Question : Refer to the exhibit. You are using K-means clustering to classify customer behavior for a large retailer. You need to determine the optimum number of customer groups. You plot the within-sum-of-squares (wss) data as shown in the exhibit. How many customer groups should you specify? 1. 2 2. 3 3. Access Mostly Uused Products by 50000+ Subscribers 4. 8
Question : Refer to the exhibit. Click on the calculator icon in the upper left corner. You are given a list of pre-defined association rules: A) RENTER => BAD CREDIT B) RENTER => GOOD CREDIT C) HOME OWNER => BAD CREDIT D) HOME OWNER => GOOD CREDIT E) FREE HOUSING => BAD CREDIT F) FREE HOUSING => GOOD CREDIT For your next analysis, you must limit your dataset based on rules with confidence greater than 60%. Which of the rules will be kept in the analysis?
Question : Refer to the exhibit. You are using k-means clustering to discover groupings within a data set. You plot within-sum-ofsquares (wss) of multiple cluster sizes. Based on the exhibit, how many clusters should you use in your analysis? 1. 2 2. 8 3. Access Mostly Uused Products by 50000+ Subscribers 4. 10
1. that a newly created model provides a prediction of a null sample mean 2. that a newly created model does not provide better predictions than the currently existing model 3. Access Mostly Uused Products by 50000+ Subscribers 4. that a newly created model provides a prediction that will be well fit to the null distribution
1. The tree did not split on all the input variables. You need a larger data set to get a more accurate model. 2. The AUC is high, and the small nodes are all very pure. This is an accurate model. 3. Access Mostly Uused Products by 50000+ Subscribers 4. The AUC is high, so the overall model is accurate. It is not well-calibrated, because the small nodes will give poor estimates of probability.
1. PACF as an indication of stationarity, and ACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1. 2. ACF as an indication of stationarity, and PACF to determine the correlation of X1 through Xk-1. 3. Access Mostly Uused Products by 50000+ Subscribers 4. ACF as an indication of stationarity, and PACF for the correlation between Xt and Xt-k not explained by their mutual correlation with X1 through Xk-1.