Author Question: Applying descriptive statistics and data visualization to the training set to understand the data ... (Read 180 times)

cookcarl · **on:** Jun 24, 2018

Applying descriptive statistics and data visualization to the training set to understand the data and assist in the selection of an appropriate technique is a part of
a. data exploration.
b. data partitioning.
c. data preparation.
d. model assessment.

Question 2

k-means clustering is the process of
a. agglomerating observations into a series of nested groups based on a measure of similarity.
b. organizing observations into distinct groups based on a measure of similarity.
c. reducing the number of variables to consider in data-mining.
d. estimating the value of a continuous outcome variable.

shayla · **Reply #1 on:** Jun 24, 2018

Answer to Question 1

a
RATIONALE: Data exploration at this level includes applying descriptive statistics and data visualization to the training set to understand the data and assist in the selection of an appropriate technique.

Answer to Question 2

b
RATIONALE: k-means clustering is the process of organizing observations into one of k groups based on a measure of similarity.