Linear Regression

Quiz
•
Professional Development
•
Professional Development
•
Hard
John Padamadan
Used 11+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Supervised Learning is
learning with the help of examples
learning without teacher
learning with the help of teacher
learning with computers as supervisor
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In supervised learning
classes are not predefined
classes are predefined
classes are not required
classification is not done
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A field in the dataset used in the machine learning algorithm which is used for model creation is known as
dataset
supervised learning
unsupervised learning
classifiers
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
After training the ML model, we see how accurately it predicts the answer/responds. This process is called:
Recognition
Training
Predictive models
Testing
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
You are given data about seismic activity in Japan and you want to predict the magnitude of the next earthquake. This is an example of
Supervised Learning
Unsupervised learning
Serration
Dimensionality reduction
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In regression, the predicted variable will be
Classes
Strings
Continuous numbers
None of the mentioned
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is an optimum number of split for test and train?
5, 95
25, 75
50, 50
None of the mentioned
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