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What are classification models? | IBM

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Artificial IntelligenceEda Kavlakoglumachine learningdata sciencepatient classification per potential health risksspam email filteringsupervised machine learningUnsupervised learningSubscribe todayoverfittingWatch all episodes of Mixture of Expertsconfusion matrixLogistic regressionNaïve Bayes classifiersNatural language processingsentiment analysisbag of wordsK-nearest neighborsDimensionality reductionregularizationReport IBM X-Force Threat Intelligence Index 2026 Gain insights to prepare and respond to cyberattacks with greater speed and effectiveness with the IBM X-Force® Threat Intelligence Index. Read the reportReport IBM is named a Leader in Data Science & Machine Learning Learn why IBM has been recognized as a Leader in the 2025 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Read the reportAI models Explore IBM Granite IBM Granite is our family of open, performant and trusted AI models, tailored for business and optimized to scale your AI applications. Explore language, code, time series and guardrail options. Meet GraniteReport AI in Action 2024 We surveyed 2,000 organizations about their AI initiatives to discover what's working, what's not and how you can get ahead. Read the reportExplainer Supervised learning models Explore supervised learning approaches such as support vector machines and probabilistic classifiers. Read the explainerTraining Hands-on with generative AI Learn fundamental concepts and build your skills with hands-on labs, courses, guided projects, trials and more. Learn generative AIEbook How to choose the right foundation model Learn how to select the most suitable AI foundation model for your use case. Read the ebookExplore watsonx OrchestrateExplore AI solutionsExplore AI servicesExplore watsonx OrchestrateExplore watsonx.aihttps://www.sciencedirect.com/science/article/abs/pii/S0002914915023590https://www.jmlr.org/papers/v25/23-0286.html

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