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There's a classification button, which is set to classification by default. However, that makes it easy to train a classification model when you really want a regression model. If the response is real-valued and you try to do classification, it currently just breaks wave (e.g. wine quality data using "alcohol" as response). So we need a better error.
Another issue is when you have an integer valued column as the response which should be numeric/regression (e.g. wine quality using "quality" as response), it will still train a classification model when asked to. You don't realize that until after you read the column headers in the leaderboard.
The text was updated successfully, but these errors were encountered:
There's a classification button, which is set to classification by default. However, that makes it easy to train a classification model when you really want a regression model. If the response is real-valued and you try to do classification, it currently just breaks wave (e.g. wine quality data using "alcohol" as response). So we need a better error.
Another issue is when you have an integer valued column as the response which should be numeric/regression (e.g. wine quality using "quality" as response), it will still train a classification model when asked to. You don't realize that until after you read the column headers in the leaderboard.
The text was updated successfully, but these errors were encountered: