Class 10 AI 417 | Unit 3: Evaluating Models | Accuracy, Precision, Recall & F1 Score | CBSE

Learn Unit 3 – Evaluating Models for CBSE Class 10 Artificial Intelligence (Code 417) in a simple and easy-to-understand way. In this video, we cover the important concepts of Model Evaluation and Ethical Concerns, with examples and exam-oriented explanations. 📚 Topics Covered: AI Model Evaluation Train–Test Split Random and Stratified Splitting Confusion Matrix True Positive (TP), True Negative (TN), False Positive (FP) and False Negative (FN) Accuracy, Precision, Recall and F1 Score Numerical Examples and Metric Calculations Choosing the Right Evaluation Metric for Different Scenarios Ethical Concerns: Bias, Fairness, Privacy, Transparency and Long-Term Effects Practice Questions and Exam Writing Tips 🎯 For: CBSE Class 10 Artificial Intelligence | Subject Code 417 Subscribe to AI SIMPLIFIED for clear explanations, practical examples and exam-focused lessons. #Class10AI #AI417 #EvaluatingModels #ArtificialIntelligence #CBSE #CBSEClass10 #ConfusionMatrix #Accuracy #Precision #Recall #F1Score