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Extremely Imbalanced Dataset

I present here the Ozone Dataset, a very difficult machine learning prediction challenge. The dataset has 2463 observations and 3% imbalance. I was able to improve the AUC of the model, training on 150 samples with log regression. Some pictures were obtained from the Udemy course "Machine Learning with Imbalanced Data", that I highly recommend. Dataset: https://archive.ics.uci.edu/ml/datase... Udemy Course: https://www.udemy.com/course/machine-... Reference: A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches. Mikel Galar, Alberto Fernandez, Edurne Barrenechea, Humberto Bustince ´ , Member, IEEE, and Francisco Herrera, Member, IEEE. https://sci2s.ugr.es/keel/pdf/algorit...