Gini impurity is about knowing how likely you are to guess wrong at a certain point in a decision tree based on the data you have remaining. Being able to confidently find Gini impurity is important to developing an effective predictive model.

The resource below provides an opportunity to practice finding Gini impurity, and provides feedback to improve your understanding.

Click the orange "START" button to begin the quiz.
For each question, select the option you believe to be correct:
- If you need a reminder of how to find Gini impurity, click the orange "GINI IMPURITY REMINDER" button available below each question.
- If you select an incorrect answer, click "Go Back" in the bottom right to return to the question and try again.
- If you select the correct answer, read the explanation and then click the green arrow in the bottom left corner to continue to the next question.

The image below is interactive. Click on the elements to engage with more content.