Classification Model

• takes an input vector 𝑥∊ℝ^𝑛 as input and predicts the value of a nominal 𝑦∊ℝ as output

Binomial Logistic (Logit) Regression

• models binary variables
• uses the cumulative distribution function of the logistic (sigmoid) distribution

Classification Model

• models binary variables
• the cumulative distribution function of the standard normal distribution

Multinomial Logistic Regression

• models categorical variables with more than 2 levels

Ordinal Logistic Regression

• models ordinal or rank variables