Exercise

# Constructing the cumulative gains curve

The cumulative gains curve is an evaluation curve that assesses the performance of your model. It shows the percentage of targets reached when considering a certain percentage of your population with the highest probability to be target according to your model.

To construct this curve, you can use the `.plot_cumulative_gain()`

method in the `scikitplot`

module and the `matplotlib.pyplot`

module. As for each model evaluation metric or curve, you need the true target values on the one hand and the predictions on the other hand to construct the cumulative gains curve.

Instructions

**100 XP**

- Import the
`matplotlib.pyplot`

module. - Import the
`scikitplot`

module. - Construct the cumulative gains curve, given that the model outputs the values in
`predictions_test`

and the true target values are in`targets_test`

.