Exercise

# Model results using GridSearchCV

You discovered that the **best parameters for your model** are that the split criterion should be set to 'gini', the number of estimators (trees) should be 30, the maximum depth of the model should be 8 and the maximum features should be set to `"log2"`

.

Let's give this a try and see how well our model performs. You can use the `get_model_results()`

function again to save time.

Instructions

**100 XP**

- Input the optimal settings into the model definition.
- Fit the model, obtain predictions and get the performance parameters with
`get_model_results()`

.