1. A computing device comprising a processor and a memory configured to automatically suspend and schedule cancellation of fraudrisk transactions by executing a software application on a processor of the computing device to provide operations comprising: receiving, from a database, a first dataset indicating a quantity of fraud-transactions, the first set of data generated at least in part by a fraud-score model; receiving, from the database, a second dataset indicating a quantity of false positive fraud-transactions from the fraud-transactions; transforming, by the processor, the first dataset and the second dataset into a fraud error rate; comparing the fraud error rate with a predefined error rate; generating, by the processor, in response to the error rate exceeding the predefined error rate, a new fraud-score model by: constructing an initial modeling dataset of transactions, each having at least one transaction attribute, received from the database; generating at least one bin from the initial modeling dataset to group at least a subset of the transactions having common transaction attributes; and generating a modeling dataset based on the at least one bin and a statistical correlation to fraud-transactions; determining a fraud cancellation model that includes the fraud-score model and a fraud-score cancel-threshold in response to a review of the new fraud-score model evaluated using pre-existing transaction data; and using the new fraud cancellation model to evaluate a set of transactions and determine whether each of the transactions is a fraud-transaction.