I’m working on a data analytics question and need an explanation and answer to help me learn.
- At first glance, it often seems that accuracy rate and error rate should be the most important metrics used to assess the quality of a classification model. However, when might another metric, such as sensitivity, precision, or specificity, be more important? You can use a real-life example or a fictional example to make the case here. You may want to use a confusion matrix as a visual aid.
- Using a real-life example, describe an ethical challenge related to data mining. In your post, be sure to explain why the issue is multi-sided before explaining your personal stance on the issue.
- Find a dataset that has a variable that contains dates, and read it into your R environment. Using any package in R, convert the column that contains dates to the Date data type. Use the str() function to prove that the variable has been converted. Write a few sentences that explain why formatting dates can be troublesome.


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