ML Performance Metrics (And How To Use Them)
ML Performance Metrics (And How To Use Them) Thank you very much for watching, please do Like, Subscribe and hit that Bell button to know when my next video gets uploaded! Follow me on Instagram: / nicolaiherforth CONTACT: [email protected] GITHUB: https://github.com/nicolaiherforth INSTAGRAM: / nicolaiherforth MEDIUM: / nicolaiherforth Music: Epidemic Sound -------------------------------------------------------------------------------------------------------- Timestamps: 0:00 - Introduction 0:23 - What is a performance metric? 0:42 - Accuracy: Not enough 02:20 - True/False Positives and Negatives 03:42 - Unbalanced vs Balanced Datasets 04:30 - Most Common Metrics 04:35.- Precision Explanation 04:49 - Recall Explanation 05:35 - F1 Score Explanation 06:09 - High Precision + High Recall 06:42 - Low Precision + High Recall 07:15 - High Precision + Low Recall 07:49 - Low Precision + Low Recall 08:12.- Practical Example: Notebook Setup 09:35 - Practical Example: Low Recall + Low Precision 13:17 - Practical Example: High Precision + Low Recall 16:30 - Practical Example: Low Precision + High Recall 18:20 - What's Next?
