tuningresult-class: "tuningresult"
In CMA: Synthesis of microarray-based classification

Object returned by the function tune

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

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