BUAL 2650 Exam 2 Lee |
Questions and Answers
Which of the following is
not true
regarding data mining? - -It is one task within a process
- Data mining is defined as a process of identifying valid, novel, potentially
useful, and understandable
patterns in data. What is the meaning of 'valid'? - -The pattern should hold
true on new data.
- The goal of which task is to predict categories? - -Cassification
- What is the problem of finding hidden structure in data without given an
explicit output variable
(unlabeled data)? - -Unsupervised Learning
- Task of inferring a model from labeled training data is called - -supervised
learning
- Assume you want to perform supervised learning and to predict number of
newborns according to
size of storks' population, it is an example of - -Regression
- Discriminating between spam and non-spam emails is a classification task
(T/F) - -True
- Which of the following is an example of unsupervised learning - -Clustering
- CRISP-DM - -Cross Industry Standard Process for Data Mining
- Select the incorrect statement about prediction that is one of data mining
tasks?
A) Two major types of predictions are classification and regression.
B) Supervised learning methods can be used for classification and
regression.
C) Classification is used for predicting continuous outcome variables
D) Regression is used for predicting continuous outcome variables. - -
Classification is used for predicting continuous outcome variables.
- (_______) is a task to segment data into groups that are not previously
defined. - -Clustering
Questions and Answers
Which of the following is
not true
regarding data mining? - -It is one task within a process
- Data mining is defined as a process of identifying valid, novel, potentially
useful, and understandable
patterns in data. What is the meaning of 'valid'? - -The pattern should hold
true on new data.
- The goal of which task is to predict categories? - -Cassification
- What is the problem of finding hidden structure in data without given an
explicit output variable
(unlabeled data)? - -Unsupervised Learning
- Task of inferring a model from labeled training data is called - -supervised
learning
- Assume you want to perform supervised learning and to predict number of
newborns according to
size of storks' population, it is an example of - -Regression
- Discriminating between spam and non-spam emails is a classification task
(T/F) - -True
- Which of the following is an example of unsupervised learning - -Clustering
- CRISP-DM - -Cross Industry Standard Process for Data Mining
- Select the incorrect statement about prediction that is one of data mining
tasks?
A) Two major types of predictions are classification and regression.
B) Supervised learning methods can be used for classification and
regression.
C) Classification is used for predicting continuous outcome variables
D) Regression is used for predicting continuous outcome variables. - -
Classification is used for predicting continuous outcome variables.
- (_______) is a task to segment data into groups that are not previously
defined. - -Clustering
