Comments (2)
You can see it. Could you explain to me what is wrong?
You should show me your Python code instead.
It seems to be the case that you're trying to build a classification-type neural network model for the Wine Quality dataset. However, the target column - "quality" - is a continuous variable (double in range from 3 to 8), not a categorical variable (string one of "3", "4", "5", "6", "7", "8"). So, you should be approaching it as a regression problem, not as a classification problem.
In other words, replace sklearn.MLPClassifier
with sklearn.MLPRegressor
, and re-run the experiment
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Hi vruusmann,
I try what you told me to do ... But it seems to be have another problem. Does it possible to let me an adress where I could put my code ?
Thanks to you !
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Related Issues (20)
- Revert PMML file to Python source code HOT 1
- Error when using `TargetEncoder` within `DataFrameMapper` within pipeline HOT 6
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