We are no longer updating the Amazon Machine Learning service or accepting new users for it. This documentation is available for existing users, but we are no longer updating it. For more information, see [ What is Amazon Machine Learning](https://docs.aws.amazon.com/machine-learning/latest/dg/what-is-amazon-machine-learning.html).

# Improving Model Accuracy
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Obtaining a ML model that matches your needs usually involves iterating through this ML process and trying out a few variations. You might not get a very predictive model in the first iteration, or you might want to improve your model to get even better predictions. To improve performance, you could iterate through these steps:

1. Collect data: Increase the number of training examples

1. Feature processing: Add more variables and better feature processing

1. Model parameter tuning: Consider alternate values for the training parameters used by your learning algorithm

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Machine Learning. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query machine-learning` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).