A machine learning model is an algorithm that learns patterns from examples during training and applies those patterns to classify or predict outcomes on new data. For return classification, models analyze text descriptions, images, or structured data to predict return reasons. Key model types include logistic regression for simple cases and transformer-based models like BERT for nuanced text understanding.
← Glossary
Machine Learning Model
A mathematical system trained on historical data to make predictions or classifications on new data.
Related terms
- AI Classifier — A machine learning model that automatically categorizes inputs—like return reasons or customer feedback—into predefined groups.
- Training Data — The labeled examples used to teach an AI model how to categorize returns correctly.
- Inference — The process of using a trained AI model to make predictions on new, unlabeled data.
- Model Accuracy — The percentage of classifications the AI model gets correct across all categories.