Closed nicl-nno closed 1 year ago
Can you expand on the issue? Or maybe narrow down to which file or code the problem is?
@curiousHG
This problem occurs for classification tasks when the number of classes is very large and cross-validation fails to preserve the examples for all classes.
The connected problems are for <2 classes in sample and new classes in predict sample.
Duplicate of https://github.com/aimclub/FEDOT/issues/954
The problem "Metric evaluation error: y_true and y_pred contain different number of classes 45, 85" raises for click_prediction_small dataset
Looks like class stratification is failing.