FEbaLABfri
Authored by Armilyn Martinez
Science
University
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60 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Predictive analytics primarily focuses on:
Describing historical data
Forecasting future outcomes
Managing data storage
Database design
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In linear regression, the coefficient represents:
Data variability
Sampling error
Random noise
Change in dependent variable per unit change in independent variable
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Boston Housing dataset is typically used for:
Regression analysis and predictive modeling
Classification problems
Clustering techniques
Time series forecasting
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
R-squared (R²) metric measures:
Prediction error
Data complexity
Proportion of variance explained by the model
Statistical significance
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Logistic regression is most appropriate for:
Continuous prediction
Binary classification problems
Time series forecasting
Clustering analysis
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Chen Model is primarily associated with:
Machine learning algorithms
Regression techniques
Neural network design
Time series forecasting methods
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Time series decomposition typically identifies:
Trend, seasonality, and residual components
Machine learning parameters
Regression coefficients
Classification boundaries
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