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Model interpretation helps understand the underlying decisions from "summary" of Machine Learning For Dummies by John Paul Mueller,Luca Massaron
When you dig into the details of a machine learning model, you gain insight into how it makes decisions. Model interpretation is the key to unlocking this understanding. By examining the inner workings of a model, you can see the factors that influence its predictions. This process helps you comprehend the rationale behind the decisions that the model makes. Understanding the underlying decisions of a model is critical for several reasons. First, it allows you to verify that the model is making decisions based on relevant information. By interpreting the model, you can ensure that it is not relying on spurious correlations or irrelevant features. This verification is essential for building trust in the model's predictions and ensurin...
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