Which tool is used to collate statistics from different modeling nodes for easy comparison?

The tool used to collate statistics from different modeling nodes for easy comparison is the Model Comparison tool. This tool is specifically designed to allow users to evaluate and contrast the performance of various predictive models generated in SAS Enterprise Miner. It aggregates key performance metrics such as accuracy, misclassification rates, and other relevant statistics, enabling users to assess which model performs best according to their specific criteria.

Using the Model Comparison tool provides a clear and organized view of how each model measures against others, thus facilitating informed decision-making about model selection. This is essential for ensuring that the most effective model is chosen based on a multitude of potential outcomes rather than relying on a single performance metric.

In contrast, other options may serve different purposes within the analytics workflow. For instance, Fit Statistics primarily focuses on how well a specific model fits the data rather than comparing multiple models. Data Explorer is utilized for data profiling and visualization, helping users understand the underlying data better, while Output Evaluation is involved in examining the outcomes of a particular model rather than comparing across multiple models.