
DBSM AIML Lesson 2 - diff learning approach
Authored by June ho
Computers
12th Grade
Used 2+ times

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8 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In supervised learning, there is always a ______ variable.
target
independent
feature
input
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The ________ are independent variables that will affect the target variable.
target
output
features
response
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In __________ learning, there is no target variable.
supervised
unsupervised
clustering
reinforcement
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When working on an machine learning model, the data is normally split into three parts. Choose the correct way of partitioning the dataset.
10% train, 40% validate and 50% test
10% train, 10% validate and 80% test
0% train, 70% validate and 30% test
70% train, 20% validate and 10% test
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Build a dynamic pricing model that adjusts the price based on customer response to offers. This is an example __________ learning model.
supervised
reinforcement
unsupervised
clustering
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A model that could segment customers by behavioral characteristics. This is an example of _________ learning.
reinforcement
supervised
unsupervised
associative
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A machine learning model that predicts the price of a house. The target variable is the price (continuous quantity) of the house or property. This is an example of _______ model.
clustering
classification
regression
time series
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