Confusion matrix for a logistic cr_result

Confusion matrix for a logistic cr_result

Usage

cr_confusion_matrix(result, threshold = 0.5)

Arguments

result

A cr_result from cr_logistic().

threshold

Classification threshold on predicted probability (default 0.5).

Value

A tibble with sensitivity, specificity, ppv, npv, accuracy, and the confusion-matrix counts.

Examples

exp <- cr_example_experiment(seed = 1, n_cells_per_well = 30)
res <- cr_logistic(exp, "marker_1", "CompoundA_high", "Untreated")
cr_confusion_matrix(res, 0.5)
#> # A tibble: 1 × 10
#>   threshold sensitivity specificity   ppv   npv accuracy    tp    tn    fp    fn
#>       <dbl>       <dbl>       <dbl> <dbl> <dbl>    <dbl> <int> <int> <int> <int>
#> 1       0.5       0.927        0.95 0.952 0.925    0.938   472   456    24    37