Machine Learning Hyperparameters and Models

Machine Learning Hyperparameters and Models

Assessment

Interactive Video

Computers, Mathematics, Science

9th - 12th Grade

Practice Problem

Hard

Created by

Patricia Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal when dealing with a large dataset in machine learning?

To discover patterns and make predictions

To eliminate all outliers

To increase the size of the dataset

To reduce the number of data points

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is selecting a machine learning model not straightforward?

Because models are too expensive

Because there are only a few models to choose from

Because all models perform the same

Because there are many model types and architectures

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the batch size parameter determine in training?

The number of layers in the model

The number of data points used at once for training

The number of epochs

The type of model used

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a training parameter?

Learning rate

Batch size

Number of epochs

Model architecture

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are model parameters in a neural network?

The number of epochs

The weights and biases

The type of activation function

The learning rate and batch size

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of hyperparameters in the training process?

They affect the speed and quality of training

They are not important for training

They are learned during training

They are the same as model parameters

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the prefix used for parameters that are over and above the training process?

Hyper

Ultra

Mega

Super

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