Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

Splitting multi-label data in a balanced manner is a non-trivial task which has some subtle complexities. In this blog post, I review several algorithm implementations and attempt to find the best…

PDF) Explaining the Performance of Multi-label Classification Methods with Data Set Properties

Improving ML Datasets with Cleanlab, a Standard Framework for Data-Centric AI

Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

PDF) Explaining the Performance of Multi-label Classification Methods with Data Set Properties

Creating Balanced Multi-Label Datasets for Model Training and Evaluation., by Pixelatedbrian, GumGum Tech Blog

Imbalanced datasets with imbalanced-learn - David Ten

Multi-label learning with missing labels using sparse global structure for label-specific features

Label Enhancement for Label Distribution Learning

How to Train a Fine-Grained Multilabel Classification Model on Noisy Data