Hello everyone,

Im new in Knime and Im having many troubles when applying the decision tree and a linear regression.

To be concrete, I have two problems:

1)I am loading the CSV containing data about sales in the US of different products and running it through the linear regression learner. This last step works, but as long as I then connect it to the regression predictor, it says that there are no values under the column names.

Apparently, the linear regression learner spits out other column names, causing the regression predictor not to recognize the original columns in the CSV Reader. What can I do to be able to apply the Regression Predictor?

- After cleaning the data until the partitioning step everything is alright, but then when using the decision tree learner is does not show me the option to take â€śsalesâ€ť as the target variable but just the discrete values. What am I doing wrong?

Clean_Data.csv (1.6 MB)

Techlab.knwf (91.5 KB)