Calculates AUROC and AUPRC metrics with optional visualization
Usage
calculate_auc(
network_table,
ground_truth,
return_plot = FALSE,
line_color = "#1563cc",
line_width = 1,
tag_levels = "A"
)
Examples
data("example_matrix")
data("example_ground_truth")
network_table <- inferCSN(example_matrix)
#> ℹ [2025-08-24 03:06:16] Running for <dense matrix>.
#> ℹ [2025-08-24 03:06:16] Checking input parameters.
#> ℹ [2025-08-24 03:06:16] Using L0 sparse regression model.
#> ℹ [2025-08-24 03:06:16] Using 1 core
#> ⠙ [2025-08-24 03:06:16] Running [6/18] ETA: 0s
#> ✔ [2025-08-24 03:06:16] Completed 18 tasks in 175ms
#>
#> ℹ [2025-08-24 03:06:16] Building results
#> ✔ [2025-08-24 03:06:16] Run done.
calculate_auc(
network_table,
example_ground_truth,
return_plot = TRUE
)
#> $metrics
#> Metric Value
#> 1 AUROC 0.952
#> 2 AUPRC 0.437
#>
#> $plot
#>