Issue with Input[39]

[binodmainali]

The example provided in input[39] gives the following output

Opposed to what is displayed in the book for LogisticRegression, I am new to the course and the boundary which separates class 0 and 1, the slope of the line seems to be inverted
Output from the book

[amueller]

Thank you for the issue. Which version of sklearn are you using?
Can you please give the output of sklearn.show_versions()?

[binodmainali]

sklearn.show_versions()

System:
python: 3.7.5 (default, Oct 25 2019, 10:52:18) [Clang 4.0.1 (tags/RELEASE_401/final)]
executable: /Users/binod/.conda/envs/machine/bin/python
machine: Darwin-18.7.0-x86_64-i386-64bit

Python dependencies:
pip: 19.3.1
setuptools: 42.0.2.post20191203
sklearn: 0.22
numpy: 1.17.4
scipy: 1.4.0
Cython: None
pandas: 0.25.3
matplotlib: 2.2.4
joblib: 0.14.1

Built with OpenMP: True

Python version 3.7.5

[amueller]

Ok so the issue is that the solver in scikit-learn changed from liblinear to lbfgs. However, the new solver is more accurate. If the data was scaled, the two solvers would give similar results. I think the best thing to do would probably be to scale the data and make this less sensitive to the solver choices for now.