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University

60 Qs

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Final ML

Final ML

Assessment

Quiz

Specialty

University

Hard

Created by

deadzone 4000

Used 2+ times

FREE Resource

60 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is K-means primarily used for?

Dimensionality reduction

Clustering

Classification

Regression

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is used for density-based clustering?

K-means

DBSCAN

t-SNE

PCA

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an unsupervised learning algorithm?

Decision Trees

DBSCAN

t-SNE

Factorization of non-negative matrices

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

hat does t-SNE stand for?

T-distributed Stochastic Neighbor Embedding

Tree-Structured Neighborhood Embedding

Time Series Network Evaluation

Title Statistics Nether Embed

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In K-means clustering, how is the number of clusters determined?

By the user input

Automatically by the algorithm

Randomly

Typically

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is sensitive to outliers?

K-means

DBSCAN

Decision Trees

Random Forest

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a hierarchical clustering algorithm?

K-means

DBSCAN

t-SNE

Factorization of non-negative matrices

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