Random Forest Output object that stores all the results including predictions, variable importance matrix, model, family of error distributions, and observed responses.
mobforest.output(oob_predictions, general_predictions,
new_data_predictions, varimp_object, model_used, family, train_response,
new_response = data.frame(matrix(0, 0, 0)))Predictions on out-of-bag data.
Predictions on learning data.
Predictions on new test data.
The variable importance object.
The model used.
A description of the error distribution and link function to be used in the model.
Response outcome of training data.
Response outcome of test data.