Скачать или смотреть Confusion Matrix | Class 10 AI | Full Explanation | Accuracy, Precision, Recall & F1 Score

🤖 Confusion Matrix | Class 10 AI | Full Explanation | Accuracy, Precision, Recall & F1 Score
📊 Confusion Matrix – Artificial Intelligence (Class 10)
In this video, you will get a complete and easy explanation of the Confusion Matrix as per the CBSE Class 10 Artificial Intelligence (AI – 417) syllabus. Each term is explained with real-life examples, simple language, and exam-oriented approach.

🔍 We clearly explain TP, TN, FP, FN and how they are used to calculate Accuracy, Precision, Recall, and F1 Score, which are very important for board exams, MCQs, and viva.

✨ What you will learn in this video:

✔ What is a Confusion Matrix?
✔ Meaning of True Positive, True Negative, False Positive, False Negative
✔ Real-life example (medical / disease testing scenario)
✔ Formula & calculation of:
Accuracy
Precision
Recall

F1 Score
✔ How Confusion Matrix is used in Machine Learning & AI models
✔ Important exam tips & common mistakes

🎯 Useful for:

• Class 10 AI students (CBSE)
• Board exam & internal assessment preparation
• MCQ & competency-based questions
• Beginners in AI & Machine Learning
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