2020 Kaggle survey: regression, decision trees and ensembles dominate in ML applications.pic.twitter.com/dZTzI7wskV
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It says "Methods and Algorithms **Usage**" - linear and logistic regression may dominate in usage but obviously not in expressivity. Hardly surprising given 1) beginning ML practitioners will take up linear and logistic regression to begin & 2) kaggle has been around since 2010.
No, actually. The point is that for most applications boosting, random forests and regression work better than deep learning.
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Why does it say in the chart "Methods and Algorithms Usage" instead of something along the lines of "Methods and Algorithms Ordered by Competition Wins (or Top 5/10 etc.)" ?
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It’s about general usage, not just Kaggle competitions.
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