Supervised Learning Models
Now that you’re familiar with the basics of supervised learning — problem types, algorithmic approaches, model evaluation and selection — we discuss the different features- and similarity-based models in more detail:
![image](../images/04_supervised_intro/comparison_all4.png)
Now that you’re familiar with the basics of supervised learning — problem types, algorithmic approaches, model evaluation and selection — we discuss the different features- and similarity-based models in more detail: