Machine Learning Quiz

Machine Learning Quiz

12th Grade

9 Qs

quiz-placeholder

Similar activities

Koding dan Kecerdasan Buatan

Koding dan Kecerdasan Buatan

12th Grade

10 Qs

Refleksi Chatbot

Refleksi Chatbot

11th Grade - University

13 Qs

Ice Breaking Informatika

Ice Breaking Informatika

10th Grade - University

10 Qs

Written Work 4 (.NET Technology)

Written Work 4 (.NET Technology)

12th Grade

10 Qs

SOAL KODING-1

SOAL KODING-1

12th Grade

10 Qs

REFLEKSI INFORMATIKA KELAS XII

REFLEKSI INFORMATIKA KELAS XII

12th Grade

12 Qs

quiz kelompok 3

quiz kelompok 3

12th Grade

10 Qs

Remedial Pengetahuan DNS

Remedial Pengetahuan DNS

11th Grade - University

10 Qs

Machine Learning Quiz

Machine Learning Quiz

Assessment

Quiz

Information Technology (IT)

12th Grade

Easy

Created by

Aashi Verma

Used 1+ times

FREE Resource

AI

Enhance your content in a minute

Add similar questions
Adjust reading levels
Convert to real-world scenario
Translate activity
More...

9 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

Which of the following is a type of supervised learning?

Supervised

Unsupervised

Reinforcement

Data Engine

2.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

Which algorithm is used for clustering?

K-Means

Linear Regression

Decision Tree

Principal Component

3.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

What is the purpose of supervised learning?

To predict

To classify

To find hidden patterns

To optimize

4.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

Which of the following is a type of ensemble method?

KNN

PCA

Naïve Bayes

Random Forest

5.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

In reinforcement learning, what does an agent receive?

Reward

Environment

State

Action

6.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

What is overfitting?

Performs well on training data

Generalizes poorly

Has too few data points

Has a low bias

7.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

Which activation function is commonly used in neural networks?

Softmax

Sigmoid

ReLU

All of the above

8.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

What is the purpose of a loss function?

To determine the error

To measure performance

To compute gradients

To train the model

9.

MULTIPLE CHOICE QUESTION

20 sec • 5 pts

What do regularization techniques do?

They reduce overfitting

They require more data

They work on all models

They use a penalty term