Total   Percent
PoolQC         1453  0.995205
MiscFeature    1406  0.963014
Alley          1369  0.937671
Fence          1179  0.807534
FireplaceQu     690  0.472603
LotFrontage     259  0.177397
GarageCond       81  0.055479
GarageType       81  0.055479
GarageYrBlt      81  0.055479
GarageFinish     81  0.055479
GarageQual       81  0.055479
BsmtExposure     38  0.026027
BsmtFinType2     38  0.026027
BsmtFinType1     37  0.025342
BsmtCond         37  0.025342
BsmtQual         37  0.025342
MasVnrArea        8  0.005479
MasVnrType        8  0.005479
Electrical        1  0.000685
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: 0.900928280613796
RMSE: 0.11921419956844193
RMSLE: 0.009197799994941804
Test
R2: 0.8967299504618576
RMSE: 0.11097042747851499
RMSLE: 0.008597196096326625
Accuracy: 0.88 (+/- 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: 0.961882325124111
RMSE: 0.07588140544292711
RMSLE: 0.00591670124537216
Test
R2: 0.8926997636367985
RMSE: 0.11164479282544255
RMSLE: 0.008680527859539
Accuracy: 0.90 (+/- 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: 0.9971902274242356
RMSE: 0.021167142946350206
RMSLE: 0.0016307988766566474
Test
R2: 0.9038938318170437
RMSE: 0.1079454200273511
RMSLE: 0.008339622465234684
Accuracy: 0.89 (+/- 0.03)