tuningresult-class {CMA} | R Documentation |
Object returned by the function tune
hypergrid
: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
: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
:fold
:tune
show(tuninresult-object)
for brief information.best(tuningresult-object)
to see which
hyperparameter/hyperparameter combination has performed
best in terms of the misclassification rate,
s. best,tuningresult-method
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
Martin Slawski martin.slawski@campus.lmu.de
Anne-Laure Boulesteix http://www.slcmsr.net/boulesteix