Choosing the right predictive model depends on the specific business problem you are trying to solve. Key factors to consider include:
1. Nature of the Data: Understand whether your data is continuous, categorical, or time-based. 2. Business Objective: Clearly define what you aim to achieve with the model. 3. Model Complexity: Balance between model accuracy and interpretability. 4. Resource Availability: Consider the computational resources and expertise available. 5. Scalability: Ensure the model can scale with your business needs.