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Orange lec 2

Authored by Martina Bishay

Information Technology (IT)

University

Used 1+ times

Orange lec 2
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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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