getEvaluation: Predict and evaluate performance of a machine learning model
In jsalminen/KaggleSolveR:
Description
Usage
Arguments
Value
Description
Predict and evaluate performance of a machine learning model
Usage
1
getEvaluation(ml_model, model_name, valid_x, valid_y, metric)
Arguments
ml_model
A machine learning model
model_name
A string specifying the name of the model
valid_x
A data frame containing the features
valid_y
A data frame containing the correct answers
metric
A string containing the metric to be used
Value
Score on prediction
jsalminen/KaggleSolveR documentation built on May 20, 2019, 5:43 p.m.
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Description Usage Arguments Value
Description
Predict and evaluate performance of a machine learning model
Usage
1 | getEvaluation(ml_model, model_name, valid_x, valid_y, metric)
|
Arguments
ml_model |
A machine learning model |
model_name |
A string specifying the name of the model |
valid_x |
A data frame containing the features |
valid_y |
A data frame containing the correct answers |
metric |
A string containing the metric to be used |
Value
Score on prediction
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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