5 Simple Steps to Choose the Best Machine Learning Algorithm That Fits Your AI Project Needs
- Understand Your Project Goal. ...
- Analyze Your Data by Size, Processing, and Annotation Required. ...
- Evaluate the Speed and Training Time. ...
- Find Out the Linearity of Your Data. ...
- Decide on the Number of Features and Parameters.
How will you know which machine learning algorithm to choose for your problem?
Now, to use which algorithm depends on the objective of the business problem. If inference is the goal, then restrictive models are better as they are much more interpretable. Flexible models are better if higher accuracy is the goal. In general, as the flexibility of a method increases, its interpretability decreases.