20.69 The Original C5.0 Implementation

The (Kuhn and Quinlan 2023) 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: 158807 
## Number of predictors: 20 
## 
## Tree size: 1007 
## 
## Non-standard options: attempt to group attributes

C5imp(model)

##                 Overall
## humidity_3pm     100.00
## wind_gust_speed   94.25
## sunshine          85.91
## rain_today        79.39
## pressure_3pm      50.77
## cloud_3pm         33.35
## rainfall          32.90
## pressure_9am      26.86
## wind_dir_3pm      23.18
## max_temp          22.79
## temp_9am          13.83
## humidity_9am      12.01
## temp_3pm          11.70
## wind_dir_9am      11.39
## min_temp          10.35
## wind_gust_dir      9.78
## wind_speed_3pm     8.23
## wind_speed_9am     6.73
## cloud_9am          6.16
## evaporation        1.76

% 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. 2023. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.

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