Shypd.aiThe largest open index of AI toolsiml is an R package for interpretable machine learning. It helps interpret the behavior and explain predictions of machine learning models using model-agnostic methods.
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iml is an R package designed to provide interpretable machine learning capabilities. It allows users to understand the behavior and predictions of various machine learning models, regardless of their underlying architecture. The package implements several model-agnostic interpretability methods, including feature importance, partial dependence plots, individual conditional expectation plots (ICE), accumulated local effects, tree surrogate models, and Local Interpretable Model-agnostic Explanations (LIME). It also supports Shapley values for explaining single predictions. This makes iml a valuable tool for data scientists and developers who need to gain insights into complex AI models and ensure transparency in their decision-making processes.
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