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This repository has been archived by the owner on May 14, 2020. It is now read-only.
Target accuracy for SVM: ~83%
Target accuracy for SVM with Dropout: ~85% [I think we don't do Dropout right now]
NOTE: The paper uses 30 training examples per class, while we are using all. Since the dataset is a bit skewed (e.g. there are 55 training examples for accordion and 800 for airplanes), there may be a certain bias, which affects the overall accuracy. We need to adjust the preprocessor accordingly (#9).
The text was updated successfully, but these errors were encountered:
Target accuracy for SVM: ~83%
Target accuracy for SVM with Dropout: ~85% [I think we don't do Dropout right now]
NOTE: The paper uses 30 training examples per class, while we are using all. Since the dataset is a bit skewed (e.g. there are 55 training examples for accordion and 800 for airplanes), there may be a certain bias, which affects the overall accuracy. We need to adjust the preprocessor accordingly (#9).
The text was updated successfully, but these errors were encountered: