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Abstract: Multi-class imbalanced classification is a challenge in machine learning. The classical synthetic minority oversampling technique (SMOTE) alleviates this challenge by balancing the class ...
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A machine learning-based application for predicting cervical cancer using SMOTE (Synthetic Minority Over-sampling Technique) and RFERF (Recursive Feature Elimination with Random Forest).
Your browser does not support the audio element. Python is a highly popular programming language, widely used in various fields like software development, data ...
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