Practical Data Science using Python - Logistic Regression - Model Optimization 2
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Information Technology (IT), Architecture
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University
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Practice Problem
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Hard
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10 questions
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the optimum probability threshold mentioned in the text?
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2.
OPEN ENDED QUESTION
3 mins • 1 pt
How does changing the probability threshold from 0.5 to 0.3 affect the accuracy score?
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3.
OPEN ENDED QUESTION
3 mins • 1 pt
What are the recalculated values for sensitivity and specificity after adjusting the threshold?
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4.
OPEN ENDED QUESTION
3 mins • 1 pt
Explain the difference between precision and recall as described in the text.
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5.
OPEN ENDED QUESTION
3 mins • 1 pt
What is the significance of the precision-recall curve in model evaluation?
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6.
OPEN ENDED QUESTION
3 mins • 1 pt
What dilemma is presented regarding the choice of probability threshold?
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7.
OPEN ENDED QUESTION
3 mins • 1 pt
How does the class imbalance in the dataset affect the choice between ROC and precision-recall curves?
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