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
{"name":"Machine Learning", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"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.","img":"https:/images/course6.png"}
More Quizzes
Machine Learning Quiz 1
4216
PI2
402041
Clustering Techniques (Skill test Solution)
10513
Big Data 1
94250
Quiz 3
5218
Intro to Deep Learning : LR QUIZ
1050
NeuroData Training Quiz 2
9437
Decision Trees Mastery Quiz
11616
Marketing Analytics week 10
10510
NeuroData Training : Quiz2
10516
Data Science Quiz
10513
IS4
532618