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Machine Learning MCQs

In supervised machine learning, data scientist often have the challenge of balancing between underfitting or overfitting their data model. They often have to adjust the training set to make better predictions. What is this balance called?

The under/over challenge

Balance between clustering classification

Bias-variance trade-off

The multiclass training set challenge

Answer

Correct Answer: Bias-variance trade-off

Explanation:

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