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CT-AI · Question #2

Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG…

The correct answer is D. The number of classes. Factors Affecting ML Functional Performance: The data pipeline, quality of the labeling, and biased data are all factors that significantly affect the performance of machine learning models. The number of classes, while relevant for the model structure, is not a direct factor…

Performance

Question

Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level. Which ONE of the following factors is NOT a factor affecting the ML functional performance?

Options

  • AThe data pipeline
  • BThe quality of the labeling
  • CBiased data
  • DThe number of classes

How the community answered

(24 responses)
  • A
    4% (1)
  • B
    4% (1)
  • C
    13% (3)
  • D
    79% (19)

Explanation

Factors Affecting ML Functional Performance: The data pipeline, quality of the labeling, and biased data are all factors that significantly affect the performance of machine learning models. The number of classes, while relevant for the model structure, is not a direct factor affecting the performance metrics such as accuracy or bias.

Topics

#ML performance#data pipeline#data labeling#biased data

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