mobforest.output

0th

Percentile

Model-based random forest object

Random Forest Output object that stores all the results including predictions, variable importance matrix, model, family of error distributions, and observed responses.

Usage
mobforest.output(oob_predictions, general_predictions,
  new_data_predictions, varimp_object, model_used, family, train_response,
  new_response = data.frame(matrix(0, 0, 0)))
Arguments
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.

See Also

'>prediction.output, '>varimp.output

Aliases
  • mobforest.output
Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)

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