Scikit-learn tutorial

Set of examples for scikit-learn self-learning.

Work in progress...

This tutorial is being created. It is not finished.

How to measure model performance

Standard metrics precsion, recall, f1 measure -

The example shows how to compute basic classifier measures like precision, recall, f1

File: metrics.py

precision-recall curve

Examples explain how to interpret the precision-recall curve in an ideal, random case. What to do if the curve of two models looks similar.

File:

• precision-recall-curve.py
• precision-recall-curve_edge_case.py
• precision-recall-curve_model_comparision.py

Dev environment

• python > 3.6
• pipenv
• sklearn >0.21.3