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params.yml 460 B

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  1. model:
  2. ccp_alpha: 0.0
  3. criterion: friedman_mse
  4. init: null
  5. learning_rate: 1.0
  6. loss: deviance
  7. max_depth: 2
  8. max_features: null
  9. max_leaf_nodes: null
  10. min_impurity_decrease: 0.0
  11. min_samples_leaf: 1
  12. min_samples_split: 2
  13. min_weight_fraction_leaf: 0.0
  14. n_estimators: 100
  15. n_iter_no_change: null
  16. random_state: 0
  17. subsample: 1.0
  18. tol: 0.0001
  19. validation_fraction: 0.1
  20. verbose: 0
  21. warm_start: false
  22. model_class: GradientBoostingClassifier
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