Dealing with Class Imbalance — Dummy Classifiers

Author(s): Abhijeet Sahoo

Originally published on Towards AI.

Image credit: https://datascience.aero/

Let me paint a picture for you, you are a beginner to the field of Data Science and have started making your first ML model for predictions and found the accuracy using model.score() as 95%. You are jumping around thinking that you nailed it and maybe it was your destiny to become a Data Scientist. Well, I don’t want to burst the bubble but you can be horribly wrong. Do you know why? — Because accuracy is a very poor metric to measure the classifier performance especially in the case of Unbalanced Dataset. And unbalanced datasets are prevalent… Read the full blog for free on Medium.

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Published via Towards AI