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…

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

NLP – GumGum Tech Blog

Explaining the performance of multilabel classification methods with data set properties - Bogatinovski - 2022 - International Journal of Intelligent Systems - Wiley Online Library

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

Modzy Blog

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

Imbalanced Multi-Label Classification: Balanced Weights May Not Improve Your Model Performance - Grab N Go Info

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

sklearn.datasets.make_multilabel_classification — scikit-learn 0.15-git documentation

Explaining the performance of multilabel classification methods with data set properties - Bogatinovski - 2022 - International Journal of Intelligent Systems - Wiley Online Library