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Created mlp_activation_comparison.py #12918

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@Karthikn-VR Karthikn-VR commented Aug 22, 2025

Added a new script: mlp_activation_comparison.py

This script demonstrates the effect of different activation functions (relu, tanh, logistic) on a simple dataset using scikit-learn's MLPClassifier.
It helps visualize and understand how activation choices influence model performance.


Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Add or change doctests?
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, I will open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues, the description above includes the issue number(s) with a closing keyword (e.g., Fixes #ISSUE-NUMBER).

Added a new script (mlp_activation_comparison.py) that demonstrates the effect of different activation functions ('relu', 'tanh', 'logistic') on a simple dataset using scikit-learn's MLPClassifier. This helps visualize and understand how activation choices influence model performance.
@algorithms-keeper algorithms-keeper bot added require tests Tests [doctest/unittest/pytest] are required require type hints https://docs.python.org/3/library/typing.html labels Aug 22, 2025
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Click here to look at the relevant links ⬇️

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# Compare different activation functions in MLPClassifier
def compare_activations():
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Please provide return type hint for the function: compare_activations. If the function does not return a value, please provide the type hint as: def function() -> None:

As there is no test file in this pull request nor any test function or class in the file machine_learning/mlp_activation_comparison.py, please provide doctest for the function compare_activations

# Compare different activation functions in MLPClassifier
def compare_activations():
X, y = make_moons(n_samples=200, noise=0.25, random_state=3)
X_train, X_test, y_train, y_test = train_test_split(
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Variable and function names should follow the snake_case naming convention. Please update the following name accordingly: X_train

Variable and function names should follow the snake_case naming convention. Please update the following name accordingly: X_test

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