Concept graph
Glossary
Short definitions with deeper context and cross-links to sibling terms.
machine-learning
classification
The task of predicting categorical labels based on input data.
Evaluation
Confusion Matrix
A table used to evaluate the performance of a classification algorithm.
Machine Learning
Cross-Entropy Loss
A loss function commonly used in classification tasks to measure the difference between predicted and actual distributions.
Machine Learning
Multi-Label Classification
A type of classification where multiple labels can be assigned to a single instance.
Machine Learning
Support Vector Machine (SVM)
A supervised learning model used for classification and regression tasks.
Machine Learning
support-vector-machine
A supervised learning algorithm used for classification and regression tasks.