Run
10160549

Run 10160549

Task 9 (Supervised Classification) autos Uploaded 02-04-2019 by Hugo Spee
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Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.-2).
  • auto-jupyter-notebook openml-python Sklearn_0.20.1.
Issue #Downvotes for this reason By


Flow

sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sk learn.discriminant_analysis.QuadraticDiscriminantAnalysis)(1)Automatically created scikit-learn flow.
sklearn.impute.SimpleImputer(5)_copytrue
sklearn.impute.SimpleImputer(5)_fill_valuenull
sklearn.impute.SimpleImputer(5)_missing_valuesNaN
sklearn.impute.SimpleImputer(5)_strategy"mean"
sklearn.impute.SimpleImputer(5)_verbose0
sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis)(1)_memorynull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_priorsnull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_reg_param0.0
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_store_covariancefalse
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_store_covariancesnull
sklearn.discriminant_analysis.QuadraticDiscriminantAnalysis(1)_tol0.0001

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

0 Evaluation measures