Check out example codes for ""ValueError: Solver lbfgs supports only 'l2' or 'none' penalties, got l1 penalty." in machine learning". It will help you in understanding the concepts better.

Code Example 1

from sklearn.linear_model import LogisticRegression
lr = LogisticRegression(penalty='none',solver='saga')
lr.fit(X_train1, y_train1)

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