AI_MachineLearning_Froggy JumP_Quuiz9

Froggy Jumps

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Multiple choice questions

Created by

Siva Ranjini

India

Download the paper version to play

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Froggy Jumps AI_MachineLearning_Froggy JumP_Quuiz9Online version Multiple choice questions by Siva Ranjini 1 Semi-supervised learning is most useful when: a All data is labeled b Only unlabeled data is present c d) Only some data is labeled 2 What is the primary goal of linear regression? a Classify data b Group data c Predict continuous values 3 A system predicts whether an email is spam or not. This is an example of: a Classification b Regression c Clustering 4 Which scenario best represents supervised learning? a Predicting house prices using past data b Grouping customers without labels c Learning through rewards in a game 5 A dataset is not linearly separable, but a model still classifies it correctly using transformation techniques. What is the main goal of SVM in this case? a Minimize margin b Maximize margin c Reduce features 6 A self-driving car learns to drive by interacting with the environment and receiving rewards for safe driving and penalties for collisions. Which learning approach is being used? a Reinforcement learning b Supervised learning c Unsupervised learning

Froggy Jumps

AI_MachineLearning_Froggy JumP_Quuiz9Online version

Multiple choice questions

by Siva Ranjini

Semi-supervised learning is most useful when:

All data is labeled

Only unlabeled data is present

d) Only some data is labeled

What is the primary goal of linear regression?

Classify data

Group data

Predict continuous values

A system predicts whether an email is spam or not. This is an example of:

Classification

Regression

Clustering

Which scenario best represents supervised learning?

Predicting house prices using past data

Grouping customers without labels

Learning through rewards in a game

A dataset is not linearly separable, but a model still classifies it correctly using transformation techniques. What is the main goal of SVM in this case?

Minimize margin

Maximize margin

Reduce features

A self-driving car learns to drive by interacting with the environment and receiving rewards for safe driving and penalties for collisions. Which learning approach is being used?

Reinforcement learning

Supervised learning

Unsupervised learning

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AI_MachineLearning_Froggy JumP_Quuiz9

Froggy Jumps

About this activity

Created by

Download the paper version to play

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Froggy Jumps

AI_MachineLearning_Froggy JumP_Quuiz9Online version

by Siva Ranjini

Semi-supervised learning is most useful when:

What is the primary goal of linear regression?

A system predicts whether an email is spam or not. This is an example of:

Which scenario best represents supervised learning?

A dataset is not linearly separable, but a model still classifies it correctly using transformation techniques. What is the main goal of SVM in this case?

A self-driving car learns to drive by interacting with the environment and receiving rewards for safe driving and penalties for collisions. Which learning approach is being used?

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