"How Does Machine Learning Work?

Select the best explanation:

Machine learning algorithms work by searching through a set of possible prediction models

for the model that best captures the relationship between the descriptive features and target feature in a dataset.

Machine learning relies on random selection of prediction models without analyzing relationships between features in a dataset.

Machine learning works by predicting outcomes solely based on the most common feature in a dataset, disregarding any relationships.

In machine learning, algorithms directly apply predefined models without considering the features in a dataset.