Good Classification Measures and How to Find Them

Overview

Good Classification Measures and How to Find Them

This repository contains supplementary materials for the paper "Good Classification Measures and How to Find Them" (NeurIPS 2021).


How can I run it?

To run the experiments, you will need numpy, and scikit-learn libraries.

Use the input data files, provided in /data folder, and these scripts:

  • binary_indicies_bruteforce.py [ ] -- to reproduce the table N3
  • meteo_inversion_matrix.py [full|10m|2h] -- to reproduce tables N4, N10, N11
  • multiclass_indicies_imagenet.py -- to reproduce tables N5 and N12
  • multiclass_indicies_sst.py -- to reproduce the table N6
  • multiclass_indicies_yeast.py -- to reproduce tables N13 and N14
Owner
Yandex Research
Yandex Research
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