◑ applying · kind algorithm · level 3 · 22.17h
- Generaliza: Linear Regression
- Requiere: Gradient Descent
- Implementa: Supervised Learning
A linear model with a sigmoid link for classification, trained by gradient descent. Strong, interpretable, and still a smart first model for many problems.
In Statistics, a logistic model is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. In regression analysis, logistic regression estimates the parameters of a logistic model. In binary logistic regression there is a single binary dependent variable, coded by an indicator variable, where the two values are labeled “0” and “1”, while the independent variables can each be a binary variable or a continuous variable.
Enlaces
- Generaliza: Linear Regression
- Requiere: Gradient Descent
- Implementa: Supervised Learning