🍷 Recall, Precision, F1 and ROC, AUC
Model Performance Evaluation Metrics - ROC, AUC, Precision, Recall
📹 Video Tutorial
📊 Lecture Slides























📚 Reference Source Code
ROC & AUC Example Code
Example model metrics using sklearn in face detector case
Get Metrics Using Sklearn
ROC & AUC example code in face detector model case
📖 Topics Covered
- ✅ Confusion Matrix: Understanding TP, FP, TN, FN
- ✅ Accuracy: Overall model correctness
- ✅ Precision: Positive prediction accuracy
- ✅ Recall (Sensitivity): True positive rate
- ✅ F1 Score: Harmonic mean of precision and recall
- ✅ ROC Curve: Receiver Operating Characteristic
- ✅ AUC: Area Under the ROC Curve
- ✅ Practical Examples: Face detector case study
🙇🏻Thank you!!
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main image from Олександр К