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AI REVISION

Quiz by mohd mirza

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36 questions
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  • 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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