What is a root?
The starting node (the first condition) in a decision tree.
root explained in plain English
The starting node (the first condition) in a decision tree. By convention, diagrams put the root at the top of the decision tree. For example:
Example
Practitioners refer to root when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.
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A statistical way of comparing two (or more) techniques—the A and the B.
- ablation
A technique for evaluating the importance of a feature or component by temporarily removing it from a model.
- accuracy
The number of correct classification predictions divided by the total number of predictions.
- activation function
A function that enables neural networks to learn nonlinear (complex) relationships between features and the label.
- active learning
A training approach in which the algorithm chooses some of the data it learns from.
- adaptation
Synonym for tuning or fine-tuning.
- agglomerative clustering
See hierarchical clustering.
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The process of identifying outliers.
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See PR AUC (Area under the PR Curve).
- area under the ROC curve
See AUC (Area under the ROC curve).