EBTM350 CHPT 11 EXAM QUESTIONS AND ANSWERS
WITH COMPLETE VERIFIED SOLUTIONS
Manhattan Distance
the shortest distance between two observations if you are allowed to move horizontally
or vertically.
The Manhattan distance is calculated using the formula=|x1i−x1j|+|x2i−x2j|+|
x3i−x3j|+⋯+|xki−xkj|. Calculate the Manhattan distance between Observations 1
and 2 which is shown by Observation 1: (3,4) and Observation 2: (4,5)
2 is correct
Reason: | 3 − 4 | + | 4 − 5 | =2
Euclidean and Manhattan distance measures are suitable for numerical variables.
What are two commonly used measures for categorical and binary data?
Standardizing
Euclidean distance
Matching coefficient
Jaccard's coefficient
Matching coefficient
Jaccard's coefficient
When conducting data mining analysis, practitioners generally adopt two
standards.
Sample, Explore, Modify, Model, and Assess (SEMMA)
, Cross-Industry Standard Process for Data Mining (CRISP-DM)
American National Standards (ANSI)
International Standards Organization (ISO)
Sample, Explore, Modify, Model, and Assess (SEMMA)
Cross-Industry Standard Process for Data Mining (CRISP-DM)
Matching coefficient formula
Number of variables with matching value for observations/Total number of variables
Which of the answer below is consistent with the percentage of data in training
data set and percentage of data in validation data set?
(40%,60%)
(30%,70%)
(60%,40%)
(70%,30%)
(60%,40%)
The process of dividing a data set into a training, a validation, and an optional
test data set is called?
Data mining
Data partitioning
Data sampling
Data collection
Data partitioning
Data _______ is the process of dividing a data set into a training, a validation,
and, in some situations, an optional test data set.
WITH COMPLETE VERIFIED SOLUTIONS
Manhattan Distance
the shortest distance between two observations if you are allowed to move horizontally
or vertically.
The Manhattan distance is calculated using the formula=|x1i−x1j|+|x2i−x2j|+|
x3i−x3j|+⋯+|xki−xkj|. Calculate the Manhattan distance between Observations 1
and 2 which is shown by Observation 1: (3,4) and Observation 2: (4,5)
2 is correct
Reason: | 3 − 4 | + | 4 − 5 | =2
Euclidean and Manhattan distance measures are suitable for numerical variables.
What are two commonly used measures for categorical and binary data?
Standardizing
Euclidean distance
Matching coefficient
Jaccard's coefficient
Matching coefficient
Jaccard's coefficient
When conducting data mining analysis, practitioners generally adopt two
standards.
Sample, Explore, Modify, Model, and Assess (SEMMA)
, Cross-Industry Standard Process for Data Mining (CRISP-DM)
American National Standards (ANSI)
International Standards Organization (ISO)
Sample, Explore, Modify, Model, and Assess (SEMMA)
Cross-Industry Standard Process for Data Mining (CRISP-DM)
Matching coefficient formula
Number of variables with matching value for observations/Total number of variables
Which of the answer below is consistent with the percentage of data in training
data set and percentage of data in validation data set?
(40%,60%)
(30%,70%)
(60%,40%)
(70%,30%)
(60%,40%)
The process of dividing a data set into a training, a validation, and an optional
test data set is called?
Data mining
Data partitioning
Data sampling
Data collection
Data partitioning
Data _______ is the process of dividing a data set into a training, a validation,
and, in some situations, an optional test data set.
