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Machine Learning Quiz

Authored by Аружан Аканова

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Machine Learning Quiz
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38 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In kNN, for measuring distance with continuous features we use _____

Hamming distance
Manhattan distance
Minkowski distance
Euclidean distance

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the output of a classification algorithm?

A categorical value

A countinuous value

Groups of similar instances

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Esep. The logistic function k

Logistic regression
Exponential function

the number of independent variables/features

Sigmoid function

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How the performance of k-nearest neighbors (k-NN) is affected by small values of k

The performance of k-NN improves with small values of k due to reduced complexity
Small values of k in k-NN lead to better generalization and less overfitting
k-NN is not affected by the value of k
The performance of k-NN deteriorates with small values of k due to increased sensitivity to noise and overfitting.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In a confusion matrix for cancer detection if We predicted yes, but they don't have the disease

True Negative
False Positive
False Negative
True Positive

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Data used to optimize the parameter settings of a supervised learner model.

Validation data
Testing data
Unlabeled data
Training data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Mathematical techniques that guide how the parameter space should be explored during Bayesian optimization.

Random search
Acquisition functions
Gradient descent
Hill climbing

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