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What do you mean by “size”? Gzipped size? If you simply look at how dark a Mnist image is (count the percentage of dark pixels) you’ll get about 20% accuracy, w
by p1esk 3y ago
What do you mean by “size”? Gzipped size? If you simply look at how dark a Mnist image is (count the percentage of dark pixels) you’ll get about 20% accuracy, which is twice better than random guess but a long way from 90’ish %.
- yvdriess 3y agoWhat do you mean with accuracy here? Usually 50% accuracy means cointoss, meaning 20% accuracy is equal to 80% accuracy, which is better than the article's 78% and not that far from 90%.
- rjh29 3y agoThere are ten choices, so getting the answer right 20% of the time is very plausible.
- p1esk 3y agoThere are 10 classes in Mnist. Random guess would is 10%.
- tysam_and 3y ago"One simple trick to beat the statistical odds...."
- Frotag 3y ago> meaning 20% accuracy is equal to 80% accuracy, Only if your model is outputting a yes/no answer right? And that your definition of accuracy is "class with highest probability" (and not "N classes with highest prob") If your dataset has more than 2 classes like MNIST, a super low accuracy only tells you to ignore the class the model guesses. It doesn't tell you which of the remaining classes is correct