STEP 10: Optimize your model

Congratulations! By now, you have successfully created a model and evaluated it, but is it the end? Of course not!
Let's optimize our model :)

**Task**

- Tune model parameters
_Considering, we have a relatively small size of the data and features, set high number of parameters for tuning._

- Optimize model classifier
_Fit the model with the tuned parameters and see the improvement in the accuracy of the model._

- Evaluate optimized model on testing sample
_Predict using the new-found accuracy!_

The issue names no files, tests, or entry points. Locate the existing model training and evaluation notebook, then identify where parameter tuning, classifier fitting, and test-sample prediction belong. Done means the optimized model is evaluated and its accuracy is compared with the existing model.

Written by the indexing model from the issue text.