Machine Learning
Machine Learning Mastery Quiz
Test your knowledge of machine learning with our engaging quiz! Dive into 7 carefully crafted questions that cover essential algorithms, concepts, and evaluation metrics.
- Explore decision trees and random forests.
- Understand the significance of gradient in optimization.
- Learn about classification model metrics.
Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging?
Decision Tree
Regression
Classification
Random Forest
To find the minimum or the maximum of a function, we set the gradient to zero because:
The value of the gradient at extrema of a function is always zero
Depends on the type of problem
Both A and B
None of the above
The most widely used metrics and tools to assess a classification model are:
Confusion matrix
Cost-sensitive accuracy
Area under the ROC curve
All of the above
Which of the following is a good test dataset characterstic?
Large enough to yield meaningful results
Is representative of the dataset as a whole
Both A and B
None of the above
Which of the following is a disadvantage of decision trees?
Factor analysis
Decision trees are robust to outliers
Decision trees are prone to be overfit
None of the above
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