Description Usage Arguments Value See Also Examples
Compute the following metrics: "Accuracy", "Precision", "Recall", "Specificity", "NPV" and "F1".
1 2 | compute_metrics(data, threshold = 0.5, obs = "obs", prob = "prob",
pos_class = "Yes", neg_class = "No")
|
data |
A dataframe with the observed and the predicted class. |
threshold |
A numerical value or a sequence of numerical values (default = 0.5). The threshold(s) to compute the metrics. |
obs |
A string (default = "obs"). The column's name of the observed class. |
prob |
A string (default = "prob"). The column's name of the predicted probabilities. |
pos_class |
A string (default = "Yes"). How the positive class is coded. |
neg_class |
A string (default = "No"). How the negative class is coded. |
A dataframe with the computed metrics.
compute_predict_class
,
compute_optimal_threshold
, objective_threshold
1 2 3 4 5 6 7 8 |
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