Train a GaussianNB model
GaussianNB accuracy on validation set: 0.924926723861278
Train a XGBoost model
xgb loading...
xgboost accuracy on validation set:: 0.8450141442703957
Train a DecisionTree model
DecisionTree accuracy on validation set: 0.9529606412642719
Train a KNeighbors model
KNN accuracy on validation set: 0.9533813996277358
Train a RandomForest model
RandomForest accuracy on validation set: 0.9537379745120272
Train a SVM model
Load SVM model...
SVM accuracy on validation set: 0.9589510993203683
Load AdaBoost model...
AdaBoost accuracy on validation set: 0.9577886651975781
Train a LogisticRegression model
Load LogisticRegression model...
LogisticRegression accuracy on validation set: 0.9581880290679846
Train a MLP model
Load MLP model...
MLP accuracy on validation set: 0.9572395398757693
Train a GBDT model
Load GBDT model...
GBDT accuracy on validation set: 0.9574820107970875
Train a cbc model
Load cbc model...
CatBoost accuracy on validation set: 0.9566190995771022
Train a LGBM model
Load LGBM model...
LightGBM accuracy on validation set: 0.9589225733296249

pip install catboost joblib

unzip dataset/ccf_offline_stage1_train.zip
#补充下载数据集，太大了我无法上传
wget https://github.com/yangchengjun/o2o_dataset/blob/master/dataset/ccf_online_stage1_train.zip -o dataset/
unzip dataset/ccf_online_stage1_train.zip 

python homework_o2o.py