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Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
Abstract: This research aims to evaluate and compare the performance of various classification algorithms under conditions of small dataset quantity. Six algorithms were tested, namely NaÏve Bayes, ...