
supervised learning
/ˌsuːpərˌvaɪzd ˈlɜːrnɪŋ/
Training a model on labeled data with known outputs
“Supervised learning requires a dataset with correct answers for each example.”
Etymology — From Latin `super` (over, above) + `videre` (to see), meaning oversight or guidance