MC To guarantee maximum independence and organizational impact of analytics, it is important that... the Chief Data Officer (CDO) or Chief Analytics Officer (CAO) reports to the CIO or CFO. incorrect a Chief Data Officer or Chief Analytics officer is added to the executive committee who directly reports to the CEO. correct the CIO takes care of all analytical responsibilities. incorrect analytics is supervised only locally in the business units. incorrect MC Which statement is CORRECT? To guarantee maximum independence and organizational impact of analytics, it is important that a Chief Data Officer or Chief Analytics officer is added to the executive committee who directly reports to the CEO. correct In logistic regression, the doubling amount is equal to log (2) x ?i. incorrect Leave-one-out cross-validation on a data set with n observations will result in n-1 analytical models. incorrect Featurization in the context of neural networks refers to adding more nodes to the network. incorrect MC Outlying observations which represent erroneous data are treated using... missing value procedures. correct truncation or capping. incorrect MC The aim of clustering is to come up with clusters such that the... homogeneity within a cluster is minimized and the heterogeneity between clusters is maximized. incorrect homogeneity within a cluster is maximized and the heterogeneity between clusters is maximized. correct homogeneity within a cluster is maximized and the heterogeneity between clusters is minimized. incorrect homogeneity within a cluster is minimized and the heterogeneity between clusters is minimized. incorrect MC Consider a data set with a multiclass target variable as follows: 25% bad payers, 25% poor payers, 25% medium payers and 25% good payers. In this case, the entropy will be: Minimal incorrect Maximal correct MC Which of the following measures cannot be used to make the splitting decision in a regression tree? ANOVA/F-test incorrect Entropy correct Mean Squared Error (MSE) incorrect MC Which of the following measures cannot be used to make the splitting decision in a regression tree? ANOVA/F-test incorrect Entropy correct Mean Squared Error (MSE) incorrect MC Given the following decision tree:



According to the decision tree, an applicant with Income > $50.000 and High Debt=Yes is classified as: Bad Risk correct Good Risk incorrect MC Which of the following strategies can be used to deal with missing values? Keep incorrect Delete incorrect Replace/impute incorrect All of these strategies can be applied correct MC Decision trees can be used in the following applications: Credit risk scoring, churn prediction and customer profile segmentation incorrect Credit risk scoring incorrect Credit risk scoring and churn prediction correct Credit risk scoring, churn prediction, customer profile segmentation and market basket analysis. incorrect