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I confused about decision tree such as this picture why repeat decision node.Could you please explain that decision tree. thank you

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  • $\begingroup$ On this picture, the variable range was split into three subranges. $\endgroup$ – ttnphns Nov 16 '18 at 11:55
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The proportion of "open" responses apparently varies across the variable "added_date_m". In particular, the proportion appears to be extremely close to 100% if added_date_m is larger than 49. Moreover, if added_date_m is lower or equal 49 but larger than 26, the proportion is still high but not quite as close to 100%.

More generally, if there is a smooth or even linear relationship between the mean of the response variable and the regressor variable, then the tree will require repeated splits in the same variable to approximate this.

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    $\begingroup$ If this solved your problem, please accept the answer here on StatsExchange so that it also is flagged as solved. $\endgroup$ – Achim Zeileis Nov 19 '18 at 20:22

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