Model Evaluation
6 practice questionsArtificial IntelligenceStep-by-step solutions
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1
Why is a model evaluated on a separate test set rather than the training set?
A.To make training faster
B.To estimate how well it generalizes to unseen data
C.Because training data is always wrong
D.To reduce the number of features
2
A model that is too simple to capture the underlying patterns in the data is said to be:
A.Overfitting
B.Underfitting
C.Regularized
D.Converged
3
A confusion matrix is used to evaluate the performance of a:
A.Regression model
B.Classification model
C.Search algorithm
D.Clustering only
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