Interpretability in AI: Decrypting ML models using LIME

Presented by Women Who Code CONNECT Recharge 2022
Speaker: Laisha Wadhwa (she/her), Software Engineer @ Goldman Sachs
CONNECT Recharge 2022 Playlist: https://youtube.com/playlist?list=PLVcEZG2JPVhcLkMbJ3TkSajGDfFNOdCEd

In today’s business centric world, there’s a renewed focus on model interpretability. With ML finding multiple use cases for elevating businesses, it has become vital to Interpret the model, build trust in the model (because there’s money at stake!) and understand how it works for any given data. That’s where the magical tool LIME comes into picture. LIME is a python library which tries to solve for model interpretability by producing locally faithful explanations thus explaining the decision boundaries of our model in human understandable form. In order to build trust in our model we tend to run multiple cross validations and perform hold out set validation.

This talk will highlight the necessity of understanding the outputs of ML models to build a profound understanding of how ML works. In order to create trust in our model, we need to explain the model not only to ML experts but also to domain experts which require a human understandable explanation. You’ll be equipped in creating a model agnostic locally faithful explanation set which helps even the non experts in understanding how the original model is making its decision. All this sounds exciting, to add to this, a demonstration on the classic TITANIC data-set will be given to build a profound understanding of the concepts discussed.

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