What is Model Output?

Model output is the prediction or decision made by a machine learning model based on input data.

In supervised learning, the model output is a predicted target value for a given input. In unsupervised learning, the model output may include cluster assignments or other learned patterns in the data.

Model output can be a single value, a probability distribution, a class label, or a series of continuous or discrete values, and is often used to evaluate the performance of a machine learning model.