How accurate is your AI? Why you must understand accuracy, precision, recall and F1 scores

🎓 What you’ll learn

🏥 Diagnosing cancer with AI

The vendor’s product

😉 The vendor’s claim

1. The Test Dataset

2. The Vendor’s Performance Data

A confusion (or confusing) matrix

3. So how does the system perform?

3.1 Precision

3.2. Recall (aka Sensitivity)

3.3. Accuracy

3.4. F1 Score

04. So what does the above mean?

🎯 So what to prioritise when?

🤔 When to prioritise Recall over Precision?

🤔 When to prioritise Precision over Recall?

🙌 Conclusion

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Legaltech Deep Dives | Legaltech Leaders | Legaltech Coding

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