[P] All Sklearn Classifiers Comparison

Today, I tested various sklearn classifiers for a multi-label task to establish a baseline. While waiting for the results, I wondered if there’s a GitHub repo with implementations of all classifiers along with evaluation metrics and visuals. I haven’t found one yet.

Implementing a script to test all classifiers and return the top three with evaluations could provide a solid baseline for tasks, despite variations in input and task dependency. If you know of any existing implementations, I’d appreciate it. Otherwise, I might create one myself to compare with custom neural networks or transformers in future projects.

(I’ll share the repository once it’s ready.)

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Try lazypredict https://lazypredict.readthedocs.io/

Felicitations buddies,listen To evaluate how well a model performs on new data,
This involves creating new features that could boost the model’s performance.also
combine multiple classifiers to enhance accuracy.