Practical 6 - Classification

Practical 6 - Classification

University

14 Qs

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Practical 6 - Classification

Practical 6 - Classification

Assessment

Quiz

Education

University

Practice Problem

Medium

Created by

Abdulkarim Kanaan

Used 6+ times

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14 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of the MNIST dataset?

To classify images of animals

To recognize handwritten digits

To identify types of plants

To predict weather patterns

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How many features does each image in the MNIST dataset have?

784

1024

500

256

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which method is used to split the MNIST dataset into training and test sets?

Random Split

Temporal Split

Fixed Split (First 60,000 for training, last 10,000 for testing)

K-Fold Cross-Validation

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is used to evaluate the performance of the classification models?

Mean Absolute Error

Cross-Validation Accuracy

Root Mean Squared Error

Adjusted R-Squared

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a confusion matrix used for in classification tasks?

To visualize the decision boundaries

To summarize prediction results and identify misclassifications

To calculate feature importance

To preprocess the dataset

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of using StandardScaler in the practical session?

To perform feature selection

To normalize data for improved performance

To reduce the number of features

To balance the dataset

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which performance metric is calculated as the harmonic mean of precision and recall?

Accuracy

F1-Score

Precision-Recall AUC

ROC AUC

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