
Data Mining-Statistical Measures
Quiz
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Computers
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University
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Practice Problem
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Medium
Mrs.C. Rathika
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15 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does Maximum Likelihood Estimation (MLE) aim to do?
Minimize variance
Maximize the likelihood of the observed data
Reduce redundancy
Eliminate missing values
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In linear regression, the goal is to:
Cluster data
Find hidden patterns
Predict a continuous output
Classify text
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a node in a decision tree represent?
A database table
An outcome
An attribute test
A regression line
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
MSE is used to measure:
The correlation between variables
The average squared difference between predicted and actual values
The percentage accuracy of classification
The entropy of a dataset
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does a leaf node in a decision tree represent?
A test
An attribute
A final class label or prediction
The root
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main goal of the Expectation-Maximization (EM) algorithm?
To minimize classification error
To find maximum likelihood estimates
To reduce the number of features
To perform dimensionality reduction
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What happens during the Expectation (E-step) of the EM algorithm?
Parameters are updated
The likelihood function is minimized
Missing data is predicted using current parameter estimates
Features are selected
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