485 0.6803302076
87 0.5663248959 0.6802294187
88 0.5660273722 0.6801427052
89 0.5664393281 0.680092343
90 0.5666224196 0.6800188515
91 0.567377672 0.6799633931
92 0.5676523092 0.6799142593
93 0.5677667414 0.6798218244
94 0.5679727194 0.6797624264
95 0.5682702431 0.6796825487
96 0.5683160159 0.6796119175
97 0.5681786973 0.6795251979
98 0.5684533346 0.6794647206
99 0.5690026091 0.6793963783
100 0.5689797226 0.6793126045
101 0.569208587 0.6792105367
102 0.5693687921 0.6791494493
103 0.5695518836 0.6790732211
104 0.5698265208 0.6789905315
105 0.5698951801 0.67895488
106 0.5700324987 0.6788948137
107 0.5704902275 0.6788457101
108 0.5704902275 0.6787737664
109 0.5708106376 0.6786897689
110 0.5709021834 0.6786357569
111 0.5711768206 0.6785404316
112 0.5714972307 0.6784635222
113 0.5716345494 0.6783830081
114 0.5716803222 0.6783261377
115 0.5717947544 0.6782551829
116 0.5717260951 0.6782039946
117 0.5719549595 0.6781381441
118 0.5720007324 0.6780959678
119 0.5721609374 0.6780580972
120 0.5722982561 0.6779909469
121 0.5722753696 0.6779155506
122 0.5726186662 0.67787157
123 0.5729161899 0.6778021605
124 0.5732594864 0.6777441308
125 0.5737172152 0.6776640278
126 0.5741062846 0.6775768826
127 0.5738545338 0.6775322572
128 0.5738545338 0.6774381457
129 0.5739460796 0.6773933791
130 0.5738545338 0.6773073305
131 0.5746555591 0.6772430348
132 0.5745640134 0.6771630132
133 0.5747242184 0.6770868641
134 0.5749988557 0.6770144627
135 0.5747699913 0.6769488704
136 0.5751590607 0.6768712881
137 0.5755939031 0.6767999464
138 0.5755710166 0.6767315844
139 0.5758914267 0.6766580612
1 iter Accuracy Logloss
2 0 0.5470774019 0.6925856518
3 1 0.5485192475 0.6920296194
4 2 0.5508078912 0.6915437145
5 3 0.5511969607 0.6911042525
6 4 0.5528218977 0.6906429178
7 5 0.553096535 0.6902328044
8 6 0.5537144688 0.6899070645
9 7 0.552730352 0.6895966245
10 8 0.5539204467 0.6892625204
11 9 0.554561267 0.6889386437
12 10 0.554561267 0.6886345552
13 11 0.5548587907 0.6883728473
14 12 0.5552020872 0.6881185803
15 13 0.5564150684 0.6879043975
16 14 0.5559802261 0.6877314929
17 15 0.5564150684 0.6875118582
18 16 0.5569414565 0.6872755986
19 17 0.5561862041 0.6870435386
20 18 0.5561633176 0.6868442431
21 19 0.5575593903 0.6866694237
22 20 0.5575593903 0.686503203
23 21 0.557124548 0.6863452751
24 22 0.5569185701 0.6862172686
25 23 0.5573762988 0.6860730724
26 24 0.5571703209 0.6859302623
27 25 0.5570101158 0.6858087212
28 26 0.5571474344 0.6857036471
29 27 0.5571932073 0.6855803136
30 28 0.5572160937 0.6854590307
31 29 0.5568041379 0.6853245403
32 30 0.5570558887 0.6852010211
33 31 0.5570330022 0.6850648161
34 32 0.5578340276 0.6849486439
35 33 0.5576738225 0.6848167763
36 34 0.5577424818 0.6847064338
37 35 0.5582917563 0.6846073419
38 36 0.5587037122 0.6845016816
39 37 0.5587494851 0.6844106082
40 38 0.5591156681 0.6843432648
41 39 0.5589325766 0.6842678359
42 40 0.5590012359 0.6841515192
43 41 0.5590698952 0.6840610381
44 42 0.5593445324 0.6839565281
45 43 0.5592529867 0.6838539206
46 44 0.559321646 0.6837417759
47 45 0.559687829 0.6836669298
48 46 0.5603744221 0.6835634424
49 47 0.5599853527 0.6834698484
50 48 0.5601913306 0.6833860083
51 49 0.5602599899 0.6833086288
52 50 0.5606490594 0.683239475
53 51 0.5609694695 0.6831625258
54 52 0.5611983339 0.683056699
55 53 0.5617018355 0.6829611591
56 54 0.5619993592 0.6828690012
57 55 0.5620451321 0.6827776665
58 56 0.5624342015 0.6826927644
59 57 0.5626401794 0.6825957686
60 58 0.5626630659 0.6825449467
61 59 0.5627088387 0.6824559998
62 60 0.562983476 0.6823684725
63 61 0.5632352268 0.6822923813
64 62 0.5630521353 0.6822333406
65 63 0.5634412047 0.6821367311
66 64 0.5636242962 0.6820867227
67 65 0.563715842 0.6820256999
68 66 0.5638531606 0.6819329129
69 67 0.5638989335 0.6818706983
70 68 0.5639447064 0.6818045601
71 69 0.564082025 0.68171304
72 70 0.5640362521 0.6816251881
73 71 0.5645168673 0.6815203712
74 72 0.564448208 0.6814559429
75 73 0.5646541859 0.6813334168
76 74 0.5649059367 0.6812138418
77 75 0.5649059367 0.6811428702
78 76 0.565180574 0.6810679335
79 77 0.5653407791 0.6810189357
80 78 0.5655696434 0.6809239905
81 79 0.5651119147 0.6808452293
82 80 0.5653407791 0.6807843648
83 81 0.565180574 0.6807084812
84 82 0.5654780977 0.6806237044
85 83 0.5656840756 0.680541791
86 84 0.5653636655 0.6804402561
87 85 0.565546757 0.6803841011
88 86 0.5657298485 0.6803302076
89 87 0.5663248959 0.6802294187
90 88 0.5660273722 0.6801427052
91 89 0.5664393281 0.680092343
92 90 0.5666224196 0.6800188515
93 91 0.567377672 0.6799633931
94 92 0.5676523092 0.6799142593
95 93 0.5677667414 0.6798218244
96 94 0.5679727194 0.6797624264
97 95 0.5682702431 0.6796825487
98 96 0.5683160159 0.6796119175
99 97 0.5681786973 0.6795251979
100 98 0.5684533346 0.6794647206
101 99 0.5690026091 0.6793963783
102 100 0.5689797226 0.6793126045
103 101 0.569208587 0.6792105367
104 102 0.5693687921 0.6791494493
105 103 0.5695518836 0.6790732211
106 104 0.5698265208 0.6789905315
107 105 0.5698951801 0.67895488
108 106 0.5700324987 0.6788948137
109 107 0.5704902275 0.6788457101
110 108 0.5704902275 0.6787737664
111 109 0.5708106376 0.6786897689
112 110 0.5709021834 0.6786357569
113 111 0.5711768206 0.6785404316
114 112 0.5714972307 0.6784635222
115 113 0.5716345494 0.6783830081
116 114 0.5716803222 0.6783261377
117 115 0.5717947544 0.6782551829
118 116 0.5717260951 0.6782039946
119 117 0.5719549595 0.6781381441
120 118 0.5720007324 0.6780959678
121 119 0.5721609374 0.6780580972
122 120 0.5722982561 0.6779909469
123 121 0.5722753696 0.6779155506
124 122 0.5726186662 0.67787157
125 123 0.5729161899 0.6778021605
126 124 0.5732594864 0.6777441308
127 125 0.5737172152 0.6776640278
128 126 0.5741062846 0.6775768826
129 127 0.5738545338 0.6775322572
130 128 0.5738545338 0.6774381457
131 129 0.5739460796 0.6773933791
132 130 0.5738545338 0.6773073305
133 131 0.5746555591 0.6772430348
134 132 0.5745640134 0.6771630132
135 133 0.5747242184 0.6770868641
136 134 0.5749988557 0.6770144627
137 135 0.5747699913 0.6769488704
138 136 0.5751590607 0.6768712881
139 137 0.5755939031 0.6767999464
140 138 0.5755710166 0.6767315844
141 139 0.5758914267 0.6766580612