Python Idle
Five bugs. Five fixes. Can you debug them all? Someone wrote a complete ML pipeline for iris classification — but they made five subtle mistakes that break everything. Wrong column names, forgotten encodings, impossible splits, shape mismatches, and comparison errors. Each bug is a lesson in disguise. Hunt them down.
~20 mindebug quest150 rows
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Goals: 5 tests
should fix all 5 bugs
should achieve accuracy above 0.9
should have a trained model
should have a properly sized test set
should have numeric encoded labels in y_test
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