
Orange lec 2
Authored by Martina Bishay
Information Technology (IT)
University
Used 1+ times

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11 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a numeric feature?
Gender
Salary
Marital Status
Occupation
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a categorical feature?
Height
Age
Education Level
Income
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following features can be as Metas/Ignored field?
Salary
Gender
No. of children
CustomerID
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Target field must be................... data type
text
numeric
categorical
date/time
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The widget CSV File Import, must be followed by..................
File widget
Select column widget
Distributions
Feature Statistics
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Any feature that will not affect the target and will not be displayed in the results.
Metas
Ignored
Select Columns
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
My role is to normalize any numeric field to a range from 0 to 1. This step will increase the efficiency of analyzing the dataset and increase the accuracy of prediction.
Normalization
Preprocess
Outliers
Data Sampler
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