
Machine Learning
Authored by Divya B_7698
Computers
University
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13 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main difference between classification and regression?
Classification predicts continuous values, while regression predicts categories
Classification predicts categories, while regression predicts continuous values
Both classification and regression predict continuous values
None of the above
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of a classification problem?
Predicting house prices
Predicting customer churn (Yes/No)
Predicting a student’s exam score
Predicting the temperature of a city
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a Decision Tree in Machine Learning?
A type of tree that grows based on input data
A flowchart-like model used for decision-making
A clustering technique
None of the above
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the stopping criteria for growing a decision tree?
All data is classified perfectly
Maximum depth is reached
A node has too few samples
All of the above
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a Random Forest model improve accuracy?
By combining multiple Decision Trees
By using only the most important features
By using a single deep Decision Tree
By making random guesses
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What technique does Random Forest use to create multiple trees?
Gradient Boosting
Bagging (Bootstrap Aggregating)
Clustering
Feature Selection
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the kernel trick in SVM?
To make SVM work faster
To transform data into a higher dimension for better separation
To remove outliers
To reduce overfitting
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