evaluation_metrics: Evaluation metrics for model predictions
In glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models
evaluation_metrics R Documentation
Evaluation metrics for model predictions
Description
Computes a set of performance metrics (e.g., AUC, TSS, CBI) based on observed and predicted values.
Usage
evaluation_metrics(df, na.rm = TRUE, method = "spearman")
Arguments
df
A data.frame with columns: 'observed' (0/1), 'predicted' (0/1), 'probability' (numeric).
na.rm
Logical. Whether to remove rows with NA values.
method
Correlation method for CBI ("spearman", "pearson", or "kendall").
Value
A named list or data.frame with evaluation metrics.
glossa documentation built on June 8, 2025, 1:20 p.m.
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| evaluation_metrics | R Documentation |
Evaluation metrics for model predictions
Description
Computes a set of performance metrics (e.g., AUC, TSS, CBI) based on observed and predicted values.
Usage
evaluation_metrics(df, na.rm = TRUE, method = "spearman")
Arguments
df |
A data.frame with columns: 'observed' (0/1), 'predicted' (0/1), 'probability' (numeric). |
na.rm |
Logical. Whether to remove rows with NA values. |
method |
Correlation method for CBI ("spearman", "pearson", or "kendall"). |
Value
A named list or data.frame with evaluation metrics.
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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