二元逻辑回归的数据集生成

Question

I have classifier line in the form of y = mx + c .

I would to generate random data points that are above and below this line.

I tried using the numpy random function but I am not able figure how to specifically generate random data sets.

Answer 1

You could try scikit-learn's make_classification utility function:

Generate a random n-class classification problem.

For example:

from sklearn.datasets import make_classification

X, y = make_classification(n_features=2, random_state=444)