Arff files download

Each attribute in the data set has its own attribute statement which uniquely defines the name of that attribute and it's data type. The order the attributes are declared indicates the column position in the data section of the file.

For example, if an attribute is the third one declared then Weka expects that all that attributes values will be found in the third comma delimited column. If spaces are to be included in the name then the entire name must be quoted. The keywords numeric , string and date are case insensitive. String attributes allow us to create attributes containing arbitrary textual values. This is very useful in text-mining applications, as we can create datasets with string attributes, then write Weka Filters to manipulate strings like StringToWordVectorFilter.

The data declaration is a single line denoting the start of the data segment in the file. The format is: data. Each instance is represented on a single line, with carriage returns denoting the end of the instance. Attribute values for each instance are delimited by commas. They must appear in the order that they were declared in the header section i. Missing values are represented by a single question mark, as in: data 4. Dates must be specified in the data section using the string representation specified in the attribute declaration.

Sparse ARFF files have the same header i. Note that the omitted values in a sparse instance are 0 , they are not "missing" values! We use cookies to ensure that we give you the best experience on our website. If you continue to use this site we will assume that you accept and understand our Privacy Policy , and our Terms of Service.

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