Describes the "reuters grain-train.arff "dataset in weka . In the description include who donated it, the purpose of creation, previous uses in scientific articles, description of attributes.
WEKA is a library of machine learning algorithms to solve data mining problems on real data. WEKA also provides an environment to develop many machine learning algorithms. It has a set of tools for carrying out various data mining tasks such as data classification, data clustering, regression, attribute selection, frequent itemset mining, and so on.
ReutersGrain-train.arff This data set contains 1554 articles, 103 of which are about grain.
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