plot_lift | R Documentation |

LIFT is a plot of the rate of positive prediction against true positive rate for the different thresholds. It is useful for measuring and comparing the accuracy of the classificators.

```
plot_lift(object, ..., zeros = TRUE)
plotLIFT(object, ...)
```

`object` |
An object of class |

`...` |
Other |

`zeros` |
Logical. It makes the lines start from the |

A ggplot object.

`model_evaluation`

```
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$survived)
# validate a model with auditor
eva_glm <- model_evaluation(glm_audit)
# plot results
plot_lift(eva_glm)
plot(eva_glm, type ="lift")
model_glm_2 <- glm(survived ~ .-age, family = binomial, data = titanic_imputed)
glm_audit_2 <- audit(model_glm_2,
data = titanic_imputed,
y = titanic_imputed$survived,
label = "glm2")
eva_glm_2 <- model_evaluation(glm_audit_2)
plot_lift(eva_glm, eva_glm_2)
plot(eva_glm, eva_glm_2, type = "lift")
```

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