Python Data Science Essentials

Scoring functions

In order to evaluate the performance of the system and check how close you are to the objective that you have in mind, you need to use a function that scores the outcome. Typically, different scoring functions are used to deal with binary classification, multilabel classification, regression, or a clustering problem. Now, let's see the most popular functions for each of these tasks.

Multilabel classification

When your task is to predict more than a single label (for instance, what's the weather like today? Which flower is this? What's your job?), it's called a multilabel classification. This is a very popular task, and many performance metrics exist to evaluate classifiers. Of course, you can use all these measures in the case ...