Classification — Microsoft Azure AI Fundamentals (AI-900) Practice Questions
Classification is a supervised learning task in which a model predicts which category or class a given input belongs to, such as determining whether an email is spam or whether an image contains a specific object. The AI-900 exam distinguishes between binary classification (two possible outcomes) and multi-class classification (three or more), and expects candidates to recognize Azure Automated ML and Azure Machine Learning designer as tools for building classifiers. Common evaluation metrics for classification models, including accuracy, precision, recall, and the F1 score, are also within scope.
Free questions on classification
What is the difference between classification and clustering in machine learning?
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