The Definitive Guide to F1 Score

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Learn what is the F1 Score that is defined from Precision and Recall performance metrics.

► Feel free to send me questions over LinkedIn or YouTube comment sections!

⏱️ Index ⏱️
0:00 - Intro
0:30 - Recall and Precision
1:37 - F1 Score and the Harmonic Mean
3:26 - Visualization
6:23 - Conclusion
  1. Data Science Bits
  2. Data Science
  3. Machine Learning
  4. Artificial Intelligence
  5. Analytics
  6. Statistics
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Комментарии
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Thanks man... now I got it!!! Congrats for the video!

danilopedrelli
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Thank you for such a neat explanation of F1 score!

Shikhar_
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Great video! The graphs in the end really helped.

funkysapir
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Wow! amazing explanation. Thank you! 🙏

familycohen
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Was here for Formula One score, life happens

mobilegamerpro
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nice presentation ..greetings from IRAQ

raghadzuhairyousif
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Why does the F1 score does not exceed 0.7 especially when the data is imbalanced and output probability is 0.5? Can you please clarify, thanks

muhamadhasbullahmohdrazali
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Thankyou very much for this crisp explanation. Really loved it. I wanted to ask you, in case of object detection algorithms like YOLO, how do we work with True Negatives? That number can be very big when we're working with 1000s of classes. Kindly let me know.

sarvagyagupta
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at 6:44, dont you mean harmonic mean?

muralikumarrr
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adorei o video! vice devia gravar em portugues tambem!

lusk
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TH chart is awesome. When are you publishing an r package so i can see my data in it?

desf