ValueError: Classification metrics can't handle a mix of binary and continuous targets

This error occurs when the target variable (y) contains a mix of binary (0/1) and continuous (numeric) values, and the classification metrics being used are not designed to handle this type of data.

To fix this error, you can try the following:

1. Check the data type of your target variable: Ensure that your target variable is of the correct data type (binary or continuous) and that it matches the type of metrics you are using.

2. Convert continuous target variable to binary: If your target variable is continuous, you can convert it to binary by setting a threshold value and classifying values above the threshold as 1 and values below as 0.

3. Use appropriate classification metrics: If your target variable is a mix of binary and continuous values, use classification metrics that are designed to handle this type of data, such as mean squared error (MSE) or root mean squared error (RMSE).

4. Separate binary and continuous target variables: If possible, separate the binary and continuous target variables and use appropriate metrics for each variable.