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PANDA_Challenge

This is the DeepLearning Approach of PANDA Challenge @Kaggle

  • Model:

    • EfficientNet - B0
    • Pre-trained From ImageNet
  • Label & Loss:

    • Classification Bin Label, Cross-Entropy Loss
  • Ensemble:

    • 4 - fold Ensemble
  • Noisy Label Cleaning:

    • Direct Exclusion if abs(pred - true) >= 1.5
  • Final Performance & Ranking:

    • Weighted Quadratic Kappa: 0.93123 Private Score
    • Accuracy: ~ 0.66
    • Ranking: ~ 1%

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This is the DeepLearning Approach of PANDA Challenge @Kaggle

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