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Daily Quiz (24.12.20)

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

What are the properties of building a dateset?

a)

Data-set fits the problem

b)

Data-set has to be in tabular form.

c)

Data-set should be complete

d)

Data-set should have more rows than columns.

e)

Annotation facility and user experience of data-set over time

2.

If the data is not evenly distributed between different categories, then which bias will occur?

a)

Recall bias

b)

Confirmation bias

c)

Sampling bias

d)

Selection bias

3.

Is Accuracy the prime factor for classification of fradulant credit card transaction problem?

a)

Yes

b)

No

4.

Data size is more important in Machine Learning than Deep Learning.

a)

True

b)

False

5.

In spam detection which metric is the most important factor?

a)

Precision

b)

Recall

c)

Accuracy

6.

In cancer patient classification which metric is the most important?

a)

Precision

b)

Recall

c)

Accuracy

7.

In Facial Recognition problem which metrics are most important?

a)

Precision

b)

Recall

c)

Accuracy

d)

All of them

8.

In classification problem when both true positive and true negative are important, then which metric will be best for measurement of that problem?

a)

Precision

b)

Recall

c)

F1-measure

d)

Accuracy

9.

If San Francesco parking sign dataset is expanded into London, do the dataset need to be trained by new dataset of London?

a)

Yes

b)

No

10.

Which two kinds of examples should you include in your instructions for any data annotation? (Check two answers.)

a)

The most common types of data annotations

b)

At least one example for each possible data annotation

c)

Ambiguous or "tricky" annotation cases

d)

Examples of wrongly-labeled data