🎯Machine Learning Quiz

⏱️ 25 min 📚 Quiz 1
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Question 1 of 14

Which of these is an example of a machine learning task?

A
Hard-coding If-then Rules for Identifying Spam
B
Training a model on labeled photos to recognize objects
C
Randomly Guessing Labels for Data
D
Writing a Program That Calculates 2+2

Question 2 of 14

Machine learning finds patterns from ___ rather than explicit instructions.

💡 Drag or click the correct word from below into the blank to complete the sentence.
Machine learning finds patterns from
rather than explicit instructions.
Data
Rules
Code
Algorithms

Question 3 of 14

Which scenario is an example of unsupervised learning?

A
A Model Trained on Labeled Cat/Dog Images
B
A Robot Learning to Play a Game Through Rewards
C
Grouping News Articles by Topic Without Labels
D
Training a Spam Filter with Labeled Emails

Question 4 of 14

In supervised learning, the provided correct answers are called ___.

💡 Drag or click the correct word from below into the blank to complete the sentence.
In supervised learning, the provided correct answers are called
Features
Datasets
Clusters
Labels

Question 5 of 14

What type of machine learning involves an agent learning through trial and error with rewards?

A
Supervised Learning
B
Unsupervised Learning
C
Reinforcement Learning
D
Classification Learning

Question 6 of 14

Which problem is an example of regression?

A
Predicting Tomorrow's Temperature
B
Classifying Emails as Spam or Not
C
Grouping Animals Into Species
D
Training a Chatbot Through Conversation

Question 7 of 14

When each example's output is a numeric value, the machine learning task is called ___.

💡 Drag or click the correct word from below into the blank to complete the sentence.
When each example's output is a numeric value, the machine learning task is called
Classification
Regression
Clustering
Prediction

Question 8 of 14

What is the purpose of using clustering in machine learning?

A
To Predict Numeric Values
B
To Assign Predefined Labels to Data
C
To Split Data Into Training and Testing Sets
D
To Group Similar Data Points Together Without Labels

Question 9 of 14

Which of these is a feature in a machine learning dataset for predicting car prices?

A
The Car's Mileage
B
The Predicted Price
C
The Model's Overall Accuracy
D
The Size of the Training Set

Question 10 of 14

Each row in a dataset (with features and a label) is called an ___ or example.

💡 Drag or click the correct word from below into the blank to complete the sentence.
Each row in a dataset (with features and a label) is called an
or example.
Instance
Model
Algorithm
Parameter

Question 11 of 14

Why do we split data into training and testing sets?

A
To Make Training Faster
B
To Get An Unbiased Performance on New Data
C
To Provide Ground Truth Labels During Training
D
To Reduce the Number of Features

Question 12 of 14

We split the data into training and test sets to evaluate how well the model can ___ to new data.

💡 Drag or click the correct word from below into the blank to complete the sentence.
We split the data into training and test sets to evaluate how well the model can
to new data.
Memorize
Cluster
Validate
Generalize

Question 13 of 14

What does it mean if a model performs well on training data but poorly on test data?

A
The Model Has Generalized Well
B
The Test Data Is Incorrect
C
The Model Needs More Training Data
D
The model is overfitting the training data

Question 14 of 14

In a house price prediction dataset, what would be considered the label?

A
The Number of Bedrooms
B
The Square Footage
C
The Actual Sale Price of the House
D
The Neighborhood Location

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