
Supervised Learning Concepts and Applications
Interactive Video
•
Computers
•
9th - 10th Grade
•
Practice Problem
•
Hard
Patricia Brown
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the three main types of learning in machine learning?
Unsupervised, Semi-supervised, Reinforcement
Supervised, Unsupervised, Reinforcement
Supervised, Unsupervised, Semi-supervised
Supervised, Semi-supervised, Reinforcement
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In supervised learning, what type of data is used to train the models?
Random data
Labeled data
Synthetic data
Unlabeled data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of a supervised learning algorithm?
To generate random predictions
To map input variables to output variables
To cluster data into groups
To reduce data dimensionality
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a step in the supervised learning process?
Collecting labeled data
Training the model
Testing with unlabeled data
Using reinforcement signals
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between regression and classification in supervised learning?
Both categorize data
Both predict continuous values
Regression categorizes data, classification predicts continuous values
Regression predicts continuous values, classification categorizes data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which algorithm is used for predicting continuous and real variables?
Dimensionality Reduction
Clustering
Regression
Classification
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an example of a binary classification problem?
Classifying types of music
Determining if an email is spam or not
Predicting stock prices
Forecasting weather
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