multiclass-multioutput is not supported

The error message "multiclass-multioutput is not supported" usually occurs when you are trying to use a machine learning algorithm or model that does not support multi-class multi-output classification.

Multi-class multi-output classification refers to a scenario where the target variable has multiple classes and each class has multiple possible outputs. For example, if you are trying to predict the color and size of a fruit, where the color can be red, green, or yellow and the size can be small, medium, or large, then you have a multi-class multi-output classification problem.

To solve this problem, you can either use a different algorithm or model that supports multi-class multi-output classification, or you can transform your problem into a set of binary classification problems, where each class is treated as a binary output. This can be done using techniques such as one-vs-all or one-vs-one classification.