Trained Logistic Classification Function

A Trained Logistic Classification Function is a logistic function that is a trained classification function (produced by a logistic regression system that fits model parameters).

• AKA: Fitted Logistic.
• Context:
  • It can be the output of a Logistic Regression System (solving a logistic regression task).
  • …
• Example(s):
  • [math]\displaystyle{ f(x) = (3.4 + 1.22e^{-5.4x})^{-1} }[/math], given data ...
  • 
• Counter-Example(s):
  • a Trained Nonlinear Function, such as a Trained Polynomial Function.
  • a Trained Linear Classifier.
  • a Trained Linear Function.
  • a Trained Naive Bayes Classifier.
  • a Trained Decision Tree Classifier.
  • a Trained Neural Network.
  • a Trained SVM Classifier.
• See: Linear Regression Function.

---

---