Instance
term_id: instance
Category: basic_concepts
Definition
In machine learning, an instance refers to one specific example from the dataset. It consists of a set of input features (attributes) and potentially a target label. Instances are the fundamental units upon which models are trained, validated, and tested. Each instance represents a distinct entity or event in the real world being modeled.
Summary
A single data sample or observation used in machine learning tasks, typically represented as a vector of features.
Key Concepts
- Data sample
- Feature vector
- Training data
- Observation
Use Cases
- Supervised learning training
- Dataset splitting
- Anomaly detection examples