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Added Random Forest Regressor as an additional prediction model. #12767

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Added Random Forest Regressor as an additional prediction model. #12767

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@priyanshu-8789 priyanshu-8789 commented May 24, 2025 •
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Describe your change:

Implemented RandomForestRegressor alongside SVR and SARIMAX

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
  • 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, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all 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 then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

@algorithms-keeper algorithms-keeper bot added the tests are failing Do not merge until tests pass label May 24, 2025
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Implemented RandomForestRegressor alongside SVR and SARIMAX
It will help to improve robustness and accuracy in data safety checking
Updated the voting mechanism to include Random Forest predictions

@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label May 24, 2025
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Added Random Forest Regressor to main voting

@algorithms-keeper algorithms-keeper bot removed the tests are failing Do not merge until tests pass label May 24, 2025
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priyanshu-8789 commented May 24, 2025 •
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Hi @poyea,
I've added the Random Forest Regressor as an additional prediction model. All checks have passed.
Could you please review and approve this pull request when convenient?
Thank you!

@priyanshu-8789
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Hi @TheAlgorithms,
I've added the Random Forest Regressor as an additional prediction model. All checks have passed.
Could you please review and approve this pull request when convenient?
Thank you!

priyanshu-8789 and others added 3 commits May 25, 2025 19:47
@priyanshu-8789
Update run.py
6c2f7b4 
Used matplotlib to plot actual vs predicted user count, forecast confidence intervals, outlier thresholds from IQR.
Added logging instead of print because in production, print() is not scalable.
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Update run.py
39bc446
@algorithms-keeper algorithms-keeper bot added the tests are failing Do not merge until tests pass label May 25, 2025
@algorithms-keeper algorithms-keeper bot removed the tests are failing Do not merge until tests pass label May 25, 2025
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Hi @TheAlgorithms,
I've added the Random Forest Regressor as an additional prediction model and added matplotlib library for seeing predictions vs actuals which will help non-technical users validate data easily. All checks have passed.
Could you please review and approve this pull request when convenient?
Thank you!

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@mindaugl mindaugl mindaugl approved these changes

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