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TEST05d612bf46sklearn.impute._base.SimpleImputer
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TEST05d612bf46sklearn.impute._base.SimpleImputer
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Uploaded 18-10-2024 by
Continuous Integration
sklearn==0.23.1 numpy>=1.13.3 scipy>=0.19.1 joblib>=0.11 threadpoolctl>=2.0.0
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openml-python
python
scikit-learn
sklearn
sklearn_0.23.1
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Imputation transformer for completing missing values.
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Supervised Classification
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Supervised Data Stream Classification
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area under roc curve
average cost
binominal test
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class complexity
class complexity gain
confusion matrix
correlation coefficient
cortana quality
coverage
f measure
information gain
jaccard
kappa
kb relative information score
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kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
kononenko bratko information score
matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
mean kononenko bratko information score
mean precision
mean prior absolute error
mean prior class complexity
mean recall
mean weighted area under roc curve
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weighted recall
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pattern team auroc10
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