What does “Decision Tree” mean?

The surface in feature space that separates classes predicted by a classifier.

An input variable used by a model to make predictions.

The broad field of building systems that perform tasks requiring pattern recognition, reasoning, language, or decision-making.

The core training algorithm that updates model weights by propagating prediction errors backward through the network.

Combining predictions from multiple models to improve robustness or accuracy.

Designing or transforming input variables to make learning easier and more effective.