# Deducing Optimal Classification Algorithm for Heterogeneous Fabric

arXiv: https://arxiv.org/abs/2111.05558 · HTML: https://mlsanity.com/paper/2111.05558/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 23 references that are in the map.
- First posted on arXiv 10 Nov 2021.

## Builds on (most cited first, 2 of 2)

- [Reconstruction of three-dimensional porous media using generative adversarial neural networks](https://mlsanity.com/paper/1704.03225/) (2017)
- [Machine Learning Guided 3D Image Recognition for Carbonate Pore and Mineral Volumes Determination](https://mlsanity.com/paper/2111.04612/) (2021)

## Abstract (arXiv)

For defining the optimal machine learning algorithm, the decision was not easy for which we shall choose. To help future researchers, we describe in this paper the optimal among the best of the algorithms. We built a synthetic data set and performed the supervised machine learning runs for five different algorithms. For heterogeneous rock fabric, we identified Random Forest, among others, to be the appropriate algorithm.