| get_auprc {ICBioMark} | R Documentation |
AUPRC Metrics for Predictions
Description
A function to return AUPRC metrics for predictions vs actual values. Works well when piped to straight from get_predictions().
Usage
get_auprc(predictions, biomarker_values, model = "", threshold = 300)
Arguments
predictions |
(list) A list with two elements, 'predictions' and 'panel_lengths', as produced by the function get_predictions(). |
biomarker_values |
(dataframe) A dataframe with two columns, 'Tumor_Sample_Barcode' and a column with the name of the biomarker in question containing values. |
model |
(character) The name of the model type producing these predictions. |
threshold |
(numeric) The threshold for biomarker high/low categorisation. |
Value
A dataframe with 5 columns:
panel_length: the length of each panel.
model: the model that produced the predictions.
biomarker: the name of the biomarker in question.
stat: the AUPRC values for each panel.
metric: a constant character "AUPRC".
Examples
example_auprc <- get_auprc(predictions = get_predictions(example_refit_panel,
new_data = example_tables$val), biomarker_values = example_tmb_tables$val,
model = "Refitted T", threshold = 10)