| Issue | #Downvotes for this reason | By |
|---|
| 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 | 119 |
| 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 | 0.02988706563635015 |
0.991 ± 0.0114 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9609 ± 0.0336 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9157 ± 0.0724 Cross-validation details (10-fold Crossvalidation)
|
0.8904 ± 0.0613 Cross-validation details (10-fold Crossvalidation)
|
0.0528 ± 0.0268 Cross-validation details (10-fold Crossvalidation)
|
0.4676 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
|
0.9613 ± 0.0329 Cross-validation details (10-fold Crossvalidation)
|
569 Per class Cross-validation details (10-fold Crossvalidation) |
0.9631 ± 0.0306 Per class Cross-validation details (10-fold Crossvalidation)
|
0.9613 ± 0.0329 Cross-validation details (10-fold Crossvalidation)
|
0.9526 ± 0.0055 Cross-validation details (10-fold Crossvalidation)
|
0.113 ± 0.0569 Cross-validation details (10-fold Crossvalidation)
|
0.4835 ± 0.0019 Cross-validation details (10-fold Crossvalidation)
|
0.1816 ± 0.0817 Cross-validation details (10-fold Crossvalidation)
|
0.3755 ± 0.1683 Cross-validation details (10-fold Crossvalidation)
|
0.9491 ± 0.0423 Cross-validation details (10-fold Crossvalidation)
|