| 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 | 0.00047844031867353906 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_n_estimators | 1344 |
| sklearn.ensemble._weight_boosting.AdaBoostClassifier(2)_random_state | 42 |
0.9774 ± 0.0133 Per class Cross-validation details (10-fold Crossvalidation)
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0.9277 ± 0.0356 Per class Cross-validation details (10-fold Crossvalidation)
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0.8448 ± 0.0756 Cross-validation details (10-fold Crossvalidation)
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0.6794 ± 0.0376 Cross-validation details (10-fold Crossvalidation)
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0.171 ± 0.0159 Cross-validation details (10-fold Crossvalidation)
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0.4676 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.9279 ± 0.0355 Cross-validation details (10-fold Crossvalidation)
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569 Per class Cross-validation details (10-fold Crossvalidation) |
0.9277 ± 0.0358 Per class Cross-validation details (10-fold Crossvalidation)
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0.9279 ± 0.0355 Cross-validation details (10-fold Crossvalidation)
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0.9526 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
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0.3656 ± 0.0335 Cross-validation details (10-fold Crossvalidation)
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0.4835 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.2365 ± 0.0288 Cross-validation details (10-fold Crossvalidation)
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0.4892 ± 0.0592 Cross-validation details (10-fold Crossvalidation)
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0.9196 ± 0.0381 Cross-validation details (10-fold Crossvalidation)
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