Your dependent variable Y is a count, ranging from 0 to infinity. Because Y is approximately log-normally
distributed, you decide to log-transform the data prior to performing a linear regression.
What should you do before log-transforming Y?
A classifier has been implemented to predict whether or not someone has a specific type of disease.
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST
to evaluate this model?
Which of the following options is a correct approach for scheduling model retraining in a weather prediction
application?
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