We solve a linear logistic regression problem using optimization by gradient descent methods
This code trains a logistic regression classifier using batch gradient descent, stochastic gradient descent, and mini-batch gradient descent.
Decision boundary comparison for the random dataset created in the code:
The performance comparison shows that minibatch, in general, happens to have better accuracy and tends to be faster than the other two.
