I want to use caret to build a model with an algorithm that actually has no
parameters to find.
How do I stop it from repeatedly building the same model 25 times?
library(caret)
data(mdrr)
LOGISTIC_model <- train(mdrrDescr,mdrrClass
,method='glm'
,family=binomial(link="logit")
)
LOGISTIC_model
528 samples
342 predictors
2 classes: 'Active', 'Inactive'
Pre-processing: None
Resampling: Bootstrap (25 reps)
Summary of sample sizes: 528, 528, 528, 528, 528, 528, ...
Resampling results
Accuracy Kappa Accuracy SD Kappa SD
0.552 0.0999 0.0388 0.0776 --
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