78% MNIST accuracy using GZIP in under 10 lines of code

Post by KateLawson » Fri, Sep 22, 2023, 11:07 PM UTC

tysam_and wrote: post #104

montebicyclelo wrote: post #99

I tried replacing the distance function in the code with some simpler distance measures: Gzip distance: ~3 minutes, 78% accuracy Euclidean distance: ~0.5 seconds, 93% accuracy Jaccard distance * : ~0.7 seconds, 94% accuracy Dice dissimilarity * : ~0.8 seconds, 94% accuracy * after binarising the images So, as a distance measure for classifying MNIST digits, GZIP has lower accuracy, and is much more computationally de…

Holy cow, I knew that MNIST was simple, but not that simple. Could you post a snippet of the code that you used to achieve this? It would be really, really nice to have a baseline to work from I'm sure, and I feel like this could be really useful to a few other areas (my personal obsession is speed-training on CIFAR10 :')))) ) Holy cow, that's insane. :O