calculate_best_validation_external_by_metrics: Method that calculates which algorithm and which metric...
In laperez/Clustering: Techniques for Evaluating Clustering
calculate_best_validation_external_by_metrics R Documentation
Method that calculates which algorithm and which metric behaves best for the
datasets provided.
Description
Method that calculates which algorithm and which metric behaves best for the
datasets provided.
Usage
calculate_best_validation_external_by_metrics(df, metric)
Arguments
df
Data matrix or data frame.
metric
String with the metric.
Value
Return a table with the algorithm and the best performing metric for
the datasets.
laperez/Clustering documentation built on April 23, 2024, 3:41 a.m.
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| calculate_best_validation_external_by_metrics | R Documentation |
Method that calculates which algorithm and which metric behaves best for the datasets provided.
Description
Method that calculates which algorithm and which metric behaves best for the datasets provided.
Usage
calculate_best_validation_external_by_metrics(df, metric)
Arguments
df |
Data matrix or data frame. |
metric |
String with the metric. |
Value
Return a table with the algorithm and the best performing metric for the datasets.
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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