plot_pr_curve: Plotting Precision-Recall Curve
In MLwrap: Machine Learning Modelling for Everyone
View source: R/plotting_utils.R
plot_pr_curve R Documentation
Plotting Precision-Recall Curve
Description
The plot_pr_curve() function generates precision-recall curves, which are particularly valuable for evaluating
classifier performance on imbalanced datasets. These curves show the relationship between precision and recall
across different decision thresholds, complementing ROC curve analysis.
Usage
plot_pr_curve(analysis_object)
Arguments
analysis_object
Fitted analysis_object with 'fine_tuning()'.
Value
analysis_object
MLwrap documentation built on Aug. 8, 2025, 6:43 p.m.
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View source: R/plotting_utils.R
| plot_pr_curve | R Documentation |
Plotting Precision-Recall Curve
Description
The plot_pr_curve() function generates precision-recall curves, which are particularly valuable for evaluating classifier performance on imbalanced datasets. These curves show the relationship between precision and recall across different decision thresholds, complementing ROC curve analysis.
Usage
plot_pr_curve(analysis_object)
Arguments
analysis_object |
Fitted analysis_object with 'fine_tuning()'. |
Value
analysis_object
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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