Imbalanced Dataset Training Report
The goal of this experiment is to train a neural network on an imbalanced dataset where one class is underrepresented compared to the other. The training process includes the use of synthetic data, logging of key metrics using Weights & Biases and visualisation such as precision-recall curves and confusion matrices.
Created on December 19|Last edited on December 19
Comment
Section 1
Run set
1
Run set
1
Run set
1
Add a comment