How to Choose the Right Machine Learning Model for Different Data and Different Problems

Intro

Discovering a ideal model, an estimator or a classifier for a machine learning task can often pose the greatest challenge. Given the diversity of data types and problem complexities, certain models outperform others. This necessitates a tailored selection process.

The flowchart presented below is designed to give us a bit of a rough guide on how to approach problems with regard to which models to try on our data.

Classifier, Estimator, Machine Learning — Nov 22, 2021