Training a model using labeled data and using this model to predict the labels for new data is known as:.

Training a model using labeled data and using this model to predict the labels for new data is known as: Supervised Learning.

Explanation:

Supervised learning is a set of techniques that allows future predictions based on behaviors or characteristics analyzed in labeled historical data. A label is nothing more than the output that the data set has returned for historical data, already known. In supervised learning, it assumes that we start from a previously labeled data set, that is, we know the value of the target attribute for the data set that we have.

these are the choices

local priests

european monarchs

common people

bible translators

which of the following is a subsurface event that takes place during the rock cycle?