findRMSE: Builds a predictive model and returns the RMSE
In xsultan/activity_recognition: Detecting steps on various scenarios
Description
Usage
Arguments
Value
Description
Builds a predictive model and return the Root-Mean-Square Error (the difference between the actual and the predicted values).
Usage
1
findRMSE(dataSource, predictor, number_of_runs)
Arguments
dataSource
the data frame to process.
predictor
the predictor to build the model with, a factor of predictors can be passed.
number_of_runs
Number of of folds of the cross validation.
Value
factor
xsultan/activity_recognition documentation built on May 4, 2019, 1:26 p.m.
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Description Usage Arguments Value
Description
Builds a predictive model and return the Root-Mean-Square Error (the difference between the actual and the predicted values).
Usage
1 | findRMSE(dataSource, predictor, number_of_runs)
|
Arguments
dataSource |
the data frame to process. |
predictor |
the predictor to build the model with, a factor of predictors can be passed. |
number_of_runs |
Number of of folds of the cross validation. |
Value
factor
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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