Feature
One input variable a model uses to make its prediction.
A feature is a single measurable property of an example — a price, a pixel, a word count. Classical ML depended on humans engineering good features; deep learning largely learns them from raw input instead, which is a big part of why it took over.
In practice: For house-price prediction: square metres, postcode, year built — each is a feature.