tuningresult-class: "tuningresult"
Description
Object returned by the function tuneSlots
hypergrid:- A
data.frame representing the
grid of values that were tried and
evaluated. The number of columns equals
the number of tuned hyperparameters
and the number rows equals the number
of all possible combinations of the
discrete grids. tuneres:- A list whose lengths equals the number
of different
learningsets for which
tuning has been performed and whose
elements are numeric vectors with length
equal to the number of rows of hypergrid (s.above),
containing the misclassifcation
rate belonging to the respective
hyperparameter/hyperparameter combination.
In order to to get an overview
about the best hyperparmeter/hyperparameter
combination, use the convenience method
best method:- Name of the classifier that has been tuned.
fold:- Number of cross-validation fold used for
tuning, s. argument of the same name in
tune
Methods
- show
- Use
show(tuninresult-object) for brief information. - best
- Use
best(tuningresult-object) to see which
hyperparameter/hyperparameter combination has performed
best in terms of the misclassification rate,
s. best,tuningresult-method - plot
- Use
plot(tuningresult-object, iter, which)
to display the performance of hyperparameter/hyperparameter
combinations graphically, either as one-dimensional or
as two-dimensional (contour) plot,
s. plot,tuningresult-method