What are conditionals in machine learning?

What are conditionals in machine learning?

Conditionals in machine learning refer to the use of if-then statements to make decisions based on input data.

Can you give me an example of how conditionals are used?

Sure! In a decision tree, a conditional might check if a feature value is greater than a threshold to decide the next split.

How do conditionals affect model performance?

Conditionals can significantly impact model performance by improving accuracy and interpretability, but too many can lead to overfitting.

Are there any alternatives to using conditionals?

Yes, alternatives include using probabilistic models or neural networks, which can learn complex patterns without explicit conditionals.