mu = 12.02 and sigma = 0.40

              Total   Percent
PoolQC         2908  0.996915
MiscFeature    2812  0.964004
Alley          2719  0.932122
Fence          2346  0.804251
FireplaceQu    1420  0.486802
LotFrontage     486  0.166610
GarageCond      159  0.054508
GarageQual      159  0.054508
GarageYrBlt     159  0.054508
GarageFinish    159  0.054508
GarageType      157  0.053822
BsmtCond         82  0.028111
BsmtExposure     82  0.028111
BsmtQual         81  0.027768
BsmtFinType2     80  0.027425
BsmtFinType1     79  0.027083
MasVnrType       24  0.008228
MasVnrArea       23  0.007885
MSZoning          4  0.001371
BsmtHalfBath      2  0.000686
Functional        2  0.000686
BsmtFullBath      2  0.000686
BsmtFinSF2        1  0.000343
BsmtUnfSF         1  0.000343
BsmtFinSF1        1  0.000343
Exterior2nd       1  0.000343
TotalBsmtSF       1  0.000343
Exterior1st       1  0.000343
SaleType          1  0.000343
Electrical        1  0.000343
KitchenQual       1  0.000343
GarageCars        1  0.000343
GarageArea        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: 0.935715193163475
RMSE: 0.09642491303900429
RMSLE: 0.007523339667622065
Test
R2: 0.9220212454308224
RMSE: 0.11007238496371424
RMSLE: 0.008734648379211523
Accuracy: 0.92 (+/- 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: 0.9711309745182541
RMSE: 0.06507494627422042
RMSLE: 0.00516170160440001
Test
R2: 0.876227635919166
RMSE: 0.1311545087701359
RMSLE: 0.010440612058522925
Accuracy: 0.91 (+/- 0.03)
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: 0.998102033663671
RMSE: 0.01716734991141679
RMSLE: 0.0013246240985368375
Test
R2: 0.8912268252304474
RMSE: 0.12701108893000432
RMSLE: 0.010024565631835718
Accuracy: 0.91 (+/- 0.04)