Data used for an object detection ML system was found to have been labelled incorrectly in many cases. Which ONE of the following options is most likely the reason for this problem?

The correct answer is B. Accuracy issues. Accuracy Issues: The primary goal of labeling data in machine learning is to ensure that the model can accurately learn and make predictions based on the given labels. Incorrectly labeled data directly impacts the model's accuracy, leading to poor performance because the model…

Machine Learning (ML)

Question

Options

ASecurity issues
BAccuracy issues
CPrivacy issues
DBias issues

How the community answered

(51 responses)

A
4% (2)
B
78% (40)
C
12% (6)
D
6% (3)

Explanation

Accuracy Issues: The primary goal of labeling data in machine learning is to ensure that the model can accurately learn and make predictions based on the given labels. Incorrectly labeled data directly impacts the model's accuracy, leading to poor performance because the model learns incorrect patterns.

Topics

#data labeling#data quality#accuracy#annotation errors

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