Understanding your Neural Network’s predictions

A concise guide to assessing your neural network’s feature importance.

Neural networks are extremely convenient. They are usable for both regression and classification, work on structured and unstructured data, handle temporal data very well, and can usually reach high performances if they are given a sufficient amount of data.

What is gained in convenience is, however, lost in interpretability and that can be a major setback when models are presented to a non-technical audience, such as clients …

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