Abstract: A method that includes (a) receiving a training dataset, a testing dataset, a number of iterations, and a parameter space of possible parameter values that define a base model, (b) for the number of iterations, performing a parametric search process that produces a report that includes information concerning a plurality of machine learning models, where the parametric search process includes (i) generating a Bayesian optimized parameter space with an option to validate through Stratified Kfold cross validation, where an optimized parameter set includes training data from the training dataset, and testing data from the testing dataset, (ii) running the base model with the final optimized parameter set, thus yielding model results for the plurality of machine learning models, (iii) calculating Kolmogorov-Smirnov (KS) statistics for the model results, and (iv) saving the model results and the KS statistics to the report, and (c) sending the report to a user device.

Abstract: A method and system for determining an entity's future commercial viability which comprises: (a) using a first predictive modeling, determining a future commercial viability of the entity, the first predictive modeling is derived by identifying patterns in data and relating to predictive attributes, thereby generating a viability score; (b) using predictive modeling to generate a relative ranking of the entity against its peer group, thereby generating a comparative viability score (i.e.

Abstract: There is provided a method that includes employing a computer to perform operations of (a) receiving, from a data source, by way of an electronic communication, a descriptor of a business, (b) matching said descriptor to data in a database, thus yielding a match, wherein said data includes a unique identifier of said business, (c) saving to a log, a signal that includes said unique identifier, (d) counting a quantity of signals that include said unique identifier in said log, thus yielding a number of said signals for said unique identifier, and (e) calculating a credit score for said business, based on said number of signals. There is also provided a system that performs the method, and a storage device that controls a processor to perform the method.