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- 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)
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