prediction_accuracy: Calculate accuracy percentage for ranger predicted_rfs
In RJ333/phyloseq2ML: Connects Phyloseq To Ranger And Keras
Description
Usage
Arguments
Value
View source: R/ranger_classification.R
Description
This function calculates predicted_rf accuracy, which means it counts the
amount of true positives and true negatives.
Usage
1
prediction_accuracy(predicted_rf, test_set)
Arguments
predicted_rf
the ranger prediction object
test_set
the test_set containing the true values
Value
The accuracy in percentage
RJ333/phyloseq2ML documentation built on June 2, 2020, 9:25 p.m.
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.
Description Usage Arguments Value
View source: R/ranger_classification.R
Description
This function calculates predicted_rf accuracy, which means it counts the amount of true positives and true negatives.
Usage
1 | prediction_accuracy(predicted_rf, test_set)
|
Arguments
predicted_rf |
the ranger prediction object |
test_set |
the test_set containing the true values |
Value
The accuracy in percentage
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.