score_acc | R Documentation |

Accuracy

```
score_acc(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_acc(glm_audit)
```

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