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.

7 Questions2 MinutesCreated by LearningTree101

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

Machine Learning

Machine Learning Mastery Quiz

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