GitHub topics: categorical-missing-value
grahman20/SiMI
SiMI imputes numerical and categorical missing values by making an educated guess based on records that are similar to the record having a missing value. Using the similarity and correlations, missing values are then imputed. To achieve a higher quality of imputation some segments are merged together using a novel approach.
Language: Java - Size: 265 KB - Last synced at: 21 days ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Related Keywords
categorical-missing-value
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data-cleaning
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data-science
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dataset
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decision-forest
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decision-forest-algorithm
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decision-tree
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decision-tree-classifier
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linear-regression
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missing-data
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missing-data-imputation
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missing-value-handling
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missing-value-imputation
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missing-values
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numerical-missing-value
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preprocessing
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