Artificial Intelligence Class 10 Model Evaluation Part 2

Learn Model Evaluation in Artificial Intelligence – Class 10 (CBSE) in this video. Topics include training and testing datasets, overfitting, underfitting, perfect fit, accuracy and error, classification metrics, and confusion matrix explained in simple Hindi + English. Perfect for Class 10 AI exam preparation and beginners.
In this video, we will learn Model Evaluation from Artificial Intelligence (AI) – Class 10 in a simple and easy-to-understand way 🚀
🔍 Topics covered in this chapter:
✅ What is Accuracy in Model Evaluation?
✅ What is Recall in Model Evaluation?
✅ What is Precision in Model Evaluation?
✅ What is F1 Score in Model Evaluation?
✅ How to solve a problem and calculate Accuracy, Recall, Precision , F1
Score ?
✅ How to create Confusion Matrix (TP, TN, FP, FN) in simple language.
🎯 This video is perfect for:
✔ Class 10 AI students (CBSE)
✔ Board exam preparation
✔ Beginners in Artificial Intelligence
✔ Teachers and self-learners

📘 Concepts are explained using easy examples, diagrams, and exam-oriented explanations so that you can understand clearly and score better in exams.

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Видео Artificial Intelligence Class 10 Model Evaluation Part 2 канала The Orange WorkFlow