Multiple Choice
Mahalanobis distance is a measure of
A) a likelihood of correctly classifying an observation to a group
B) quantifying covariance between independent variables in the model
C) quantifying covariance between dependent variables in the model
D) quantifying correlations between independent variables in the model
Correct Answer:
Verified
Correct Answer:
Verified
Q98: Two common ways of measuring impurity are
Q99: Suppose that a data set contains a
Q100: Exhibit 10.1<br>The following questions are based on
Q101: Standardization of a variable<br>A) removes the scale
Q102: Neural networks technique attempts to learn<br>A) what
Q104: Exhibit 10.1<br>The following questions are based on
Q105: To create the training and validation data
Q106: Technique(s) used in classification step of data
Q107: The Mahalanobis distance measure accounts for differences
Q108: In the _ step of data mining,