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When using the formula interface for C5.0() everything works as expected. But when using the x and y arguments predictions do not work. A Stackoverflow question from earlier this year came to the same conclusion.
Interestingly, when fitting using {workflows}, predictions work for an untuned boost_tree() model and for a tuned or untuned decision_tree() model. But this error occurs when trying to tune a boost_tree() model.
To make matters worse the {C5.0}website shows this error in the documentation for the predict() function as seen in the image below.
The text was updated successfully, but these errors were encountered:
When using the
formula
interface forC5.0()
everything works as expected. But when using thex
andy
arguments predictions do not work. A Stackoverflow question from earlier this year came to the same conclusion.Here is some code to illustrate.
Interestingly, when fitting using
{workflows}
, predictions work for an untunedboost_tree()
model and for a tuned or untuneddecision_tree()
model. But this error occurs when trying to tune aboost_tree()
model.To make matters worse the
{C5.0}
website shows this error in the documentation for thepredict()
function as seen in the image below.The text was updated successfully, but these errors were encountered: