Good Classification Measures and How to Find Them

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Deep Learning classification-measures
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
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