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Don’t Ignore the Deviances. They Tell You Good Things About Your Model
By
Ravi Kumar Meduri
In
Big Data & Analytics,
Technology
Posted
Many a times, data scientists and analysts input data and then train a model like logistic regression for classification. Most of the practitioners do not seem to spend enough time on this part of the output and instead focus only on the top level diagnostics consisting of coefficient summary, RMSE or classification matrix and may be the overall measure such as an R2 in the case of a linear
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