DOC fix items in docstring of zero_division (#30175)

scikit-learn · Oct 29, 2024 · 49c5948 · 49c5948
1 parent 221b209
commit 49c5948
Showing 1 changed file with 8 additions and 3 deletions.
diff --git a/sklearn/metrics/_classification.py b/sklearn/metrics/_classification.py
@@ -1510,6 +1510,7 @@ def fbeta_score(
         predictions and labels are negative.
 
         Notes:
+
         - If set to "warn", this acts like 0, but a warning is also raised.
         - If set to `np.nan`, such values will be excluded from the average.
 
@@ -1799,11 +1800,13 @@ def precision_recall_fscore_support(
 
     zero_division : {"warn", 0.0, 1.0, np.nan}, default="warn"
         Sets the value to return when there is a zero division:
-           - recall: when there are no positive labels
-           - precision: when there are no positive predictions
-           - f-score: both
+
+        - recall: when there are no positive labels
+        - precision: when there are no positive predictions
+        - f-score: both
 
         Notes:
+
         - If set to "warn", this acts like 0, but a warning is also raised.
         - If set to `np.nan`, such values will be excluded from the average.
 
@@ -2228,6 +2231,7 @@ def precision_score(
         Sets the value to return when there is a zero division.
 
         Notes:
+
         - If set to "warn", this acts like 0, but a warning is also raised.
         - If set to `np.nan`, such values will be excluded from the average.
 
@@ -2407,6 +2411,7 @@ def recall_score(
         Sets the value to return when there is a zero division.
 
         Notes:
+
         - If set to "warn", this acts like 0, but a warning is also raised.
         - If set to `np.nan`, such values will be excluded from the average.