You want to build a model to predict the likelihood of a customer clicking on...

Comprehensive and Detailed In-Depth Explanation:

Predicting the likelihood of a click (binary outcome: click or no-click) requires a classification model. BigQuery ML supports this use case with logistic regression.

Option A: Linear regression predicts continuous values, not probabilities for binary outcomes.

Option B: Matrix factorization is for recommendation systems, not binary prediction.

Option C: Logistic regression predicts probabilities for binary classification (e.g., click likelihood), ideal for this scenario and supported in BigQuery ML.