Browse all content tagged with Metrics
A confusion matrix is a machine learning tool for evaluating the performance of classification models, detailing true/false positives and negatives to provide insights beyond accuracy, especially useful in imbalanced datasets.
Fréchet Inception Distance (FID) is a metric used to evaluate the quality of images produced by generative models, particularly GANs. FID compares the distribution of generated images to real images, providing a more holistic measure of image quality and diversity.
