| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._weight_boosting.AdaBoost Classifier)(1) | Pipeline of transforms with a final estimator. Sequentially apply a list of transforms and a final estimator. Intermediate steps of the pipeline must be 'transforms', that is, they must implement fit and transform methods. The final estimator only needs to implement fit. The transformers in the pipeline can be cached using ``memory`` argument. The purpose of the pipeline is to assemble several steps that can be cross-validated together while setting different parameters. For this, it enables setting parameters of the various steps using their names and the parameter name separated by a '__', as in the example below. A step's estimator may be replaced entirely by setting the parameter with its name to another estimator, or a transformer removed by setting it to 'passthrough' or ``None``. |
| sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)_memory | null |
| sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}] |
| sklearn.pipeline.Pipeline(step_0=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1)_verbose | false |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_algorithm | "SAMME.R" |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_base_estimator | null |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_learning_rate | 0.0004497166676439097 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_n_estimators | 1349 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_random_state | 42 |
0.9771 ± 0.0134 Per class Cross-validation details (10-fold Crossvalidation)
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0.9258 ± 0.033 Per class Cross-validation details (10-fold Crossvalidation)
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0.8406 ± 0.0703 Cross-validation details (10-fold Crossvalidation)
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0.6808 ± 0.0386 Cross-validation details (10-fold Crossvalidation)
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0.1701 ± 0.0162 Cross-validation details (10-fold Crossvalidation)
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0.4676 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.9262 ± 0.0328 Cross-validation details (10-fold Crossvalidation)
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569 Per class Cross-validation details (10-fold Crossvalidation) |
0.926 ± 0.0328 Per class Cross-validation details (10-fold Crossvalidation)
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0.9262 ± 0.0328 Cross-validation details (10-fold Crossvalidation)
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0.9526 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
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0.3636 ± 0.0342 Cross-validation details (10-fold Crossvalidation)
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0.4835 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.2367 ± 0.0296 Cross-validation details (10-fold Crossvalidation)
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0.4896 ± 0.0608 Cross-validation details (10-fold Crossvalidation)
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0.9163 ± 0.0363 Cross-validation details (10-fold Crossvalidation)
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