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Merged
merged 2 commits into from
Oct 17, 2025
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[pull] master from TheAlgorithms:master #166

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8edc478
Adding missing return type to pi_estimator function (#13427)
GitandTonic Oct 17, 2025
c79034c
Update logical issue in decision_tree.py (#13303)
HarshPathak310 Oct 17, 2025
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Update logical issue in decision_tree.py (TheAlgorithms#13303) 
Co-authored-by: Maxim Smolskiy <mithridatus@mail.ru>
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@HarshPathak310 @MaximSmolskiy
HarshPathak310 and MaximSmolskiy authored Oct 17, 2025
commit c79034ca2114e56ede887a473c2853b8c6d49257
7 changes: 3 additions & 4 deletions machine_learning/decision_tree.py
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Expand Up @@ -146,14 +146,13 @@ def predict(self, x):
"""
if self.prediction is not None:
return self.prediction
elif self.left or self.right is not None:
elif self.left is not None and self.right is not None:
if x >= self.decision_boundary:
return self.right.predict(x)
else:
return self.left.predict(x)
else:
print("Error: Decision tree not yet trained")
return None
raise ValueError("Decision tree not yet trained")


class TestDecisionTree:
Expand Down Expand Up @@ -201,4 +200,4 @@ def main():
main()
import doctest

doctest.testmod(name="mean_squarred_error", verbose=True)
doctest.testmod(name="mean_squared_error", verbose=True)