👉 IoU (Intersection-over-Union) is a measure that combines precision and recall. It's used for binary classification tasks, particularly in machine learning to compare the performance of two or more classifiers. In simple terms, it calculates the intersection over union between the predicted probabilities of each class and the ground truth probability of that class. This gives you an overall score indicating how well the predictions represent the true labels (positive examples). Here's a basic Python example using scikit-learn: ```python
