I have to use the node "SMOTE" in the cross-validation metanode (I have put it after the X-partitioner and before the classifier, could it be right?). However, I have several errors when my dataset contains integer columns. I have tried putting a column rename before the cross-validation metanode, transforming the integer columns into double, but I got the following error:
The attribute 'Account length' has a different type in the test data (DoubleCell vs. Non-Native [interface org.knime.core.data.BoundedValue, interface org.knime.core.data.IntValue, interface org.knime.core.data.DataValue, interface org.knime.core.data.LongValue, interface org.knime.core.data.DoubleValue, interface org.knime.core.data.ComplexNumberValue, interface org.knime.core.data.FuzzyNumberValue, interface org.knime.core.data.FuzzyIntervalValue])
Could you help me?
By the moment, I'm normalizing the dataset before cross validation, but It's just a temporary solution, as you can see in the attached pictures (the first one is just illustrative, indeed the node outputs are red)