Added Random Forest Regressor as an additional prediction model.
Describe your change:
Implemented RandomForestRegressor alongside SVR and SARIMAX
- [x] Add an algorithm?
- [x] Fix a bug or typo in an existing algorithm?
- [x] Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
- [x] Documentation change?
Checklist:
- [x] I have read CONTRIBUTING.md.
- [x] This pull request is all my own work -- I have not plagiarized.
- [x] I know that pull requests will not be merged if they fail the automated tests.
- [x] This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
- [x] All new Python files are placed inside an existing directory.
- [x] All filenames are in all lowercase characters with no spaces or dashes.
- [x] All functions and variable names follow Python naming conventions.
- [x] All function parameters and return values are annotated with Python type hints.
- [x] All functions have doctests that pass the automated testing.
- [x] All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
- [x] 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".
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
Added Random Forest Regressor to main voting
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!
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!
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!