Patent Document ID: 9679261
Application ID: 15439183
Patent Flag: 1

Claim One:
1. A machine learning classifier based procurement system comprising: at least one memory to store machine readable instructions; a plurality of machine learning classifiers, where one or more of the plurality of machine learning classifiers comprises: an ensemble classifier comprising a combination, the combination comprising: a machine learning logistic regression function, and at least one of: a decision tree function, a multicollinearity function, and a predictive strength analysis function, where: at least one of the decision tree function, the multicollinearity function, and the predictive strength analysis function are used to determine predictive variables, and the predictive variables are used in a training set and a validation set to generate the ensemble classifier according to the machine learning logistic regression function; and at least one processor, connected to the memory, to execute the machine readable instructions to: generate a solicitation comprised of a procurement request for an item or service; receive bids to provide the item or service; determine a price risk score, a supplier risk score, and an item risk score for each of the bids, where at least one of the price risk score, the supplier risk score, and the item risk score are determined based on classifications performed by the plurality of machine learning classifiers; compare, for each bid, the price risk score, the supplier risk score, and the item risk score to a respective threshold to determine if any of the received bids are associated with a high-risk procurement; and display, on a graphical user interface, the price risk score, the supplier risk score, and the item risk score for a received bid determined to be associated with the high-risk procurement.