mi_train_rg: Random Forest Model Training.
In MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
mi_train_rg R Documentation
Random Forest Model Training.
Description
Random Forest Model Training.
Usage
mi_train_rg(train, test, measure = msr("classif.acc"), instance = NULL)
Arguments
train
A dataframe.
test
A dataframe.
measure
Model evaluation method.
instance
A tuner.
Value
A list of learner for predicting and predicted result of test set.
MantaID documentation built on Sept. 11, 2024, 6 p.m.
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| mi_train_rg | R Documentation |
Random Forest Model Training.
Description
Random Forest Model Training.
Usage
mi_train_rg(train, test, measure = msr("classif.acc"), instance = NULL)
Arguments
train |
A dataframe. |
test |
A dataframe. |
measure |
Model evaluation method. |
instance |
A tuner. |
Value
A list of learner for predicting and predicted result of test set.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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