Which tool combines decision tree and neural network models for prediction?

The option that accurately describes a tool designed to combine decision tree and neural network models for prediction is the Meta-Modeling tool. Meta-Modeling in SAS Enterprise Miner is specifically aimed at creating an ensemble of various predictive models, which can include decision trees and neural networks among others. This approach enhances predictive performance by leveraging the strengths of different modeling techniques, allowing for more robust and accurate predictions.

In contrast, the Rules Node focuses primarily on generating rules-based models, and while it may draw on various principles of decisions within the data, it does not inherently combine multiple models like Meta-Modeling does. Rule Induction also pertains to creating rules from data but is not an ensemble approach combining different model types. The Neural Network tool stands alone as a specific modeling technique without combining its results with other models in the immediate sense.

Thus, selecting Meta-Modeling reflects an understanding of how different predictive models, such as decision trees and neural networks, can be integrated to improve performance in SAS Enterprise Miner.