CODEWITHSUNDEEP
machine-learningwekalibsvm
user1454263
user1454263

Reputation: 131

WEKA LibSVM don't work with my dataset

The LibSVM on WEKA isn't loading with my dataset. I am using WEKA and LibSVM. Every time I open my dataset and then try to chose an algorithm, the LibSVM algorithm isn't enabled (the option is gray). But if for instance I load the weather.arff example dataset that comes with the WEKA then the LibSVM algorithm works...

I don't know if there is anything wrong with my dataset. Are there any limitations that I should be aware of when dealing with LibSVM? For instance, number of attributes, etc.

The strange thing is that when I run my dataset with the SMO algorith that comes with WEKA it works without any problem.

In my dataset I have 76 attributes and my class attribute has 100 possible values.

Am I doing anything wrong? Thanks, very appreciated.

Upvotes: 2

Views: 1321

Answers (1)

Sicco
Sicco

Reputation: 6271

Your dataset doesn't match input format required by LibSVM. The capabilities are as follows:

CAPABILITIES
Class -- Nominal class, Missing class values, Binary class

Attributes -- Empty nominal attributes, Nominal attributes, Unary attributes, Binary attributes, Date attributes, Numeric attributes

Additional
min # of instances: 1

So the class in your .arff file should be either nominal or binary (allowed to miss some values) and your attributes should be nominal, unary or binary (allowed to be empty).

Upvotes: 2

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