In rapidminer studio polynomial variable how to#
BUT you can always embed any binominal learner into the ensemble operator "Polynominal by Binominal Classification" which turns the polynominal classification problem into a set of binominal classification problems following either a 1-vs-1 or a 1-vs-all strategy.īelow is a process which shows you how to do that. This operator builds a polynomial classification model using the binomial classification learner provided in its subprocess. They can be binomial (true or false, male or female) or polynomial (cash, credit card, check).
Nominal values are typically strings or categorical values. 3 Answers Sorted by: 6 add this operator to your process, after you load the data: Data Transformation > Type Conversion > Numerical to Polynomial on the operator, select attribute type filter single attribute name of your attribute Share Improve this answer Follow answered at 19:39 Neil McGuigan 45. Nominal, Numerical, and Date-Time Values. Logistic regression can only do binominal classification (i.e. As I’ve discussed in my previous Data Prep posts, in RapidMiner there are really two main data types: Nominal and Numeric. Data Preparation using RapidMiner Studio - YouTube This video shows: (1) a simple way to handle missing values, (2) how to create a subset of columns, and (3) how to create a subset of rows. but Rapidminer thinks that the column is still polynomial so I cannot run logistic regression using the column as dependent variable.
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