ALGORITHM FOR SOLVING CLASSIFICATION PROBLEMS USING ARTIFICIAL INTELLIGENCE METHODS
Keywords:
Artificial intelligence, classification algorithms, supervised learning, decision trees, support vector machines (SVM), k-nearest neighbors (KNN), neural networks, machine learning, model evaluation, data preprocessing.Abstract
This article explores algorithms for solving classification problems using Artificial Intelligence (AI) techniques. Classification is a fundamental task in machine learning where the goal is to assign data points to predefined categories or classes based on their features. The article discusses different AI-based approaches such as supervised learning algorithms, decision trees, support vector machines (SVM), k-nearest neighbors (KNN), and neural networks. It also highlights the importance of training data, model evaluation, and optimization in developing efficient classification algorithms. The paper emphasizes the applications of classification algorithms in fields such as healthcare, finance, and image recognition, and discusses the challenges faced during their implementation.
