What are training and evaluation models in AI?

What are training and evaluation models in AI?

Training models are algorithms that learn from data, while evaluation models assess their performance.

How do I choose the right training model for my data?

Choosing the right model depends on your data type, size, and the problem you're trying to solve.

Can you explain the difference between training and validation sets?

Sure! The training set is used to train the model, while the validation set is used to tune its parameters.

What metrics should I use to evaluate my model's performance?

Common metrics include accuracy, precision, recall, and F1 score, depending on your specific use case.