| 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 | 191 |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_priors | null |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_shrinkage | null |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_solver | "svd" |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_store_covariance | false |
| sklearn.discriminant_analysis.LinearDiscriminantAnalysis(4)_tol | 2.2495055505125422e-07 |
0.9912 ± 0.0121 Per class Cross-validation details (10-fold Crossvalidation)
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0.9555 ± 0.0352 Per class Cross-validation details (10-fold Crossvalidation)
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0.9041 ± 0.0757 Cross-validation details (10-fold Crossvalidation)
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0.889 ± 0.0637 Cross-validation details (10-fold Crossvalidation)
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0.0532 ± 0.0276 Cross-validation details (10-fold Crossvalidation)
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0.4676 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.9561 ± 0.0343 Cross-validation details (10-fold Crossvalidation)
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569 Per class Cross-validation details (10-fold Crossvalidation) |
0.9579 ± 0.032 Per class Cross-validation details (10-fold Crossvalidation)
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0.9561 ± 0.0343 Cross-validation details (10-fold Crossvalidation)
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0.9526 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
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0.1138 ± 0.0586 Cross-validation details (10-fold Crossvalidation)
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0.4835 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
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0.1833 ± 0.0825 Cross-validation details (10-fold Crossvalidation)
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0.3791 ± 0.17 Cross-validation details (10-fold Crossvalidation)
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0.943 ± 0.0435 Cross-validation details (10-fold Crossvalidation)
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