1. A machine learning based procurement system comprising: at least one machine learning classifier; at least one memory to store machine readable instructions; and at least one processor, connected to the memory, to execute the machine readable instructions to: generate a procurement request, the procurement request to solicit bids for providing at least one item; determine an item risk score for the procurement request based on a classification performed by the at least one machine learning classifier; display the item risk score in a graphical user interface; determine whether the at least one item is a high-risk item based on the item risk score; in response to determining the at least one item is high risk, generate a link in the graphical user interface, the link to provide access to at least one metric explaining the high-risk of the at least one item; generate a solicitation from the procurement request; receive bids to provide the at least one item in response to the solicitation; evaluate the bids based on classifications performed by the at least one machine learning classifier, where to evaluate the bids: the at least one machine learning classifier is to classify the bids as being associated with at least one of a high-risk supplier and a high-risk price; and the at least one processor is to: determine a price risk score and a supplier risk score for each of the bids based on the classifications; compare, for each bid, the price risk score and the supplier risk score to a respective threshold; determine if any of the received bids are associated with a high-risk procurement based on the comparing of the price risk score and the supplier risk score to the respective threshold; and in response to determining a bid is associated with a high-risk procurement, generate a bid evaluation link in the graphical user interface, the bid evaluation link providing access to information explaining the high-risk procurement.