What is an objective?
A metric that your algorithm is trying to optimize.
objective explained in plain English
A metric that your algorithm is trying to optimize.
Example
Practitioners refer to objective 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 technique for evaluating the importance of a feature or component by temporarily removing it from a model.
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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.
- area under the PR curve
See PR AUC (Area under the PR Curve).
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See AUC (Area under the ROC curve).