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.

i would think yes.

explanation:

because we have every natianlity in our country which makes us so diverse and unique. that's why in a lot of cities there are places like little italy, koreatown, chinatown.  

answer; role- taking;