Titlebook: Recent Advances in Next-Generation Data Science; Third Southwest Data Henry Han Conference proceedings 2024 The Editor(s) (if applicable) a

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Data Entropy-Based Imbalanced Learning, data entropy between classes and enhancing data mutual information concurrently is advantageous for classification. Our experiments, conducted across four models SVM, CNN, Transformer (including its variants ViT), and DNN, on datasets CIFAR-10, Airline Satisfaction, Smoking Body Signal and Liver Ci

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,In-Game Win Prediction Models for?Cricket,e cross validation on data from hundreds of IPL matches. Metrics such as the Brier score and accuracy suggest that the proposed method exhibits considerably better predictive performance in addition to the increased optionality afforded to the modeler.

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