20.62 Party Tree
The (Hothorn et al. 2024) package can be used to draw decision trees using partykit::as.party() from (Hothorn and Zeileis 2024) which can be installed from R-Forge:
## [1] "rpart"
The textual presentation of an rpart decision tree can also be improved using party.
##
## Model formula:
## rain_tomorrow ~ rain_today + temp_3pm + temp_9am + cloud_3pm +
## cloud_9am + pressure_3pm + pressure_9am + humidity_3pm +
## humidity_9am + wind_speed_3pm + wind_speed_9am + wind_dir_3pm +
## wind_dir_9am + wind_gust_speed + wind_gust_dir + sunshine +
## evaporation + rainfall + max_temp + min_temp
##
## Fitted party:
## [1] root
## | [2] humidity_3pm < 71.5: No (n=132754, err=14.0%)
## | [3] humidity_3pm >= 71.5
## | | [4] humidity_3pm < 82.5
## | | | [5] rainfall < 0.85: No (n=7884, err=34.9%)
## | | | [6] rainfall >= 0.85: Yes (n=6351, err=40.6%)
....
References
Hothorn, Torsten, Kurt Hornik, Carolin Strobl, and Achim Zeileis. 2024. Party: A Laboratory for Recursive Partytioning. http://party.R-forge.R-project.org.
Hothorn, Torsten, and Achim Zeileis. 2024. Partykit: A Toolkit for Recursive Partytioning. http://partykit.r-forge.r-project.org/partykit/.
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