The correct answer is personalization.
This is a type of fallacy where you involve somebody's personality into an argument, even though it is completely unnecessary or wrong to do that. For example, if you are going to a dinner party and you are late, and the dinner is overcooked (completely unrelated to you being late), you might start thinking that it happened because of your tardiness, whereas that is obviously not the case.
Because of its position on the earth.
Answer:
Training a model using labeled data and using this model to predict the labels for new data is known as: <u>Supervised Learning.</u>
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.