A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space
A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space
A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space. Decision trees are represented as hierarchical models of "decisions" over the feature space, making them powerful models that are also easily interpretable.
Decision tree
A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space
A decision tree is a model for supervised learning that can construct a non-linear decision boundary over the feature space. Decision trees are represented as hierarchical models of "decisions" over the feature space, making them powerful models that are also easily interpretable.
Decision tree