Commit 71b372f

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Remove doctest in xgboost_regressor.py main function (TheAlgorithms#10422)

* updating DIRECTORY.md * updating DIRECTORY.md * updating DIRECTORY.md * updating DIRECTORY.md * Update xgboost_regressor.py --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>

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machine_learning
- xgboost_regressor.py

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`‎machine_learning/xgboost_regressor.py‎`

Lines changed: 6 additions & 6 deletions

Original file line number	Diff line number	Diff line change
`@@ -39,13 +39,13 @@ def xgboost(`
`39`	`39`
`40`	`40`	`def main() -> None:`
`41`	`41`	`"""`
`42`		`- >>> main()`
`43`		`- Mean Absolute Error : 0.30957163379906033`
`44`		`- Mean Square Error : 0.22611560196662744`
`45`		`-`
`46`	`42`	`The URL for this algorithm`
`47`	`43`	`https://xgboost.readthedocs.io/en/stable/`
`48`	`44`	`California house price dataset is used to demonstrate the algorithm.`
	`45`	`+`
	`46`	`+ Expected error values:`
	`47`	`+ Mean Absolute Error: 0.30957163379906033`
	`48`	`+ Mean Square Error: 0.22611560196662744`
`49`	`49`	`"""`
`50`	`50`	`# Load California house price dataset`
`51`	`51`	`california = fetch_california_housing()`
`@@ -55,8 +55,8 @@ def main() -> None:`
`55`	`55`	`)`
`56`	`56`	`predictions = xgboost(x_train, y_train, x_test)`
`57`	`57`	`# Error printing`
`58`		`- print(f"Mean Absolute Error: {mean_absolute_error(y_test, predictions)}")`
`59`		`- print(f"Mean Square Error: {mean_squared_error(y_test, predictions)}")`
	`58`	`+ print(f"Mean Absolute Error: {mean_absolute_error(y_test, predictions)}")`
	`59`	`+ print(f"Mean Square Error: {mean_squared_error(y_test, predictions)}")`
`60`	`60`
`61`	`61`
`62`	`62`	`if __name__ == "__main__":`

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`‎machine_learning/xgboost_regressor.py‎`

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