onnoo / AI2019-PBL1

PBL Case Study #1 for CSE4007: Artificial Intelligence

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PBL Case Study #1 for CSE4007: Artificial Intelligence

Main objective

Find the best model out of the following settings

  • Classifiers: logistic regression and SVM
    • Hyperparameters:
      • C in SVM
      • lambda, ||w||_2^2, ||w||_1 in Logistic regression
  • Data: 60k training images of MNIST
  • Criterion:
    • Model selection: f1-score
    • Test performance: f1-score of the final model on the test images

Team Composition

Name GitHub Mail Target model
정성학 jshagold jshagold@gmail.com Logistic Regression
안채령 asjnhy acting171@gmail.com Logistic Regression
현승재 HyunSJ dudtod1596@gmail.com SVM
양재우 onnoo sweyjw@gmail.com Logistic Regression
김유신 hd132506 subch1055@gmail.com SVM

Reference

Course Info
Problem link
How to read MNIST files

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PBL Case Study #1 for CSE4007: Artificial Intelligence

License:MIT License


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