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Machine learning classification techniques, such as Naive Bayes, Support Vector Machines, Random Forest, and Neural Networks, are effective tools for addressing data quality issues. These methods use evaluation criteria and performance analysis to measure their efficacy in resolving issues. However, each method has its own advantages and disadvantages.