Exploring Local Explanations of Nonlinear Models Using Animated Linear Projections. (arXiv:2205.05359v1 [stat.ML])

Web: http://arxiv.org/abs/2205.05359

The increased predictive power of nonlinear models comes at the cost of
interpretability of its terms. This trade-off has led to the emergence of
eXplainable AI (XAI). XAI attempts to shed light on how models use predictors
to arrive at a prediction with local explanations, a point estimate of the
linear feature importance in the vicinity of one instance. These can be
considered linear projections and can be further explored to understand better
the interactions between features used to make …

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