A neural-network-based undersampling method selects majority samples with the largest reconstruction error from a minority-trained model and reports higher AUC, F1, and G-mean, but the evaluation protocol likely biases the results.
Prediction of weather-induced airline delays based on machine learning algorithms
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Neural Network Based Undersampling Techniques
A neural-network-based undersampling method selects majority samples with the largest reconstruction error from a minority-trained model and reports higher AUC, F1, and G-mean, but the evaluation protocol likely biases the results.