Decision Tree
In plain terms
A model that makes predictions through a series of branching questions.
Going deeper
A decision tree splits data by feature thresholds at each node, leading to a prediction at the leaves, easy to interpret. It mimics a flowchart of yes/no decisions.
Under the hood
Prone to overfitting alone; pruning and ensembles (forests, boosting) improve generalization.
Examples
Classification, regression, interpretable models, CART, feature splits.
Think of it like...
Like a flowchart of yes/no questions that narrows down to an answer.