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  "Description": "Convert Decision Tree objects into tidy data frames, by\nusing the framework laid out by the package broom, this means\nthat decision tree output can be easily reshaped, porocessed,\nand combined with tools like 'dplyr', 'tidyr' and 'ggplot2'.\nLike the package broom, broomstick provides three S3 generics:\ntidy, to summarise decision tree specific features - tidy\nreturns the variable importance table; augment adds columns to\nthe original data such as predictions and residuals; and\nglance, which provides a one-row summary of model-level\nstatistics.",
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  "Date/Publication": "2023-12-03 06:27:18 UTC",
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