Classification Glossary

Browse 10 classification terms defined in plain English, from the cultural dictionary of computing.

10 Classification Terms

AI Type
A category or class of AI system, model, or task, such as generative AI, classification, recommendation, or speech recognition. The phrase is often used...
Classifier
A model or component that assigns an input to one or more categories based on learned patterns or defined criteria. Classifiers are widely used in spam...
confusion matrix
A table that summarizes the performance of a classification model by showing counts of true positives, true negatives, false positives, and false negatives....
Cross-Entropy Loss
A loss function that measures how far predicted probability distributions are from the target distribution. It influences how models are trained, evaluated, or...
F1 score
The harmonic mean of precision and recall, providing a single metric that balances both. Ranges from 0 to 1, where 1 is perfect. The F1 score is especially...
K-Nearest Neighbors
A simple method that predicts labels or values from the most similar examples in the dataset. It influences how models are trained, evaluated, or served, and...
precision (ML)
The fraction of positive predictions that are actually correct: true positives divided by (true positives + false positives). High precision means the model...
Protection Level
A defined tier or category describing how strongly something must be protected based on sensitivity, impact, or regulatory requirements. Protection levels are...
recall (ML)
The fraction of actual positive cases that the model correctly identified: true positives divided by (true positives + false negatives). High recall means the...
Risk Category
A grouping used to classify risks by type, such as operational, privacy, compliance, third-party, insider, or availability risk. Risk categories help...

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