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3 cards from this section. Quick, good the night before a test.
What type of outcome does logistic regression deal with?
Think about how answers can be only two alternatives.
Define the sigmoid function.
Can you remember how it looks mathematically?
What does the sigmoid function output?
Remember its purpose in logistic regression.
True or False: Logistic regression is used for multi-class classification.
Think about the definition of logistics and its category handling.
Consider a dataset with 1000 observations where 800 are positive and 200 are negative. A logistic regression model's confusion matrix is TP = 760, FN = 40, TN = 150 and FP = 50. Calculate the accuracy.
Use the definition of accuracy based on true positives and true negatives.
Given a logistic regression model output of 0.65 for a sample, if the threshold is set at 0.7, what will the classification be?
Think about how classifications depend on the threshold.
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