mi_run_bmr: Compare classification models with small samples.
In MantaID: A Machine-Learning Based Tool to Automate the Identification of Biological Database IDs
mi_run_bmr R Documentation
Compare classification models with small samples.
Description
Compare classification models with small samples.
Usage
mi_run_bmr(data, row_num = 1000, resamplings = rsmps("cv", folds = 10))
Arguments
data
A tibble.All are numeric except the first column is a factor.
row_num
The number of samples used.
resamplings
R6/Resampling.Resampling method.
Value
A list of R6 class of benchmark results and scores of test set.
examples
data(mi_data_procID)
mi_run_bmr(mi_data_procID)
MantaID documentation built on Sept. 11, 2024, 6 p.m.
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| mi_run_bmr | R Documentation |
Compare classification models with small samples.
Description
Compare classification models with small samples.
Usage
mi_run_bmr(data, row_num = 1000, resamplings = rsmps("cv", folds = 10))
Arguments
data |
A tibble.All are numeric except the first column is a factor. |
row_num |
The number of samples used. |
resamplings |
R6/Resampling.Resampling method. |
Value
A list of R6 class of benchmark results and scores of test set. examples data(mi_data_procID) mi_run_bmr(mi_data_procID)
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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