Unit 7 - Model Evaluation

Unit 7 - Model Evaluation

10 Qs

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Unit 7 - Model Evaluation

Unit 7 - Model Evaluation

Assessment

Quiz

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Practice Problem

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Created by

Arsanchai Sukkuea

Used 2+ times

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the validation set in evaluating a CNN model?

To test the model's performance on data it has never seen during training
To calculate the final accuracy of the model
To fine-tune the model's hyperparameters
To calculate the training loss

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which evaluation metric is commonly used for binary classification problems when assessing a CNN's performance?

Mean Absolute Error (MAE)
F1 Score
Mean Squared Error (MSE)
R-squared (R2)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In CNN image classification, what does the term "confusion matrix" represent?

A matrix that visually confuses the model
A matrix that measures the similarity between input and output images
A matrix that summarizes the true positive, true negative, false positive, and false negative predictions
A matrix that represents the confusion between training and validation datasets

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of k-fold cross-validation when evaluating a CNN model's performance?

To fine-tune the model's architecture
To validate the model on k different datasets
To obtain multiple performance estimates by dividing the data into k subsets
To compare different types of neural networks

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When assessing the generalization of a CNN model, what is "overfitting"?

The model's inability to learn from the training data
The model's underfitting of the validation data
The model's good generalization to new data
The model's fitting the training data too closely, leading to poor performance on new data

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which metric is commonly used to assess the overall performance of a multiclass CNN classification model?

Precision
Recall
F1 Score
Mean Absolute Error (MAE)

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When evaluating the performance of a CNN model for object detection, which metric measures the accuracy of localizing objects within an image?

Classification Accuracy
Intersection over Union (IoU)
Precision
Recall

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