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README.md
@@ -318,6 +318,9 @@ A confusion matrix is a table that is often used to describe the performance of
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* Out of those 165 cases, the classifier predicted “yes” 110 times, and “no” 55 times
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* In reality, 105 patients in the sample have the disease, and 60 patient do not
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+##### (A): Type I Error: We predict yes, but they don’t actually have the disease (Also known as Type I Error)
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+##### (B): Type II Error: We predict No, but they actually do have the disease (Also known as Type II Error)
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### Sensitivity:
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