20.69 The Original C5.0 Implementation
The (Kuhn and Quinlan 2021) 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: 139059
## Number of predictors: 20
##
## Tree size: 707
##
## Non-standard options: attempt to group attributesC5imp(model)## Overall
## humidity_3pm 100.00
## rain_today 93.23
## wind_gust_speed 88.75
## sunshine 83.92
## pressure_3pm 34.23
## cloud_3pm 23.75
## wind_dir_3pm 15.04
## min_temp 14.29
## rainfall 13.82
## temp_9am 12.93
## temp_3pm 8.70
## wind_speed_9am 8.05
## humidity_9am 6.18
## wind_dir_9am 6.11
## wind_speed_3pm 5.97
## pressure_9am 5.55
## wind_gust_dir 5.35
## max_temp 5.01
## evaporation 4.61
## cloud_9am 4.05% 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. 2021. C50: C5.0 Decision Trees and Rule-Based Models. https://topepo.github.io/C5.0/.
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