Classifying Iris with Decision Forest Algorithm
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Updated
May 26, 2018 - Jupyter Notebook
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Classifying Iris with Decision Forest Algorithm
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.
data-science linear-regression dataset missing-data preprocessing data-cleaning decision-tree decision-tree-classifier missing-values decision-forest decision-forest-algorithm missing-value-handling missing-data-imputation missing-value-imputation numerical-missing-value categorical-missing-value
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