Machine Learning & Logistic Regression Quiz

A visually appealing illustration representing machine learning, statistics, and logistic regression concepts, featuring elements like graphs, equations, and abstract representations of data.

Machine Learning & Logistic Regression Quiz

Test your knowledge in machine learning and logistic regression with our engaging quiz! Designed for enthusiasts and professionals alike, this quiz will help reinforce your understanding of key concepts and techniques in the field.

Participate to:

Challenge yourself with 10 thought-provoking questions.
Learn about classification algorithms and model building.
Evaluate your grasp of statistical assumptions.

10 Questions2 MinutesCreated by LearningCode101

Machine Learning Classification Algorithm use to predict the probability of categorical dependent variables

Logistic

Simple

Multiple

Ridge and Lasso

Uses small amount of bias to reduce variance

Ridge

Lasso

Simple

Multiple

Assumptions of Logistic Regression (check if applicable)

Little to No Multicollinearity

Requires Large Sample Sizes

Independence of Errors

Factor Level 1 of Dependent Variable should represent the desired outcome

Independent Variable are Linearly related to log odds

Assumes residuals to be normally distributed

Linearity

Multivariate Normality

Lack of Multicollinearity

Homoscedasticity

0 correlation means no correlation

True

False

Categorical Independent Data is also called Indicator Value

True

False

Types of Logistics Regressions

Overfitting is when the model performs well on test but fails on training

True

False

What is used to prevent overfitting

Regularization

Normalization

Bias

Covariance

Machine Learning & Logistic Regression Quiz

Machine Learning & Logistic Regression Quiz

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