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"Replace Missing Values - help!"
Hello everybody,
this is my first post here and I hope I'm just stuck on something trivial.
I'm building a process with a libSVM. My dataset's label attribute (casi_certi) has missing values ("1" and "?"), so I tried using Replace Missing Values to transform it into a binary operator with "1" and "0". There are also other attributes with missing values, and they are all replaced properly - as is the label, if I just connect Replace with the output and run the process and check the results. But if I try and check the dataset at the exa port of Replace, something goes wrong and the label attribute has the right type (Binomial), zero missings, and [1] range instead of [0-1]. This is a problem since libSVM obviously needs at leat two classes/values. I really can't understand what's wrong, so I'm here asking for help - thank you!
this is my first post here and I hope I'm just stuck on something trivial.
I'm building a process with a libSVM. My dataset's label attribute (casi_certi) has missing values ("1" and "?"), so I tried using Replace Missing Values to transform it into a binary operator with "1" and "0". There are also other attributes with missing values, and they are all replaced properly - as is the label, if I just connect Replace with the output and run the process and check the results. But if I try and check the dataset at the exa port of Replace, something goes wrong and the label attribute has the right type (Binomial), zero missings, and [1] range instead of [0-1]. This is a problem since libSVM obviously needs at leat two classes/values. I really can't understand what's wrong, so I'm here asking for help - thank you!
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Scott
Scott