_____ refers to the scenario in which the analyst builds a model ...

[krzymel]

_____ refers to the scenario in which the analyst builds a model that does a great job of explaining the sample of data on which it is based but fails to accurately predict outside the sample data.
 a. Underfitting b. Overfitting
  c. Oversampling d. Undersampling

Question 2

The endpoint of a k-means clustering algorithm occurs when
 a. Euclidean distance between clusters is minimized.
  b. Euclidean distance between observations in a cluster is maximized.
  c. no further changes are observed in cluster structure and number.
  d. all of the observations are encompassed within a single large cluster with mean k.

[johnharpe]

Answer to Question 1

b
RATIONALE: Overfitting occurs when the analyst builds a model that does a great job of explaining the sample of data on which it is based but fails to accurately predict outside the sample data.

Answer to Question 2

c
RATIONALE: The k-means algorithm repeats the process (calculate cluster centroid, assign observation to cluster with nearest centroid) until there is no change in the clusters or a specified maximum number of iterations is reached.