what algorithm
LDA and linear regression both do not support binominal attributes so that leaves out Logistics Regression and Decision Tree (both giving very different predictions on people's creditworthiness).
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Of those options, logistic regression would likely be the best choice for predicting creditworthiness, assuming it is a binominal outcome. There are of course other algorithms that you could try as well including SVM or GBT.