20.69 The Original C5.0 Implementation
The (Kuhn and Quinlan 2022) package interfaces the original C code of the C5.0 implementation by Ross Quinlan, the developer of the decision tree induction algorithm.
library(C50)
model <- C5.0(form, ds[tr, vars])model##
## Call:
## C5.0.formula(formula=form, data=ds[tr, vars])
##
## Classification Tree
## Number of samples: 123722
## Number of predictors: 20
##
## Tree size: 780
##
## Non-standard options: attempt to group attributesC5imp(model)## Overall
## humidity_3pm 100.00
## wind_gust_speed 92.32
## sunshine 91.59
## rain_today 84.34
## pressure_3pm 47.63
## min_temp 29.55
## rainfall 22.49
## wind_dir_3pm 16.85
## humidity_9am 14.23
## cloud_3pm 13.44
## max_temp 11.21
## wind_gust_dir 10.48
## temp_9am 10.37
## wind_speed_9am 9.77
## temp_3pm 9.61
## wind_dir_9am 8.66
## wind_speed_3pm 7.49
## pressure_9am 6.58
## cloud_9am 5.93
## evaporation 2.88% DONT EVAL YET - SEEMS TO BE TAKING LONG TIME
plot(model)I am not aware of any converter from a C5.0 tree to an rpart tree and so fancyRpartPlot() will not be useful here.
References
Kuhn, Max, and Ross Quinlan. 2022. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.
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