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What is Logistic Regression best used for?
Which function does Logistic Regression use to link input variables to the probability of the target outcome?
What does the output of a Logistic Regression model represent?
Why can’t we use Linear Regression for binary classification problems?
In Logistic Regression, what do the coefficients represent?
Which of the following metrics is NOT directly applicable for evaluating a Logistic Regression model?
Logistic Regression assumes a linear relationship between:
What does a sigmoid curve range between?
Maximum Likelihood Estimation in Logistic Regression is used to:
What role does the threshold value play in Logistic Regression?
Logistic Regression is particularly effective for:
The ‘log odds’ in Logistic Regression refer to:
What is the primary reason Logistic Regression does not predict numerical values like Linear Regression?
Adjusting the threshold value in a Logistic Regression model affects:
Which metric in the classification report of a Logistic Regression model tells you the proportion of positive identifications that were actually correct?
A high recall score in your Logistic Regression model indicates:
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