Hello folks, I'm very new and I was trying out a simple algorithm to do classification using MNIST.
I trained on the first 60000 data points and did prediction on remaining 10000 data points. The metrics I used are : accuracy_score : 0.9574 classification_report : Precision - 0.96 Recall - 0.96 F1 score - 0.94 Zero-one classification Loss as : 0.0426 I would like somebody to help me interpret this in terms of benchmarks : http://yann.lecun.com/exdb/mnist/ What is the test error % metric given on the link corresponding to the metrics I have computed?
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