The Instance-Based Learning Quiz: Are You an Expert?

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| By Madhurima Kashyap
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Madhurima Kashyap
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Quizzes Created: 39 | Total Attempts: 11,739
| Attempts: 84 | Questions: 10
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1. What is instance-based learning?

Explanation

Instance-based learning is a type of learning that is based on specific instances or examples rather than generalized rules.

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About This Quiz
The Instance-based Learning Quiz: Are You An Expert? - Quiz

The Instance-Based Learning Quiz: Are You an Expert?" is a meticulously crafted questionnaire that evaluates your knowledge about instance-based learning. Instance-Based Learning Quiz delves into the fundamental nature of instance-based learning, standard algorithms such as K-Nearest Neighbors (KNN), and how it works.
It helps assess your understanding of key advantages and... see moredisadvantages, particularly computational costs and the absence of a training phase. The quiz further scrutinizes your grasp on elements like 'K' in KNN, decision-making processes, distance metrics, and decision boundaries' behavior with varying 'K' values. Concluding with real-world applications of KNN, this quiz presents a comprehensive check on your proficiency in instance-based learning.
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2. Which of the following is a type of instance-based learning?

Explanation

K-Nearest Neighbors (KNN) is a type of instance-based learning where the classification of a point is based on the points that are nearest to it.

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3. Which algorithm is commonly used in instance-based learning?

Explanation

KNN is a non-parametric algorithm because it does not assume any specific form or underlying structure in the data. Instead, it relies on a measure of similarity between each pair of data points.

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4. In the context of instance-based learning, what is K in K-Nearest Neighbors (KNN)?

Explanation

The k value in the k-NN algorithm defines how many neighbors will be checked to determine the classification of a specific query point.

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5. How does K-Nearest Neighbors (KNN) make predictions?

Explanation

The KNN algorithm uses a majority voting mechanism. It collects data from a training data set, and uses this data later to make predictions for new records. For each new record, the k-closest records of the training data set are determined.

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6. What is the main advantage of instance-based learning?

Explanation

One main advantage of instance-based learning is that it doesn't require a training phase as it uses the training instances for prediction.

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7. What is the main disadvantage of instance-based learning?

Explanation

The main disadvantage of instance-based learning is that it has high computational cost as it needs to compute the distance to all training points.

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8. In K-Nearest Neighbors (KNN), how does changing the value of K affect the decision boundary?

Explanation

In K-Nearest Neighbors (KNN), larger values of K generally result in smoother decision boundaries, reducing the chance of overfitting.

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9. Which of the following is a real-world application of K-Nearest Neighbors (KNN)?

Explanation

KNN can be used for Recommendation Systems. Although in the real world, more sophisticated algorithms are used for the recommendation system. KNN is not suitable for high dimensional data, but KNN is an excellent baseline approach for the systems.

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10. Which distance metric is commonly used in K-Nearest Neighbors (KNN)?

Explanation

This distance is the most widely used one as it is the default metric that SKlearn library of Python uses for K-Nearest Neighbour. It is a measure of the true straight line distance between two points in Euclidean space.

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What is instance-based learning?
Which of the following is a type of instance-based learning?
Which algorithm is commonly used in instance-based learning?
In the context of instance-based learning, what is K in K-Nearest...
How does K-Nearest Neighbors (KNN) make predictions?
What is the main advantage of instance-based learning?
What is the main disadvantage of instance-based learning?
In K-Nearest Neighbors (KNN), how does changing the value of K affect...
Which of the following is a real-world application of K-Nearest...
Which distance metric is commonly used in K-Nearest Neighbors (KNN)?
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