score_f1 | R Documentation |
F1 Score
score_f1(object, cutoff = 0.5, data = NULL, y = NULL, ...)
object |
An object of class |
cutoff |
Threshold value, which divides model predicted values (y_hat) to calculate confusion matrix.
By default it's |
data |
New data that will be used to calculate the score. Pass
|
y |
New y parameter will be used to calculate score. |
... |
Other arguments dependent on the type of score. |
An object of class auditor_score
.
data(titanic_imputed, package = "DALEX")
# fit a model
model_glm <- glm(survived ~ ., family = binomial, data = titanic_imputed)
glm_audit <- audit(model_glm,
data = titanic_imputed,
y = titanic_imputed$survived)
# calculate score
score_f1(glm_audit)
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