3 ms·

I love when basic statistical models are used for tasks usually dominated by deep learning; image classification, stock price analysis. Makes me happy for some

• minimaxir 3y ago
  In this case there's no advantage to using logistic regression on an image other than the novelty. Logistic regression is excellent for feature explainability, but you can't explain anything from an image. Traditional classification algorithms but not deep learning such as Support Vector Machines and Random Forests perform a lot better on MNIST, up to 97% test set accuracy compared to the 88% from logistic regression in this post. Check the Original MNIST benchmarks here: http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/# http://fashion-mnist.s3-website.eu-central-1.amazonaws.com/#
  • valec 3y ago
    even knn after dimensionality reduction does pretty good