Model evaluation

How it is used

Used in machine learning experiments, reporting, and deployment decisions. It often involves validation data, test sets, and metrics like precision or recall.

Example sentences

1. Our model evaluation showed strong accuracy on training data but a sharp drop on the holdout set, suggesting the classifier had overfit.

   Here the term means checking performance on different datasets to judge whether the model generalizes instead of only memorizing training patterns.

2. Before deployment, the team repeated model evaluation with newer customer tickets to verify that last quarter's metrics still held up.

   In this example, evaluation is a re-check with fresher data to see whether earlier results remain reliable in current conditions.

Common collocations

• model evaluation metrics
• model evaluation pipeline
• perform model evaluation
• model evaluation results

Related terms

• machine learningA branch of artificial intelligence in which computers learn patterns from data and use them to make predictions or decisions, instead of following rules written by hand.
• modelThe result of training: a program with learned parameters that takes an input, such as an image or a sentence, and produces an output, such as a label, a number or a text.

More terms: Machine Learning and Data Processing

• artificial intelligence
• dataset
• training data
• label
• train
• supervised learning
• neural network
• deep learning
• loss function
• overfitting
• test set
• accuracy