Classify the input with a Random forest classifier. Function uses a vector of tree depth and does a grid search with mtry parameter for the best training error. Once the best Parameters have been identified, it uses them to predict on the test data.
A list generated by the function PrepareData. It is a list with two components. One is a vector of labels, the other is a data frame of features. The other element of the list is a data frame of test features.
A vector vector of vaues of number of trees that should be tested.
A list with a dataframe of errors a vector of predictions with the best parameters
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