Class-Imbalanced-Aware Adaptive Dataset Distillation for Scalable Pretrained Model on Credit Scoring

1. 1Identify class imbalance in the dataset
2. 2Apply adaptive dataset distillation to reduce the impact of class imbalance
3. 3Fine-tune pretrained models on the distilled dataset
4. 4Evaluate the performance of the models on a held-out test set

Data scientists and machine learning engineers on a team can benefit from this research as it improves the performance of pretrained models on imbalanced datasets, which is common in credit scoring applications

💡 Adaptive dataset distillation can improve the performance of pretrained models on imbalanced datasets

💡 Improve credit scoring with class-imbalanced-aware adaptive dataset distillation!