DOC Fix typos in visualization tools docstrings (scikit-learn#31351)

Author: lucyleeow

sklearn/metrics/_plot/confusion_matrix.py

@@ -15,7 +15,7 @@
 class ConfusionMatrixDisplay:
     """Confusion Matrix visualization.
 
-    It is recommend to use
+    It is recommended to use
     :func:`~sklearn.metrics.ConfusionMatrixDisplay.from_estimator` or
     :func:`~sklearn.metrics.ConfusionMatrixDisplay.from_predictions` to
     create a :class:`ConfusionMatrixDisplay`. All parameters are stored as

sklearn/metrics/_plot/det_curve.py

@@ -11,7 +11,7 @@
 class DetCurveDisplay(_BinaryClassifierCurveDisplayMixin):
     """Detection Error Tradeoff (DET) curve visualization.
 
-    It is recommend to use :func:`~sklearn.metrics.DetCurveDisplay.from_estimator`
+    It is recommended to use :func:`~sklearn.metrics.DetCurveDisplay.from_estimator`
     or :func:`~sklearn.metrics.DetCurveDisplay.from_predictions` to create a
     visualizer. All parameters are stored as attributes.
 

sklearn/metrics/_plot/precision_recall_curve.py

@@ -14,7 +14,7 @@
 class PrecisionRecallDisplay(_BinaryClassifierCurveDisplayMixin):
     """Precision Recall visualization.
 
-    It is recommend to use
+    It is recommended to use
     :func:`~sklearn.metrics.PrecisionRecallDisplay.from_estimator` or
     :func:`~sklearn.metrics.PrecisionRecallDisplay.from_predictions` to create
     a :class:`~sklearn.metrics.PrecisionRecallDisplay`. All parameters are

sklearn/metrics/_plot/roc_curve.py

@@ -14,7 +14,7 @@
 class RocCurveDisplay(_BinaryClassifierCurveDisplayMixin):
     """ROC Curve visualization.
 
-    It is recommend to use
+    It is recommended to use
     :func:`~sklearn.metrics.RocCurveDisplay.from_estimator` or
     :func:`~sklearn.metrics.RocCurveDisplay.from_predictions` to create
     a :class:`~sklearn.metrics.RocCurveDisplay`. All parameters are