Accuracy
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What is Accuracy?
Accuracy measures how often a machine learning model correctly predicts the outcome. It's calculated by dividing the number of correct predictions by the total number of predictions made. The formula for accuracy is: (Number of Correct Predictions) / (Total Number of Predictions).
Free resources to learn Accuracy
- ArticleAccuracy | scikit-learn
- ArticleMachine Learning Model Accuracy
More in stage 26: Metrics to Evaluate
Accuracy: common questions
Can I learn Accuracy in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Accuracy in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Accuracy tutorial for beginners?
It is lesson 98 of 150 in the free Machine Learning roadmap, in stage 26, Metrics to Evaluate. If you are new to Machine Learning, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.