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: 151934 
## Number of predictors: 20 
## 
## Tree size: 768 
## 
## Non-standard options: attempt to group attributes

C5imp(model)

##                 Overall
## humidity_3pm     100.00
## wind_gust_speed   93.83
## sunshine          88.14
## rain_today        79.82
## pressure_3pm      47.08
## rainfall          26.20
## min_temp          25.39
## cloud_3pm         14.44
## wind_dir_3pm      13.95
## temp_3pm          13.18
## max_temp          12.92
## wind_speed_9am    12.90
## temp_9am          10.64
## wind_gust_dir      9.78
## wind_speed_3pm     9.76
## humidity_9am       8.15
## wind_dir_9am       6.76
## cloud_9am          4.83
## pressure_9am       4.82
## evaporation        2.37

% 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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