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Machine Learning Fundamentals: Sensitivity and Specificity
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In this StatQuest we talk about Sensitivity and Specificity - to key concepts for evaluating Machine Learning methods. These make it easier to choose which method is best for your data.
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Corrections:
7:28 My wording could be improved. The True Negatives for Troll 2 are the people who were correctly predicted to not like Troll 2.
#statquest #ml
For a complete index of all the StatQuest videos, check out:
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
Corrections:
7:28 My wording could be improved. The True Negatives for Troll 2 are the people who were correctly predicted to not like Troll 2.
#statquest #ml
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