1. In the context of modeling categorical values, dummy coding is ________.

Multiple Choice

• measuring the absolute difference between the predicted and actual values in a predictive model

• creating a dichotomous value to represent a variable

• typically dividing data into ten subsets called folds

• representing the difference between the observed and predicted values of a dependent variable

2. In the ridesharing case study, the variable representing the likelihood of rain for a specific forecast period and location is ________.

Multiple Choice

• percent_humidity

• percent_Rain

• rainPossibility

• precipProbability

3. Which of the following metrics returns the percentage absolute difference in error prediction, on average, from the actual target?

Multiple Choice

• Root Mean Squared Error

• Mean Absolute Error

• precipProbability

• Mean Absolute Percentage Error

4. In the ridesharing case study, the windspeed variable refers to the

Multiple Choice

• wind gust measuring the increase in wind speed at the time and location of the ride.

• air quality at the time and location of the ride.

• wind speed at the time and location of the ride.

• the likelihood of rain for a specific forecast period and location.

5. Identify a true statement about the N-fold cross evaluation method of model validation.

Multiple Choice

• This method requires minimal computer processing power and no training time.

• This procedure typically uses ten data subsets.

• This method uses randomly selected data.

• This procedure is highly sensitive to variation in the datasets.