title: How to evaluate generated association rules from training dataset against testing dataset in R by finding precision and recall?
body: <p>I'm currently working with <code>associative classification rules</code> in Data mining. I do not get how to generate confusion matrix for a set of multi-label association rules generated from <code>apriori</code> package in R. Suggest me ways to generate confusion matrix for association rules in R or some other evaluation method to evaluate the generated association rules against testing dataset and finding its <code>precision</code> and <code>recall</code>!</p>
  
  <p>Thanks in advance.</p>