🍷 Recall, Precision, F1 and ROC, AUC

🍷 Recall, Precision, F1 and ROC, AUC

Model Performance Evaluation Metrics - ROC, AUC, Precision, Recall

📹 Video Tutorial

https://youtu.be/o1oTbRVVq-o

📊 Lecture Slides

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📚 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!!

🎁 Download origin PPT material of this lecture from here: 👇

acc_recall_f1_roc_AUC.zip

main image from Олександр К

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