Scikit-learn Visualization Guide: Making Models Speak

Use the Display API to replace complex Matplotlib code

[ Scikit-learn Visualization Guide: Making Models Speak. ](https://preview.redd.it/pimy1i38a1qc1.png?width=896&format=png&auto=webp&s=f31492e48a5d39171c60d8e96ee8698c670327e7)

# Introduction

In the journey of machine learning, explaining models with visualization is as important as training them.

A good chart can show us what a model is doing in an easy-to-understand way. Here's an example:

[ Decision boundaries of two different generalization performances. ](https://preview.redd.it/3rrwu8rfa1qc1.png?width=863&format=png&auto=webp&s=9425bbe57deb98a854a40fdc0979149637078047)

This graph makes it clear that for the same dataset, the model on the right is better at …

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