Discuss the importance of data : Classification tree in Python: Training

Discuss the importance of data : Classification tree in Python: Training

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What are true positives, true negatives, false positives, and false negatives in the context of a confusion matrix?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps can be taken to improve the accuracy score of a classification model?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the maximum depth parameter in a classification tree?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

How can hyperparameters affect the performance of a classification tree?

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