result.txt

[data_processing]  all_data size is : (2917, 79)
[data_processing]                Missing Ratio
PoolQC            99.691464
MiscFeature       96.400411
Alley             93.212204
Fence             80.425094
FireplaceQu       48.680151
LotFrontage       16.660953
GarageFinish       5.450806
GarageYrBlt        5.450806
GarageQual         5.450806
GarageCond         5.450806
GarageType         5.382242
BsmtExposure       2.811107
BsmtCond           2.811107
BsmtQual           2.776826
BsmtFinType2       2.742544
BsmtFinType1       2.708262
MasVnrType         0.822763
MasVnrArea         0.788481
MSZoning           0.137127
BsmtFullBath       0.068564
BsmtHalfBath       0.068564
Utilities          0.068564
Functional         0.068564
Exterior2nd        0.034282
Exterior1st        0.034282
SaleType           0.034282
BsmtFinSF1         0.034282
BsmtFinSF2         0.034282
BsmtUnfSF          0.034282
Electrical         0.034282
[data_processing]  Shape all_data: (2917, 79)
[data_processing]  (2917, 220)
[model]  Lasso score(cv): 0.1117 (0.0073)
[model]  ElasticNet score(cv): 0.1116 (0.0074)
[model]  Kernel Ridge score(cv): 0.1158 (0.0075)
[model]  Gradient Boosting score(cv): 0.1163 (0.0087)
[model]  Xgboost score(cv): 0.1159 (0.0064)
[model]  LGBM score(cv): 0.1158 (0.0063)
[model]  Averaged base models score(cv): 0.1088 (0.0076)
[model]  Stacked averaged-models score(cv): 0.1084 (0.0070)
[model]  stacked regressor: 0.0777923117751
[model]  xgboost: 0.07863191395
[model]  LightGBMs: 0.0732362946687
[model]  ensemble: 0.0751173540293
The end!