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grid_example.py
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| dtree_parameters = { | |
| 'max_depth': [12, 24, 36, 50], | |
| 'min_samples_leaf': [5, 10, 15, 25], | |
| 'max_features': ['sqrt', 'log2', None], | |
| 'max_leaf_nodes': [50, 100, 175, 250] | |
| } | |
| decision_tree_model = DTree() | |
| decision_tree = GSearchCV(decision_tree_model, dtree_parameters, cv=5, n_jobs=-1, scoring=acc, verbose = 10) | |
| decision_tree.fit(rntr, ry_train) | |
| best_tree = decision_tree.best_estimator_ | |
| best_tree.fit(rntr, ry_train) |
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