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