DL Basics EP9 : Module9 : Model Evaluation & Metrics |Explained in Tamil| Deep Learning Full Course
Автор: Learn With Mahalakshmi
Загружено: 2026-01-16
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In this video, we explore Model Evaluation & Metrics used in Machine Learning.
Most beginners think high accuracy means good model, but that’s not true in real-world problems.
You will learn:
✔ What is Model Evaluation?
✔ Accuracy vs Precision vs Recall
✔ F1-Score & Confusion Matrix
✔ Regression Metrics (RMSE, MAE, MSE, R²)
✔ When to use which metric?
✔ Why accuracy alone is misleading?
✔ Real-world examples: Medical tests, Fraud detection, Spam filters
By the end of this module, you will clearly understand how to judge model performance with the right metrics for the right problem.
Perfect for:
Students
ML beginners
Data Science learners
Developers working with ML models
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