hyperparameter-tuning-benchmark:调整GBDT算法的超参数优化方法基准
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2021-04-05
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hyperparameter-tuning-benchmark-main.zip （67个子文件） 
hyperparameter-tuning-benchmark-main 
Preprocessing_Data.ipynb 319KB Experiment-0.ipynb 1.4MB Archives E1_Bank_XGBoost_GS_Colab.ipynb 12KB .ipynb_checkpoints desktop.ini 124B coba2-checkpoint.ipynb 72B E2_Bank_XGBoost_RS_Colab-checkpoint.ipynb 20KB E1_Bank_XGBoost_default_GS-checkpoint.ipynb 170KB E2_Bank_XGBoost_RS_Colab.ipynb 20KB y_census.csv 95KB E1_Bank_XGBoost_default_GS.ipynb 170KB pdf 
E2_Bank_XGBoost_RS.pdf 590KB Experiment2_BankDataset_XGBoost_RS.pdf 171KB Experiment3_BankDataset_XGBoost_BayesianOptimization.pdf 153KB desktop.ini 124B Experiment.pdf 1001KB Experiment1_BankDataset_XGBoost_GS.pdf 159KB Experiment02_MembandingMetodeCV.pdf 155KB Experiment2_BankDataset_XGBoost_RS_2.pdf 179KB Experiment2_BankDataset_XGBoost_RS_3.pdf 214KB Experiment1_bank_xgboost.pdf 347KB E2_Bank_XGBoost_RS_2.pdf 605KB desktop.ini 124B X_credit.csv 9.98MB E0_MembandingMetodeCV.ipynb 8KB img 
pie_chart_credit_card.png 10KB pie_chart_bank_dataset.png 11KB bankdataset+xgboost+BO.png 13KB desktop.ini 124B bankdataset+xgboost+randomsearch.png 15KB bankdataset+xgboost+gridsearch.png 16KB bankdataset+xgboost+randomsearch(42).png 15KB rs_banyak seed.png 19KB y_income.csv 59KB E3_Bank_XGBoost_BO.ipynb 119KB y_bank.csv 84KB y_credit.csv 59KB X_census.csv 7.17MB y_bank_preprocessed.csv 132KB X_bank_preprocessed.csv 12.07MB X_bank.csv 9.17MB X_income.csv 13.56MB coba2.ipynb 3KB E1_Bank_XGBoost_default_GS.ipynb 162KB Data_Preprocessing dataset-ready X-census.csv 4.93MB y-credit.csv 59KB y-census.csv 64KB y-bank.csv 88KB X-bank.csv 6.72MB X-credit.csv 8.97MB census_dataset.py 5KB dataset-raw census_income.csv 3.91MB credit_card.csv 2.73MB bank-full.csv 4.4MB bank_dataset.py 3KB credit_dataset.py 1KB service.py 1KB README.md 109B Experiment-1.ipynb 843KB .gitignore 640B Experiments Experiment_2.py 0B Experiment_1.py 0B
0.List_Experiments.txt 0B Experiment-3.py 0B HPO_method bayes_search.py 0B grid_search.py 0B bohb.py 0B random_search.py 0B
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