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TEST96288b0561sklearn.impute._base.SimpleImputer
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TEST96288b0561sklearn.impute._base.SimpleImputer
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Uploaded 18-10-2024 by
Continuous Integration
sklearn==1.4.2 numpy>=1.19.5 scipy>=1.6.0 joblib>=1.2.0 threadpoolctl>=2.0.0
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openml-python
python
scikit-learn
sklearn
sklearn_1.4.2
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Univariate imputer for completing missing values with simple strategies. Replace missing values using a descriptive statistic (e.g. mean, median, or most frequent) along each column, or using a constant value.
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Supervised Classification
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Learning Curve
Supervised Data Stream Classification
Active Classification
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area under roc curve
average cost
binominal test
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c index
chi-squared
class complexity
class complexity gain
confusion matrix
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jaccard
kappa
kb relative information score
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kohavi wolpert error
kohavi wolpert sigma squared
kohavi wolpert variance
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matthews correlation coefficient
mean absolute error
mean class complexity
mean class complexity gain
mean f measure
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mean prior absolute error
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mean recall
mean weighted area under roc curve
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webb bias
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pattern team auroc10
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