Description Usage Arguments See Also
View source: R/mobforest.output.R
Random Forest Output object that stores all the results including predictions, variable importance matrix, model, family of error distributions, and observed responses.
1 2 3 | mobforest.output(oob_predictions, general_predictions,
new_data_predictions, varimp_object, model_used, family, train_response,
new_response = data.frame(matrix(0, 0, 0)))
|
oob_predictions |
Predictions on out-of-bag data. |
general_predictions |
Predictions on learning data. |
new_data_predictions |
Predictions on new test data. |
varimp_object |
The variable importance object. |
model_used |
The model used. |
family |
A description of the error distribution and link function to be used in the model. |
train_response |
Response outcome of training data. |
new_response |
Response outcome of test data. |
prediction.output
,
varimp.output
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