Suppose our model has perfect sensitivity and perfect
1. Suppose our model has perfect sensitivity and perfect specificity. What then is our accuracy and overall error rate?
2. If we use a hypothesis testing framework, explain what represents a type I error and a type II error
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1 true or false if model a has better accuracy than model b then model a has fewer false negatives than model b if
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1 suppose our model has perfect sensitivity and perfect specificity what then is our accuracy and overall error rate2
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the law enforcement profession has existed in the community policing era since the 1980s from the e-activity
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