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data
original data from kaggle
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deprecate
Useless code file, for backup only
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online
model or some GridSearch online
lgbm:
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model_lgbm_1365: 直接用lgbm的api:https://www.kaggle.com/enzoamp/nfl-lightgbm/code
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model_lgbm_multipleClassifier: LGBMClassifier + 平滑, https://www.kaggle.com/mrkmakr/lgbm-multiple-classifier
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model_lgbm_regression_1412 LGBMClassifier + 平滑,V7 效果不好,cv:0.020105, lb:0.02159 ,猜测哪里有bug,(原文:cv:0.013140205432501861,lb:0.01384)
NN:
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model_NN_1362
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online_NN:online test use
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online_NN2:online test use
RF:
- model_RF_1372
GridSearch
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online_cv_lgbm
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online_cv_rf
Model Ensemble
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online_ensemble: simple blend
- to be optimized
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online_stacking: The second layer predicts the cumlate probability of each category【deprecate:The results are not strictly increasing and do not meet the requirements of the topic】
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online_stacking_cumlate:The second layer predicts the probability of each category, then cumlate all just like single model does
- didn't perform well, maybe try attention stacking later
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reference
Code reproduced from discussion area
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test
test only
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model_xgb
to be finished model
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feature_filter/feature_filter_test
FE use