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6 changes: 3 additions & 3 deletions machine_learning/xgboost_regressor.py
Original file line number Diff line number Diff line change
Expand Up @@ -25,7 +25,7 @@ def xgboost(
... 907. , 2.45799458, 40.58 , -124.26]]),np.array([1.114]),
... np.array([[1.97840000e+00, 3.70000000e+01, 4.98858447e+00, 1.03881279e+00,
... 1.14300000e+03, 2.60958904e+00, 3.67800000e+01, -1.19780000e+02]]))
array([[1.1139996]], dtype=float32)
array([[1.114]], dtype=float32)
"""
xgb = XGBRegressor(verbosity=0, random_state=42)
xgb.fit(features, target)
Expand All @@ -38,8 +38,8 @@ def xgboost(
def main() -> None:
"""
>>> main()
Mean Absolute Error : 0.30957163379906033
Mean Square Error : 0.22611560196662744
Mean Absolute Error : 0.3089678116585885
Mean Square Error : 0.21783275170643127

The URL for this algorithm
https://xgboost.readthedocs.io/en/stable/
Expand Down