Standard datasets for Classical Machine Learning tasks

Question

Standard datasets for Classical Machine Learning tasks

Harsh Kumar

2022年5月6日 03:07

I'm aware of and have worked with many datasets in Classical ML as well as DL. I am also aware of some of the standard datasets in DL (for example ImageNet for Image Classification, etc.)

However, I was wondering if there are any standard datasets (or benchmarks for accuracy) for the Classical methods such as Regression, GBM, SVM, etc. More specifically, are there any standard datasets that can be used to measure the accuracy of a new method?

Given that most of the Classical methods are very old, the datasets they would've used to test their methods may not be relevant today.

If there are no such standards, can you comment on the class of applications you would like to see if someone were to create their own standard dataset?

Thanks

Topic accuracy classification machine-learning

Category Data Science

noe · Accepted Answer · 2021年7月10日 09:09

Before the deep learning wave, the the UCI dataset repository was widely used.

It contains classic (and rather small) datasets that were very relevant in the old days, like the Iris dataset for classification.

In each dataset page, you can find papers citing the dataset.

Standard datasets for Classical Machine Learning tasks

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