Merge pull request #1983 from m-ahmadi:patch-1

PiperOrigin-RevId: 414828302

Author: copybara-github

site/en/tutorials/structured_data/imbalanced_data.ipynb

@@ -428,7 +428,7 @@
         "*   **AUC** refers to the Area Under the Curve of a Receiver Operating Characteristic curve (ROC-AUC). This metric is equal to the probability that a classifier will rank a random positive sample higher than a random negative sample.\n",
         "*   **AUPRC** refers to Area Under the Curve of the Precision-Recall Curve. This metric computes precision-recall pairs for different probability thresholds. \n",
         "\n",
-        "Note: Accuracy is not a helpful metric for this task. You can 99.8%+ accuracy on this task by predicting False all the time.  \n",
+        "Note: Accuracy is not a helpful metric for this task. You can have 99.8%+ accuracy on this task by predicting False all the time.  \n",
         "\n",
         "Read more:\n",
         "*  [True vs. False and Positive vs. Negative](https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative)\n",