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@@ -60,21 +60,22 @@ may contain documents that don't have an {olscore}.
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====== {regression-cap}
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-{regression-cap} supports fields that are numeric, boolean, text, keyword and ip. It
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-is also tolerant of missing values. Fields that are supported are included in
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-the analysis, other fields are ignored. Documents where included fields contain
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-an array with two or more values are also ignored. Documents in the `dest` index
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-that don’t contain a results field are not included in the {reganalysis}.
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+{regression-cap} supports fields that are numeric, `boolean`, `text`, `keyword`,
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+and `ip`. It is also tolerant of missing values. Fields that are supported are
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+included in the analysis, other fields are ignored. Documents where included
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+fields contain an array with two or more values are also ignored. Documents in
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+the `dest` index that don’t contain a results field are not included in the
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+ {reganalysis}.
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====== {classification-cap}
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-{classification-cap} supports fields that are numeric, boolean, text, keyword
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-and ip. It is also tolerant of missing values. Fields that are supported are
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-included in the analysis, other fields are ignored. Documents where included
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-fields contain an array with two or more values are also ignored. Documents in
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-the `dest` index that don’t contain a results field are not included in the
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-{classanalysis}.
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+{classification-cap} supports fields that are numeric, `boolean`, `text`,
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+`keyword`, and `ip`. It is also tolerant of missing values. Fields that are
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+supported are included in the analysis, other fields are ignored. Documents
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+where included fields contain an array with two or more values are also ignored.
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+Documents in the `dest` index that don’t contain a results field are not
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+included in the {classanalysis}.
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{classanalysis-cap} can be improved by mapping ordinal variable values to a
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single number. For example, in case of age ranges, you can model the values as
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lcawl