Skip to main content
deleted 43 characters in body
Source Link

They have both different ways to trainYou mentioned already the weights (all instances at Logistic Regression vsimportant differences. missclassified instances at Perceptron)So the results should not differ that much.

They have both different ways to train the weights (all instances at Logistic Regression vs. missclassified instances at Perceptron).

You mentioned already the important differences. So the results should not differ that much.

Post Undeleted by Michael Dorner
Post Deleted by Michael Dorner
deleted 148 characters in body
Source Link

They have both different ways to train the weights (all instances at Logistic Regression vs. missclassified instances at Perceptron).

Additionally, the result is different: Logistic regression produces a probability estimation, whereas the Perceptron returns a decision boundary.

They have both different ways to train the weights (all instances at Logistic Regression vs. missclassified instances at Perceptron).

Additionally, the result is different: Logistic regression produces a probability estimation, whereas the Perceptron returns a decision boundary.

They have both different ways to train the weights (all instances at Logistic Regression vs. missclassified instances at Perceptron).

Source Link

They have both different ways to train the weights (all instances at Logistic Regression vs. missclassified instances at Perceptron).

Additionally, the result is different: Logistic regression produces a probability estimation, whereas the Perceptron returns a decision boundary.