Would You Use ANOVA for Feature Selection?

Author(s): Sai Viswanth

Originally published on Towards AI.

Know A-Z of ANOVA with an interesting dataset.
Photo by Elimende Inagella on Unsplash

We often forget the most crucial step when developing a Machine learning model — Feature Selection. Not selecting the right features correlated to the target variable can prevent your model from reaching the potential performance.

Feature Selection impacts the entire pipeline in two ways:-

Removes useless and redundant featuresHigh probability of increasing the performance in the worst case no change in accuracy.

Choosing the right technique can help you to converge to the right set of features faster. Sometimes, you do have to find out by iteratively trying out various methods.

Filter methods rely on statistical formulations for ranking… Read the full blog for free on Medium.

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Published via Towards AI