Prepare the data set and run the $05\_$Regression$\_5\mathrm{.}2\_$LogReg$\_2$attr$\_$cred$\_$scoring RapidMiner process. Examine the resulting confusion matrix in the Results view and notice that class recall performance of the model is $71\mathrm{.}43\%($positive class: Y$).$

Modify the $05\_$Regression$\_5\mathrm{.}2\_$LogReg$\_2$attr$\_$cred$\_$scoring RapidMiner process and its operators to increase the class recall performance to $80\%.$

Take screenshots of the results of your work.

Explain your work, interpret your results, and reflect on your experience:

Explain how you prepared the data set and how you modified the RapidMiner process to increase the class recall performance to $80\%.$

Interpret the results of your prediction model $($the recall performance metrics and the reason for wanting to increase it$).$

Reflect on your experience with this task and lessons learned.