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Tag: Model Validation

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Data Science for All

Minimizing False Positives: The Role of Precision in Data Science

Today I will focus on the concept of Precision in data science, particularly in the context of classification models. In the document that I am sharing, outlines when to use precision (when false positives are costly or high confidence in

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Data Science for All

When Accuracy Deceives, The Trouble with Using Imbalanced Data

Accuracy a widely used parameter in Machine Learning model, can be interpreted wrongly sometime. High Accuracy doesn’t alway indicate a strong model. In this article I will talk about when and when not to use Accuracy. Also I will share

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