Quizzes: logistic regression

What is logistic regression used for?
a) Predicting continuous values
b) Predicting binary outcomes
c) Clustering data points
d) Reducing dimensionality

What type of function is used in logistic regression to model the probability of a binary outcome?
a) Linear function
b) Exponential function
c) Logistic function (sigmoid function)
d) Polynomial function

In logistic regression, what range of values does the sigmoid function output?
a) 0 to 1
b) -1 to 1
c) -? to ?
d) 0 to ?

What is the primary objective of the logistic regression model?
a) Minimize the sum of squared errors
b) Maximize the likelihood of observing the given data
c) Minimize the variance
d) Maximize the number of features

Intermediate Questions

Which of the following metrics can be used to evaluate a logistic regression model?
a) Mean Absolute Error (MAE)
b) Root Mean Square Error (RMSE)
c) Accuracy, Precision, Recall
d) R-squared

What does the logit function in logistic regression represent?
a) The probability of the positive class
b) The natural logarithm of the odds of the positive class
c) The exponential of the input features
d) The linear combination of input features

Advanced Questions

Which of the following regularization techniques can be applied to logistic regression to prevent overfitting?
a) L1 (Lasso)
b) L2 (Ridge)
c) Both L1 and L2 (Elastic Net)
d) All of the above

What is the interpretation of the coefficient in a logistic regression model?
a) The change in the log-odds of the outcome for a one-unit increase in
b) The change in the probability of the outcome for a one-unit increase in
c) The change in the outcome for a one-unit increase in
d) The change in the error for a one-unit increase in