Introduction: scikit-learn and Model Evaluation
Explore the basics of scikit-learn for building and evaluating binary classification models. Understand key evaluation metrics including true and false positive rates, confusion matrix, ROC curve, and precision-recall curve. Gain foundational skills to assess model performance using practical examples.
We'll cover the following...
We'll cover the following...
Overview
This chapter introduces the core functionality of scikit-learn for training models and making predictions, through simple use cases of logistic and linear ...