Total   Percent
PoolQC         2909  0.996574
MiscFeature    2814  0.964029
Alley          2721  0.932169
Fence          2348  0.804385
FireplaceQu    1420  0.486468
LotFrontage     486  0.166495
GarageCond      159  0.054471
GarageQual      159  0.054471
GarageYrBlt     159  0.054471
GarageFinish    159  0.054471
GarageType      157  0.053786
BsmtCond         82  0.028092
BsmtExposure     82  0.028092
BsmtQual         81  0.027749
BsmtFinType2     80  0.027407
BsmtFinType1     79  0.027064
MasVnrType       24  0.008222
MasVnrArea       23  0.007879
MSZoning          4  0.001370
BsmtHalfBath      2  0.000685
Utilities         2  0.000685
Functional        2  0.000685
BsmtFullBath      2  0.000685
BsmtFinSF1        1  0.000343
Exterior1st       1  0.000343
Exterior2nd       1  0.000343
BsmtFinSF2        1  0.000343
BsmtUnfSF         1  0.000343
TotalBsmtSF       1  0.000343
SaleType          1  0.000343
Electrical        1  0.000343
KitchenQual       1  0.000343
GarageArea        1  0.000343
GarageCars        1  0.000343
ElasticNetCV(alphas=[0.0001, 0.0005, 0.001, 0.01, 0.1, 1, 10], copy_X=True,
       cv=None, eps=0.001, fit_intercept=True,
       l1_ratio=[0.01, 0.1, 0.5, 0.9, 0.99], max_iter=5000, n_alphas=100,
       n_jobs=1, normalize=False, positive=False, precompute='auto',
       random_state=None, selection='cyclic', tol=0.0001, verbose=0)
R2: 0.8877978792415331
RMSE: 0.1261931003284261
RMSLE: 0.009699574112464507
Test
R2: 0.887363773943292
RMSE: 0.11624163450366806
RMSLE: 0.008977388659798451
Accuracy: 0.87 (+/- 0.10)
GradientBoostingRegressor(alpha=0.9, criterion='friedman_mse', init=None,
             learning_rate=0.05, loss='huber', max_depth=3,
             max_features='sqrt', max_leaf_nodes=None,
             min_impurity_decrease=0.0, min_impurity_split=None,
             min_samples_leaf=15, min_samples_split=10,
             min_weight_fraction_leaf=0.0, n_estimators=3000,
             presort='auto', random_state=None, subsample=1.0, verbose=0,
             warm_start=False)
R2: 0.961533307797864
RMSE: 0.07603933958854966
RMSLE: 0.005927534479527882
Test
R2: 0.8980531905767903
RMSE: 0.11206606269257069
RMSLE: 0.00866279547460908
Accuracy: 0.89 (+/- 0.04)
XGBRegressor(base_score=0.5, colsample_bylevel=1, colsample_bytree=1, gamma=0,
       learning_rate=0.05, max_delta_step=0, max_depth=3,
       min_child_weight=1, missing=None, n_estimators=3000, nthread=-1,
       objective='reg:linear', reg_alpha=0, reg_lambda=1,
       scale_pos_weight=1, seed=0, silent=True, subsample=1)
R2: 0.9966543314229578
RMSE: 0.02307409259418883
RMSLE: 0.0017734224025037196
Test
R2: 0.908260191062412
RMSE: 0.10927938903982129
RMSLE: 0.008397817491435899
Accuracy: 0.89 (+/- 0.04)