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4. A regression between foot length (dependent variable in cm) and height (independent variable in inches) for 33
students resulted in the following equation:
y = 10.9 + 0.23x
A student in the sample was 71 inches tall. What is the predicted foot length for this student?
a. 17.57 cm b. 27.23 cm
c. 29 cm d. 33 cm
5. is a classification problem.
a. heart disease detection b. recommended systems
c. sales prediction d. None of these
6. is the process of grouping a data set into a set of similar items.
a. Regression b. Decision Trees
c. Classification d. Clustering
7. What is the goal of machine learning?
a. The goal of Machine Learning is to enable machines to learn manually using the provided data
and make accurate Predictions/ Decisions.
b. The goal of Machine Learning is to enable humans to learn manually using the provided
data and make accurate predictions / decisions.
c. The goal of Machine Learning is to enable machines to learn by themselves using the
provided data and make accurate predictions / decisions.
d. The goal of Machine Learning is to make humans lazy .
8. Which of the following is NOT a clustering algorithm?
a. Distribution-based b. Centroid-based
c. Multi-class d. Hierarchical
9. What is one of the main disadvantages of linear regression?
a. It is difficult to implement
b. It requires a large amount of computational resources
c. It is sensitive to outliers
d. It is not suitable for any real-life applications
10. What is a primary disadvantage of the K-Means clustering algorithm?
a. It cannot handle large datasets.
b. It can handle large data sets.
c. It is heavily influenced by outliers.
d. It is complex to implement.
B. Fill in the blanks.
1. The more data the machine is given (assuming that the data is reliable), the more accurate is its .
2. As the independent variable is adjusted, the level of the variable will vary.
3. Centroid-based clustering arranges the data into clusters.
4. shows that an event is the direct result of the occurrence of another event.
Machine Learning Algorithms 361

