On what scale are terms weighted in a portable model based on their importance within the data set?

The weighting of terms in a portable model on a scale of -100 through 100 allows for a comprehensive range to indicate the significance of terms relative to the dataset. This scale enables the expression of negative and positive weights, reflecting the terms that may have detrimental or beneficial associations within the context of the data.

Having a broader scale like -100 to 100 provides a more nuanced representation of term importance. It accommodates the complexity of how terms can interact within various contexts of data, thus allowing modellers to assign a degree of relevance or irrelevance effectively. This ensures that the analysis captures the full spectrum of potential influence that a term can exert on the outcome.

In contrast, the other scales, such as -50 through 50, 0 through 100, and -10 through 10, may not offer the same depth or could limit the expressiveness needed for accurate modeling in more complex datasets. Therefore, the -100 through 100 scale is the most appropriate choice for capturing the importance of terms within portable models effectively.