Instance-Based Learning QUIZ - MCQ QUESTIONS AND ANSWERS

Question: 1

In instance-based learning, what is the purpose of instance reduction techniques?

Question: 2

What is the main limitation of k-Nearest Neighbors in handling imbalanced datasets?

Question: 3

What is an advantage of using a distance-weighted k-Nearest Neighbors algorithm?

Question: 4

Which of the following is a lazy learning algorithm?

Question: 5

Which of the following is NOT an issue in instance-based learning algorithms?

Question: 6

In the context of instance-based learning, what is an episodic memory?

Question: 7

How can instance-based learning algorithms be adapted for anomaly detection tasks?

Question: 8

What is the effect of noise on instance-based learning algorithms?

Question: 9

Which of the following instance-based learning algorithms is a non-linear classifier?

Question: 10

What is a key difference between the k-Nearest Neighbors algorithm and the k-Means algorithm?

Question: 11

How can the performance of instance-based learning algorithms be improved when dealing with large datasets?

Question: 12

What is the effect of feature scaling on instance-based learning algorithms?

Question: 13

In instance-based learning, how can missing values be handled?

Question: 14

Which of the following is an advantage of instance-based learning over model-based learning?

Question: 15

In which of the following scenarios is instance-based learning likely to perform better than model-based learning?

Question: 16

Which of the following instance-based learning algorithms uses a network of instances to represent the training data?

Question: 17

Which of the following methods can be used to select the optimal 'k' value in k-Nearest Neighbors algorithm?

Question: 18

What is the primary difference between instance-based learning and model-based learning?

Question: 19

Which algorithm is an example of instance-based learning?

Question: 20

What type of distance metric is commonly used in k-Nearest Neighbors algorithm?

Question: 21

In k-Nearest Neighbors (k-NN), what does 'k' represent?

Question: 22

Which of the following is true about instance-based learning algorithms?

Question: 23

What is the primary disadvantage of using a large 'k' value in k-Nearest Neighbors algorithm?

Question: 24

Which of the following is NOT a step in the k-Nearest Neighbors algorithm?

Question: 25

Which of the following techniques can be used to address the curse of dimensionality in instance-based learning algorithms?

Question: 26

In the context of k-Nearest Neighbors, how is a regression problem handled?

Question: 27

Which of the following is a disadvantage of using a small 'k' value in k-Nearest Neighbors algorithm?

Question: 28

How can the k-Nearest Neighbors algorithm be adapted for multi-label classification problems?

Question: 29

In instance-based learning, what is the purpose of using a weighted voting scheme?

Question: 30

Which of the following is NOT a similarity measure used in instance-based learning algorithms?