20.68 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: 145946 
## Number of predictors: 20 
## 
## Tree size: 875 
## 
## Non-standard options: attempt to group attributes
C5imp(model)
##                 Overall
## humidity_3pm     100.00
## rain_today        93.46
## wind_gust_speed   93.29
## sunshine          80.53
## pressure_3pm      34.13
## pressure_9am      20.40
## cloud_3pm         18.42
## max_temp          15.07
## temp_9am          14.23
## rainfall          13.82
## wind_dir_3pm      12.83
## humidity_9am      10.98
## temp_3pm          10.36
## wind_dir_9am      10.10
## wind_speed_3pm     9.16
## min_temp           6.70
## wind_speed_9am     5.94
## wind_gust_dir      5.52
## cloud_9am          4.37
## evaporation        3.92

% 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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