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joints2023's Introduction

JOINTS Data Competition 2023

Training Flow

Training Flow

List of Notebooks (by Step)

  1. General Pipeline
  2. General Pipeline + Confident Learning
  3. General Pipeline + Confident Learning + Imputer
  4. Full Pipeline (Simple Classification) with Data Leakage
  5. Full Pipeline (Ordinal Classification) with Data Leakage
  6. Full Pipeline (Simple Classification) without Data Leakage

References

  1. C. G. Northcutt, L. Jiang, and I. L. Chuang, “Confident Learning: Estimating Uncertainty in Dataset Labels,” Journal of Artificial Intelligence Research, vol. 70, pp. 1373–1411, Apr. 2021, doi: 10.1613/jair.1.12125.
  2. Y. Wu, Y. Ma, Q. Xie, Q. Zhao, and D. Meng, “Learning to Purify Noisy Labels via Meta Soft Label Corrector.,” National Conference on Artificial Intelligence, vol. 35, no. 12, pp. 10388–10396, May 2021, [Online]. Available: https://dblp.uni-trier.de/db/conf/aaai/aaai2021.html#WuSX0M21
  3. J. H. Friedman, “Greedy function approximation: A gradient boosting machine.,” Annals of Statistics, vol. 29, no. 5, Oct. 2001, doi: 10.1214/aos/1013203451.
  4. T. Chen and C. Guestrin, “XGBoost,” arXiv (Cornell University), Mar. 2016, doi: 10.1145/2939672.2939785.
  5. A. V. Dorogush, V. Ershov, and A. Gulin, “CatBoost: gradient boosting with categorical features support.,” arXiv (Cornell University), Oct. 2018, [Online]. Available: https://arxiv.org/pdf/1810.11363.pdf
  6. C. V. R. Murty, “How Architectural Features Affect Building During Earthquakes?,” devalt.org. [Online]. Available: https://www.devalt.org/newsletter/sep03/of_2.htm
  7. “sklearn.preprocessing.StandardScaler,” Scikit-learn. https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html
  8. “sklearn.preprocessing.OneHotEncoder,” Scikit-learn. https://scikit-learn.org/stable/modules/generated/sklearn.preprocessing.OneHotEncoder.html
  9. Metropolitan Council, “Calculating Floor Area Ratio,” metrocouncil.org. https://metrocouncil.org/Handbook/Files/Resources/Fact-Sheet/LAND-USE/How-to-Calculate-Floor-Area-Ratio.aspx
  10. E. Frank and M. A. Hall, “A Simple Approach to Ordinal Classification,” Lecture Notes in Computer Science, pp. 145–156, Sep. 2001, doi: 10.1007/3-540-44795-4_13.

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