MDFT Academy Quizzes

What does this calibration curve mean?

You have built a binary classification model to predict if a tree in a forest is sick or healthy. A prediction with an output value of 1.0 means that the model is 100% confident that a tree is healthy.

You calculate the calibration curve of your tree prediction model. The curve is a straight line, indicating that the mean prediction is always identical to the observed fraction.

What does this say about the model bias?

Choose the correct answer from the options below.

I'm sorry, your answer is not correct.

It means the model predictions are heavily biased is incorrect. Our calibration curve is a straight diagonal line which means the model predictions are not biased.
It means the model predictions are biased only 50% of the time is incorrect. Our calibration curve is a straight diagonal line which means the model predictions are not biased.
It means the model predictions are not biased is correct
The calibration curve is not related to the model bias is incorrect. The calibration curve is a metric that measures the bias of model predictions.

4. Binary Classification

What does this calibration curve mean?