plotD3_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.

```
plotD3_lift(object, ..., scale_plot = FALSE, zeros = TRUE)
plotD3LIFT(object, ..., scale_plot = FALSE)
```

`object` |
An object of class 'auditor_model_evaluation' created with |

`...` |
Other 'auditor_model_evaluation' objects to be plotted together. |

`scale_plot` |
Logical, indicates whenever the plot should scale with height. By default it's FALSE. |

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

a `r2d3`

object

`plot_lift`

```
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$survived)
# validate a model with auditor
eva_glm <- model_evaluation(glm_audit)
# plot results
plot_roc(eva_glm)
plot(eva_glm)
#add second model
model_glm_2 <- glm(survived ~ .-age, family = binomial, data = titanic_imputed)
glm_audit_2 <- audit(model_glm_2,
data = titanic_imputed,
y = titanic_imputed$survived,
label = "glm2")
eva_glm_2 <- model_evaluation(glm_audit_2)
plotD3_lift(eva_glm, eva_glm_2)
```

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