20.68 The Original C5.0 Implementation

The (Kuhn and Quinlan 2025) 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: 192787 
## Number of predictors: 20 
## 
## Tree size: 1072 
## 
## Non-standard options: attempt to group attributes
C5imp(model)
##                 Overall
## humidity_3pm     100.00
## wind_gust_speed   90.20
## sunshine          89.19
## rain_today        87.79
## pressure_3pm      34.27
## pressure_9am      27.40
## cloud_3pm         22.99
## wind_dir_3pm      18.59
## rainfall          18.24
## max_temp          14.86
## temp_9am          14.72
## wind_gust_dir     12.88
## min_temp          11.37
## wind_speed_9am    11.36
## temp_3pm           9.92
## wind_dir_9am       9.70
## humidity_9am       9.55
## wind_speed_3pm     8.67
## cloud_9am          4.68
## evaporation        2.58

% 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. 2025. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.


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