DS #6 Data Preprocessing with Orange Tool

Python script
Discretization
  • binary variables are transformed into 0.0/1.0 or -1.0/1.0 indicator variables, depending upon the argument zero_based.
  • multinomial variables are treated according to the argument multinomial_treatment .
  • discrete attribute with only one possible value are removed.
Continuize_Indicators
Normalization
Randomization

Conclusion

I hope now you can work by yourself in the orange tool. I tried to cover as many things as I can. Now you can explore more by yourself.

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