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Unavoidability of Model Interpretability

Analytics Vidhya

High score model doesn’t mean that it is interpretable, and worse than that, model results could be misleading. Never trust a model that is telling 99% accuracy at the first shot. Tools like LIME…

Interpretable Models

Christophm Interpretable Machine Learning Book

The easiest way to achieve interpretability is to use only a subset of algorithms that create interpretable models. Linear regression, logistic regression and the decision tree are commonly used inter...

Interpretability

Christophm Interpretable Machine Learning Book

It is difficult to (mathematically) define interpretability. A (non-mathematical) definition of interpretability that I like by Miller (2017) 3 is: Interpretability is the degree to which a human can ...

Interpretability and Performance in a Single Model

Towards AI

Machine learning is a discipline full of frictions and tradeoffs but none more important like the balance between accuracy and interpretability. In principle, highly accurate machine learning models…

Tell Me a Story: Thoughts on Model Interpretability

Towards Data Science

Recently, my thinking has circulated around what feel like some of Machine Learning’s biggest meta-conversations: the potential and limitations of learning a generally intelligent actor, the nuance…

Which models are interpretable?

Towards Data Science

A brief overview of some interpretable machine learning models Continue reading on Towards Data Science

Interpretability in Machine Learning

Towards Data Science

Should we always trust a model that performs well? A model could reject your application for a mortgage or diagnose you with cancer. The consequences of these decisions are serious and, even if they…

Interpretability of Deep Learning Models

Towards Data Science

Model Interpretability of Deep Neural Networks (DNN) has always been a limiting factor for use cases requiring explanations of the features involved in modelling and such is the case for many…

Understanding Machine Learning Interpretability

Towards Data Science

Today, machine learning is everywhere, and although machine learning models have shown a great predictive performance and achieved a notable breakthrough in different applications, those machine…

Edge 251: Global Model-Agnostic Interpretability

TheSequence

In this issue: We explore the concept of global model-agnostic interpretability methods. We review OpenAI’s research about using machine teaching to build interpretable models. We explore the Lucid li...

Interpretable Machine Learning Models

Towards Data Science

A machine learning model from Amazon selected only males from a pile of resumes¹. Another model fired teachers who were underperforming, according to the model². Such models are discriminatory and…

Model Interpretation Strategies

Towards Data Science

This article in a continuation in my series of articles aimed at ‘Explainable Artificial Intelligence (XAI)’. If you haven’t checked out the first article, I would definitely recommend you to take a…