Accuracy: How often a model’s predictions are correct, usually given as a percentage.
Example
The model correctly classifies 90 of 100 test emails, so its accuracy is 90%.
Why Accuracy matters for IT interns
Accuracy alone can mislead, especially for rare events — a point interviewers like to check.
Where you will hear it
You will hear this term in data, analytics, and AI work, and increasingly in general software teams too. If someone uses it and you are not sure what they mean in your project, it is completely fine to ask; every team uses terms a little differently.
Related terms
- Analytics: Using data to measure and understand what is happening — usage, performance and trends — usually through…
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- Artificial Intelligence (AI): The broad field of building systems that do tasks which normally need human intelligence, such as…
- Data: Facts and records that are collected and stored — such as orders, clicks, marks or messages — which software…
- Data Analysis: Examining data to find patterns, answer questions and support decisions, often with Excel, SQL, Python or…
- Data Science: Using statistics, programming and machine learning to find insights in data and build models that make…
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Frequently asked questions
What is Accuracy?
How often a model’s predictions are correct, usually given as a percentage.
What is an example of Accuracy?
The model correctly classifies 90 of 100 test emails, so its accuracy is 90%.
Why does Accuracy matter for IT interns?
Accuracy alone can mislead, especially for rare events — a point interviewers like to check.
Explore more internship terms
The IT Internship Glossary explains 199 terms you will hear before and during your internship, with simple definitions and real examples.
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About the author
Dhaivat has 16+ years of experience in the IT industry, working on AI and cloud technologies, project delivery, and engineering leadership. He has interviewed and mentored many interns, wrote The Lost Intern, and runs the non-commercial Career Impact Initiative, mentoring students for free.