The scheme I am trying to evaluate is: weka.classifiers.meta.AttributeSelectedClassifier -E \"weka.attributeSelection.CfsSubsetEval \" -S \"weka.attributeSelection.BestFirst -D 1 -N 5\" -W weka.class
I am trying to do the following with weka\'s MultilayerPerceptron: Train with a small subset of the training Instances for a portion of the epo开发者_开发百科chs input,
Where can I find data to con开发者_Python百科struct association rules with Weka? The data could be on any topic.Apart from the example dataset used in the following class, Association Rule Mining with
I am writing a script to do some classification using weka and I get an error when I try to run the classifier. I have converted the file from CSV using weka.core.converters.CSVLoader.
I\'ve just used Weka to train my SVM classifier under \"Classify\" tag. Now I want to further investigate which data samples are mis-classified,I need to study their pattern,but I don\'t know where to
I start using NaiveBayes/Simple classifier for classification (Weka), however I have some problems to understand while training the data. The data set I\'m using is weather.nominal.arff.
I\'m using the Weka Java library to read in a CSV file and convert it to an ARFF file. The problem is that the CSV file doesn\'t have a header row, only data.How do I assign attribute names after I b
strange results come up while using a J48 tree. I need to classify a vector of 48 features, which works very well, but when i tried to \"optimize\", I run into strange results.
I have a java project.The working folder from someone else\'s Eclipse project (It was a Repast Simphony project I think).
I\'m trying to use the java machine learning library MOA to train on a training data stream, then predict classes for a test data stream.The first part works fine, using (for example)
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