Develop logistic regression models with 60%/40%, 70%/30%, and 80%/20% partitioning into training and testing data sets using set.seed(222). Summarize training and testing accuracy, sensitivity and specificity for each and compare with 50%/50% performance using the table below. Recommend and comment on the best model for future use.

Partitioning	Accuracy %	Sensitivity %	Specificity %
Training - 50%
Testing 50%
Training - 60%
Testing 40%
Training - 70%
Testing 30%
Training - 80%
Testing 20%