Salesforce AI Specialist Practice Exam

Which model predicts numeric outcomes such as currency amounts or likelihood percentages?

1. Binary Classification models

2. Predictive Classification models

3. Regression models

4. Generative AI models

The correct answer is: Regression models

The choice of regression models as the correct answer is grounded in their specific function within statistical and machine learning contexts. Regression models are inherently designed to predict and estimate numeric outcomes based on input variables. This includes forecasting values such as currency amounts or likelihood percentages, which are both continuous in nature. Regression techniques work by identifying relationships between predictor variables and a continuous dependent variable. For example, a regression model might analyze various factors like sales volume, market conditions, or customer demographics to predict revenues in dollar amounts. Similarly, when assessing probabilities or likelihoods, regression can estimate these as numeric outcomes within a defined range. Other model types serve different purposes. Binary classification models are intended for categorizing data into two discrete classes and are not suited for predicting continuous values. Predictive classification models, while potentially useful for other types of predictions, generally categorize rather than quantify. Generative AI models focus on data generation and creating new content based on learned patterns, but do not specialize in predicting numeric outcomes directly. Thus, regression models stand out as the most appropriate tool for tasks requiring numeric predictions.