The algorithms find weights of discrete attributes basing on very simple association rules involving only one attribute in condition part.
a symbolic description of a model
data to process
The algorithm uses OneR classifier to find out the attributes' weights. For each attribute it creates a simple rule based only on that attribute and then calculates its error rate.
a data.frame containing the worth of attributes in the first column and their names as row names
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