Types of Machine Learning Exam Questions with
Answers
1. What category of machine learning algorithm finds patterns in the
data when the data is not labeled? (Unsupervised Learning or
Supervised Learning) correct answer: Unsu- pervised Learning
2. What type of machine learning algorithm makes predictions when
you have input data and you know the possible responses?
(Unsupervised Learning or Supervised Learning) correct answer:
Supervised learning
3. • approach problems with little or no idea what our results should
look like derive structure from data (Unsupervised Learning or
Supervised Learning) correct answer: - Unsupervised Learning
4. What does a classification model do? correct answer: Assigns data to a
predefined category
5. Predicting House Prices based on house size correct answer: Regression
6. Grouping images into Cat, Dog, Bird correct answer: Multiclass
Classification
7. Grouping protein data based on structural similarities correct answer:
Unsupervised Learning correct answer: Cluster- ing
8. Predicting height based on age correct answer: Regression
9. Grouping together tweets which display similar emotions correct
answer: Unsupervised Learning correct answer: Clustering
10. Predicting the cost of marshmallows in future years based
on the inflation rate correct answer: Regression
11. Classifying images of tumors as benign or malignant correct
answer: Binary classification
12. Grouping 1,000,000 different genes that somehow similar or
related by different variables, such as lifespan, location, roles, and so on.
correct answer: Unsupervised Learning correct answer: Clustering
13. Classifying emails as SPAM or NOT SPAM correct answer: Binary
Classification
14. Predicting the heights of dogs based on their weights correct
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3
Answers
1. What category of machine learning algorithm finds patterns in the
data when the data is not labeled? (Unsupervised Learning or
Supervised Learning) correct answer: Unsu- pervised Learning
2. What type of machine learning algorithm makes predictions when
you have input data and you know the possible responses?
(Unsupervised Learning or Supervised Learning) correct answer:
Supervised learning
3. • approach problems with little or no idea what our results should
look like derive structure from data (Unsupervised Learning or
Supervised Learning) correct answer: - Unsupervised Learning
4. What does a classification model do? correct answer: Assigns data to a
predefined category
5. Predicting House Prices based on house size correct answer: Regression
6. Grouping images into Cat, Dog, Bird correct answer: Multiclass
Classification
7. Grouping protein data based on structural similarities correct answer:
Unsupervised Learning correct answer: Cluster- ing
8. Predicting height based on age correct answer: Regression
9. Grouping together tweets which display similar emotions correct
answer: Unsupervised Learning correct answer: Clustering
10. Predicting the cost of marshmallows in future years based
on the inflation rate correct answer: Regression
11. Classifying images of tumors as benign or malignant correct
answer: Binary classification
12. Grouping 1,000,000 different genes that somehow similar or
related by different variables, such as lifespan, location, roles, and so on.
correct answer: Unsupervised Learning correct answer: Clustering
13. Classifying emails as SPAM or NOT SPAM correct answer: Binary
Classification
14. Predicting the heights of dogs based on their weights correct
1/
3
