Accuracy vs Interpretability paradox

Interpretable Machine Learning : An attempt to demystify the black-boxAccuracy vs Interpretability paradoxData scientists often have to deal with the classic accuracy vs interpretability paradox while choosing a particular predictive modeling technique. The traditional OLS (Ordinary Least Square) based techniques such as linear and logistic regression provide insights (coefficients) that are easy to interpret and clearly explain the incremental impact of a predictor variable on the response vari...

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