7
Artificial Intelligence
Unit 7: Evaluating Models
255+ practice questions available
Sample Practice Questions
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1
Easy
What is Mean Squared Error (MSE)?
AAverage of absolute differences between predicted and actual values
BAverage of squared differences between predicted and actual values
CSquare root of average absolute differences
DLogarithm of prediction errors
2
Easy
In k-fold cross-validation, if k = 5, how many times is the model trained?
A1
B3
C5
D10
3
Easy
What is throughput in model evaluation?
AThe number of predictions a model can make per unit time
BThe accuracy of the model
CThe number of features
DThe size of each prediction
4
Medium
What do AIC and BIC measure?
AModel quality balancing goodness of fit against complexity
BThe number of data points
CTraining speed
DThe size of the test set
5
Hard
What is the Fisher information matrix?
AA matrix measuring the amount of information data carries about model parameters, used to assess estimator efficiency
BA matrix of model weights
CA confusion matrix variant
DA matrix for data storage
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