Created
May 14, 2025 06:22
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Sample Model Config with XGBoost
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| model: | |
| best_model: GradientBoosting | |
| feature_sets: | |
| rfe: | |
| - '0' | |
| - '1' | |
| - '2' | |
| - '3' | |
| - '4' | |
| - '5' | |
| - '9' | |
| - '10' | |
| - '13' | |
| - '14' | |
| mae: 12310.638379356631 | |
| name: house_price_model | |
| parameters: | |
| alpha: 0.9 | |
| ccp_alpha: 0.0 | |
| criterion: friedman_mse | |
| init: null | |
| learning_rate: 0.1 | |
| loss: squared_error | |
| max_depth: 3 | |
| max_features: null | |
| max_leaf_nodes: null | |
| min_impurity_decrease: 0.0 | |
| min_samples_leaf: 1 | |
| min_samples_split: 2 | |
| min_weight_fraction_leaf: 0.0 | |
| n_estimators: 100 | |
| n_iter_no_change: null | |
| random_state: null | |
| subsample: 1.0 | |
| tol: 0.0001 | |
| validation_fraction: 0.1 | |
| verbose: 0 | |
| warm_start: false | |
| r2_score: 0.9937776455685025 | |
| target_variable: price |
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