mu = 12.02 and sigma = 0.40

              Total   Percent
Alley          2719  0.932122
FireplaceQu    1420  0.486802
LotFrontage     486  0.166610
GarageQual      159  0.054508
GarageFinish    159  0.054508
GarageType      157  0.053822
BsmtExposure     82  0.028111
BsmtCond         82  0.028111
BsmtQual         81  0.027768
BsmtFinType2     80  0.027425
BsmtFinType1     79  0.027083
MasVnrType       24  0.008228
MSZoning          4  0.001371
Exterior2nd       1  0.000343
TotalBsmtSF       1  0.000343
KitchenQual       1  0.000343
GarageCars        1  0.000343
SaleType          1  0.000343
Exterior1st       1  0.000343
Electrical        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: 0.9269663261524108
RMSE: 0.10231916286239287
RMSLE: 0.007981658975742276
Test
R2: 0.9199148891263502
RMSE: 0.11295583217844428
RMSLE: 0.008924233330382905
Accuracy: 0.91 (+/- 0.03)
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: 0.9677616720254136
RMSE: 0.06869302302815068
RMSLE: 0.0054301298262547665
Test
R2: 0.8737406621935428
RMSE: 0.13290958113943638
RMSLE: 0.010553235755463575
Accuracy: 0.91 (+/- 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: 0.9974955668881031
RMSE: 0.01970599907519459
RMSLE: 0.0015195131730173404
Test
R2: 0.8907693101656986
RMSE: 0.13078523430863218
RMSLE: 0.010277983592887913
Accuracy: 0.90 (+/- 0.03)