arulesCBA_1.2.1

arulesCBA 1.2.1 (2021-11-20)

• mineCARs now uses by default minimum LHS-support (via parameter originalSupport = FALSE).
• the CBA_ruleset function is now used consistently as the constructor for CBA objects.
• added transactionCoverage.
• added uncoveredClassExamples.
• added uncoveredMajorityClass.
• added transactions2DF to convert transactions to a data.frame.
• RCAR is now faster (does not run glmnet again for the chosen lambda) and returns the whole regularization path.
• prepareTransactions now automatically add a negative class item if needed.
• moved the experimental algorithms wCBA and bCBA to Work.
• R/Weka-based classifiers have now a default class.

arulesCBA_1.2.0

• Version 1.2.0 has a major interface cleanup. This might require some change in existing code.
• The classifiers now use as the default a min. confidence of .5 and maxlen of 5 (max. rule length).
• CBA now includes a default rule in the rule base.
• added prepareTransactions to dicretize and convert a data.frame into transactions.
• added new function response to convert class items to class labels (factors).
• added new function majorityClass.
• added FOIL.
• added RIPPER C4.5, and PART (via RWeka).
• added PRM, CPAR and CMAR (via LUCS-KDD Software Library).
• added datasets Mushroom and Lymphography.