Given the training data (buying RRSPs),

1. build an associative classifier model by generating all relevant association rules with support and confidence thresholds of 10% and 60% respectively; (Note: in your classifier, include all rules that satisfy the support and confidence condition.)
2. list the rules that apply to the following new example and predict its class: sector = oil industry, income = medium, self-employed = yes, credit-rating = fair, and select the rule with the highest confidence;
3. what would be the classification if the class is selected based on the majority of all rules that apply?

Sector of activity Self-Employed Credit-rating Person ID Class: Buys-RRSP Income farming medium fair 1 no no farming fair low 2 yes no oil industry medium fair no no oil industry low fair yes 4 yes oil industry medium excellent 5 yes yes banking medium excellent yes no oil industry high fair 7 no no oil industry high excellent no no banking high fair yes no farming low excellent 10 yes yes banking low excellent 11 yes yes farming medium fair 12 yes no high banking fair 13 yes yes farming medium excellent 14 no yes Sector of activity Self-Employed Credit-rating Person ID Class: Buys-RRSP Income farming medium fair 1 no no farming fair low 2 yes no oil industry medium fair no no oil industry low fair yes 4 yes oil industry medium excellent 5 yes yes banking medium excellent yes no oil industry high fair 7 no no oil industry high excellent no no banking high fair yes no farming low excellent 10 yes yes banking low excellent 11 yes yes farming medium fair 12 yes no high banking fair 13 yes yes farming medium excellent 14 no yes