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Statements

Subject Item
dbr:Undersampling
dbo:wikiPageWikiLink
dbr:Oversampling_and_undersampling_in_data_analysis
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dbpedia-ro:Supraeșantionarea_și_subeșantionarea_în_analiza_datelor wikidata:Q7113891 dbpedia-global:4sUka freebase:m.05n_nz0 dbpedia-ko:오버샘플링과_언더샘플링
rdfs:label
오버샘플링과 언더샘플링 Oversampling and undersampling in data analysis
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wikipedia-en:Oversampling_and_undersampling_in_data_analysis?oldid=1284798609&ns=0
dbo:description
techniques used to adjust imbalances in the class distribution or ratio between categories in a data set
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n9:SPRINGER05.pdf n13:16-365.pdf
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dbr:Stratified_Sampling dbr:Complete_blood_count dbr:Overfitting dbr:Regularization_(mathematics) dbr:Machine_learning dbr:Data_set dbr:Sampling_(statistics) dbr:Bias dbr:Synthetic_minority_oversampling_technique dbr:Undersampling dbr:Data_augmentation dbr:Data_cleansing dbr:Statistics dbc:Sampling_(statistics)
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Model Comparison and Calibration Assessment User Guide for Consistent Scoring Functions in Machine Learning and Actuarial Practice, Tobias Fissler, arXiv:2202.12780v3, Christian Lorentzen, Michael Mayer, 2023
dbp:text
Poor models in [the binary classification] setting are often a result of—any combination of—fitting deterministic classifiers, using re-sampling or re-weighting methods to balance class frequencies in the training data and evaluating the model with a score such as accuracy. ... No re-sampling technique will magically generate more information out of the few cases with the rare class.
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dbr:Techniques
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