Machine Learning Research Paper on Classification Algorithms

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academic research paper on Classification Algorithms in Machine Learning, formatted in APA style Classification algorithms are a key aspect of supervised learning in machine learning, used to categorize data into predefined classes based on input features. This paper provides a comprehensive study of the most widely used classification algorithms, including Decision Trees, Random Forests, Support Vector Machines (SVM), k-Nearest Neighbors (k-NN), and Artificial Neural Networks (ANN). The paper compares their theoretical foundations, advantages, disadvantages, and practical applications across diverse domains, including healthcare, finance, and e-commerce. Performance metrics such as accuracy, precision, recall, and F1-score are discussed to evaluate the effectiveness of these algorithms. Additionally, the challenges related to overfitting, interpretability, and computational complexity are explored Message me here

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