  AI REVISION

Quiz by mohd mirza

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Correct quiz answers unlock more play!  36 questions
• Q1
What is the purpose of evaluation in the AI project cycle?
To assess the performance and impact of the AI system.
To generate ideas for the AI system.
To determine the hardware requirements of the AI system.
To design the user interface of the AI system.
30s
• Q2
What is the main purpose of evaluating data in the AI project cycle?
To evaluate the performance of the AI system.
To ensure the quality and suitability of the data for training the AI model.
To determine the cost of the AI project.
To design the user interface of the AI system.
To select the programming language for the AI project.
30s
• Q3
What does F1 Score measure in AI?
The amount of data processed by AI.
The accuracy of AI models.
The complexity of AI architectures.
The speed of AI algorithms.
The balance between precision and recall.
30s
• Q4
Which value can the F1 Score range from?
0 to 1
0 to infinity
-1 to 1
1 to 10
0 to 100
30s
• Q5
How is the F1 Score calculated in AI?
2 * (recall - precision) / (precision + recall)
precision * recall
(precision - recall) / (precision + recall)
(precision + recall) / 2
2 * (precision * recall) / (precision + recall)
30s
• Q6
What is the formula for calculating Precision in AI?
True Positives / (True Positives + False Positives)
True Negatives / (True Negatives + False Negatives)
False Negatives / (False Negatives + True Negatives)
False Positives / (False Positives + True Positives)
True Positives / (True Positives + False Negatives)
30s
• Q7
In AI, what does the F1 Score consider?
Recall and specificity.
Both precision and recall.
Precision and error rate.
Sensitivity and specificity.
Accuracy and recall.
30s
• Q8
What is Precision in evaluation metrics?
A measure of the accuracy of both positive and negative predictions.
A measure of the accuracy of negative predictions.
A measure of the total number of predictions made.
A measure of the accuracy of positive predictions.
30s
• Q9
What is Accuracy in evaluation metrics?
The proportion of correctly classified instances.
The ratio of true negative predictions to the sum of true negative and false negative predictions.
The proportion of incorrectly classified instances.
The ratio of true positive predictions to the sum of true positive and false positive predictions.
30s
• Q10
What is the purpose of the testing phase in an AI project cycle?
To collect data for training the AI model.
To deploy the AI model into production.
To design the user interface of the AI application.
To evaluate the performance and accuracy of the AI model.
30s
• Q11
What does the 'W' stand for in the 4W CANVAS framework?
Who
When
What
Where
30s
• Q12
What does the 'Why' element represent in the 4W Canvas in AI?
Timeframe
Context or Environment
Parties Involved
Purpose or Objective
30s
• Q13
What does the 'Who' element represent in the 4W Canvas in AI?
Timeframe
Purpose or Objective
Context or Environment
Parties Involved
30s
• Q14
What does the 'When' element represent in the 4W Canvas in AI?
Timeframe
Purpose or Objective
Parties Involved
Context or Environment
30s
• Q15
What does the 'Canvas' refer to in the 4W Canvas in AI?
Machine Learning Model
Programming Language
Visualization Tool
Framework or Template
30s

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