Which AI Builder model is used to analyze patterns in data for predictions?

The prediction model in AI Builder is specifically designed to analyze historical data to identify patterns and make forecasts about future outcomes. This model utilizes machine learning algorithms to create a predictive model based on the trends observed in the provided dataset. By applying this model, businesses can gain insights into potential future events, enabling them to make informed decisions.

In contrast, while category classification and data classification models categorize data into predefined groups based on characteristics, they do not focus on forecasting future values or trends. Form processing is aimed at extracting data from forms, like invoices or receipts, but it does not involve prediction at all. Thus, the prediction model stands out for its primary function of utilizing data patterns to generate forecasts, making it the correct answer in the context of the question.