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What is Training vs Testing Data

Beginner

Answer

Training data is the data used to teach a machine learning model, while testing data is a separate set used to check how well the model performs on examples it has never seen before.
Real-world example A bank builds a loan approval model on data from the last five years and tests it on the most recent six months of applications to see how it would have performed in practice.

Common follow-ups: What is a validation set, What is cross validation, What is overfitting

Machine Learning Fundamentals Deep Learning Supervised & Unsupervised Learning
All 7 Training vs Testing Data questions