5min chapter

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[MINI] type i / type ii errors

Data Skeptic

CHAPTER

Type One and Type Two Errors

Ground truth is the idea that there's some information that you might be interested in, and there is an actual value of that information. A false positive or type one error would be when the alarm is ringing, but the house is not, in fact, on fire. The second case is the type to error, which thankfully, we haven't experienced, in which the house is on fire, but the alarm has not notified us of that. You'd rather have a few false alarms and no missing alarms than none at all. So let me give you another example: What do you sniff for bad smells? To see what you think of it,  sneak into your fridge and

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