| Issue | #Downvotes for this reason | By |
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| sklearn.pipeline.Pipeline(step_0=sklearn.discriminant_analysis.LinearDiscri minantAnalysis)(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.discriminant_analysis.LinearDiscriminantAnalysis)(1)_memory | null |
| sklearn.pipeline.Pipeline(step_0=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)_steps | [{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}] |
| sklearn.pipeline.Pipeline(step_0=sklearn.discriminant_analysis.LinearDiscriminantAnalysis)(1)_verbose | false |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_n_components | 164 |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_priors | null |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_shrinkage | 0.7645106366639687 |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_solver | "lsqr" |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_store_covariance | false |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_tol | 0.2838020865922681 |
0.9631 ± 0.0238 Per class Cross-validation details (10-fold Crossvalidation)
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0.8809 ± 0.0554 Per class Cross-validation details (10-fold Crossvalidation)
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0.741 ± 0.119 Cross-validation details (10-fold Crossvalidation)
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0.7463 ± 0.104 Cross-validation details (10-fold Crossvalidation)
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0.1157 ± 0.0466 Cross-validation details (10-fold Crossvalidation)
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0.4676 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.8858 ± 0.0483 Cross-validation details (10-fold Crossvalidation)
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569 Per class Cross-validation details (10-fold Crossvalidation) |
0.8992 ± 0.0354 Per class Cross-validation details (10-fold Crossvalidation)
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0.8858 ± 0.0483 Cross-validation details (10-fold Crossvalidation)
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0.9526 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
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0.2475 ± 0.0994 Cross-validation details (10-fold Crossvalidation)
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0.4835 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.3161 ± 0.0678 Cross-validation details (10-fold Crossvalidation)
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0.6538 ± 0.1396 Cross-validation details (10-fold Crossvalidation)
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0.8496 ± 0.0647 Cross-validation details (10-fold Crossvalidation)
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