ML Essentials Quiz

Froggy Jumps

Played 6

Create copy

About this activity

Test your ML basics quickly.

Created by

wejadaj

India

Download the paper version to play

Top 10 results

#	Player	Accuracy	time
1	wejadaj October 31, 2025	% 10	00:25

Do you want to stay in the Top 10 of this game? Log in to identify yourself.

Make your own free game from our game creator

Compete against your friends to see who gets the best score in this game

Make challenge

Phlebotomy Order of Draw Quiz

Pamela Chapman

United States

(61)

Test your knowledge of the order of draw in Phlebotomy with these 10 questions!
Bill of Rights Game - The Constitutionalist

Doni The Don

United States

(91)

Test your knowledge on the Bill of Rights. A fun way to test your knowledge and focus on where you need to improve.
The Integumentary System

Breanna Nesbitt

United States

(59)

Functions and Structures of the skin
pizza

Lorelay Tyana

Romania

(266)

joc despre pizza
Ethos, Pathos, and Logos Quiz

Kristine Vester

United States

(134)

Test your knowledge of ethos, pathos, and logos with these 10 questions on examples of persuasive techniques.


Froggy Jumps ML Essentials QuizOnline version Test your ML basics quickly. by wejadaj 1 What does ML stand for? a Machine Logic b Multilingual c Machine Learning 2 What supervised task predicts a continuous value? a Regression b Clustering c Classification 3 Which technique adds a penalty term to reduce overfitting? a Dropout b Normalization c Regularization 4 Which algorithm uses the majority vote of nearest labeled points? a Support Vector Machines b k-Nearest Neighbors c Decision Trees 5 What does overfitting describe in ML? a Too fast convergence b Model fits training data too closely and lacks generalization c Underfitting the data 6 Which dataset split is used to tune models? a Validation set b Training set c Test set 7 What optimization method minimizes loss functions? a Gradient Descent b Random Search c Grid Expansion 8 A neural network is inspired by what? a Biological neurons b Quantum particles c Solar panels 9 Which task is typical of unsupervised learning? a Clustering b Regression c Classification 10 Name a popular Python ML library. a scikit-learn b Pandas c NumPy

Froggy Jumps

ML Essentials QuizOnline version

Test your ML basics quickly.

by wejadaj

What does ML stand for?

Machine Logic

Multilingual

Machine Learning

What supervised task predicts a continuous value?

Regression

Clustering

Classification

Which technique adds a penalty term to reduce overfitting?

Dropout

Normalization

Regularization

Which algorithm uses the majority vote of nearest labeled points?

Support Vector Machines

k-Nearest Neighbors

Decision Trees

What does overfitting describe in ML?

Too fast convergence

Model fits training data too closely and lacks generalization

Underfitting the data

Which dataset split is used to tune models?

Validation set

Training set

Test set

What optimization method minimizes loss functions?

Gradient Descent

Random Search

Grid Expansion

A neural network is inspired by what?

Biological neurons

Quantum particles

Solar panels

Which task is typical of unsupervised learning?

Clustering

Regression

Classification

Name a popular Python ML library.

scikit-learn

Pandas

NumPy

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.

ML Essentials Quiz

Froggy Jumps

About this activity

Created by

Download the paper version to play

Top Games

Froggy Jumps

Phlebotomy Order of Draw Quiz

Froggy Jumps

Bill of Rights Game - The Constitutionalist

Froggy Jumps

The Integumentary System

Froggy Jumps

pizza

Froggy Jumps

Ethos, Pathos, and Logos Quiz

Froggy Jumps

ML Essentials QuizOnline version

by wejadaj

What does ML stand for?

What supervised task predicts a continuous value?

Which technique adds a penalty term to reduce overfitting?

Which algorithm uses the majority vote of nearest labeled points?

What does overfitting describe in ML?

Which dataset split is used to tune models?

What optimization method minimizes loss functions?

A neural network is inspired by what?

Which task is typical of unsupervised learning?

Name a popular Python ML library.

		%
	Anonymous	%
		%
		%