Archives for LIME
Being able to interpret the model allows developers to move from the question of ‘what did the model predict?’ to ‘how did the model predict this?’
The post Top Machine Learning Model Interpretation Tools appeared first on Analytics India Magazine.
Due to the ambiguity in Deep Learning solutions, there has been a lot of talk about how to make explainability inclusive of an ML pipeline. Explainable AI refers to methods and techniques in the application of artificial intelligence technology (AI) such that the results of the solution can be understood by human experts. It contrasts…
The post 8 Explainable AI Frameworks Driving A New Paradigm For Transparency In AI appeared first on Analytics India Magazine.
Model interpretability is the ability to approve and interpret the decisions of a predictive model in order to enable transparency in the decision-making process. By model interpretation, one can be able to understand the algorithmic decisions of a machine learning model. In this article, we list down 4 python libraries for model interpretability. (The list…
The post 4 Python Libraries For Getting Better Model Interpretability appeared first on Analytics India Magazine.