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ML_CI2022

Paper for the Climate Informatics 2022 conference and the Enviromental Data Science
Two tasks:

  1. Regression: predicting stratospheric polar vortex daily anomalies in winter
    models: multiple linear regression and sequential feature selection
  2. classification: predicting whether a winter is with an SSW event or is a normal winter
    models: a fully connected neural network and logistic regression

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