Which type of model is primarily focused on predicting future outcomes?

The primary focus of a predictive model is on forecasting future outcomes based on historical data and patterns. These models utilize statistical techniques and algorithms to analyze existing data, identify trends, and make informed predictions about what is likely to happen in the future. This is particularly useful in various applications, such as sales forecasts, risk assessment, and customer behavior predictions, where understanding future scenarios can drive decision-making and strategy.

In contrast, descriptive models aim to summarize or describe data characteristics without making predictions. Exploratory models are used for discovering patterns or relationships in data without a predefined hypothesis, and diagnostic models focus on identifying reasons for past events or outcomes rather than predicting future ones. Therefore, the emphasis of the predictive model on future outcomes distinctly sets it apart as the correct answer.