I am about to conduct a comprehensive study on evaluation metrics of machine learning (classification, regression, and clustering) algorithms.
I am aware of the existence of various real-world data sets and synthetic data generators. However, I am not aware existence of:
Any advice and link or hints would be greatly appreciated.
Google search is still in business I believe.. Best wishes, David Booth
You can look for gene expression datasets. There are many, they are large, they can be downloaded as tabular data, and the problems are complex.
For instance:
https://www.ncbi.nlm.nih.gov/geo/
https://hbctraining.github.io/Accessing_public_genomic_data/lessons/accessing_public_experimental_data_odyssey.html
If you're looking for clinical data check out the MIMIC IV clinical dataset. The dataset has over 200 million entries. It's primarily a data cleaning task before you can use the dataset for any application.
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