Practice problems on Logistic Regression

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#1

Can we use the function “1 / (1 + x^(-1))” to build a binary classifier like we used Logistic in Logistic Regression?
Explain why or why not?

#2

What is Logistic Regression?

And since it is a classifier, why do we call this model “Regression”?

#3

Choose the correct option:
What does the decision boundary of a Logistic Regression based model look like:
1. For 2D data, a line.
2. For 2D data, a curve.