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)
<- C5.0(form, ds[tr, vars]) model
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. 2023. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.
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