Given a supervised machine learning problem, the first question many people ask is usually what is the best classification or regression algorithm to solve it. However, there is no one-size-fits-all solution, or no free lunch. No one could know which algorithm will work the best before trying multiple ones and fine-tuning the optimal one. We will be looking into best practices around this in the following sections.
Best practices in the model training, evaluation, and selection stage
Get Python Machine Learning By Example - Second Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.