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ML_workshop_DAY_4_03/08/23

Authored by Man 1

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ML_workshop_DAY_4_03/08/23
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9 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Testing phase comes after which phase?

Data Collection phase

Optimization phase

Training Phase

Deployment Phase

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What percentage of the dataset is usually reserved for normal testing?

5-10 %

30-50%

100%

10-30%

3.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Why is Cross Validation better ?

(only two options are correct)

Much more robust

Testing is done across the

whole dataset fully

It saves time

It gives you high accuracy

4.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Is precision and recall always preferred over accuracy?

Sometimes

Always

You never know for sure

No idea

5.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Recall depends on ?

True Positive and

False Positive

True Negative and

False Negative

True Positive and

False Negative

True Positive and

True Negative

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Characteristics of Overfitting model ?

High Training Error

and

High Testing Error

Low Training Error

and

High Testing Error

Low Training Error

and

Low Testing Error

High Training Error

and

Low Testing Error

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

What are Hyperparameters?

Values/variables which

influence the training process

Values which are learnt

from the dataset

Parameters which are hyper

hyper values which are

parameters

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