7 Pitfalls to avoid while using Model-Agnostic Interpretation Techniques | by Satyam Kumar | Jun, 2022
General pitfalls of interpretable machine learningImage by Mohamed Hassan from PixabayInterpretable machine learning techniques are becoming more popular among the data science community as more and more complex machine learning algorithms are adopted which are not easily interpretable.Model-Agnostic Interpretation techniques do not care about the underlying models, but they have the capability to interpret the model and provide insightful model interpretation. Some of the popular model-agnostic interpretation techniques…