Method and system for testing a classification machine learning (ml) model of a tenant of a service provider, in a cloud-based environment

Abstract

A computerized-method for testing a classification ML model of a tenant of a service provider, in a cloud-based environment. The computerized-method includes: (i) receiving an object of a classification ML model for testing from the tenant; (ii) executing an API with the received object of the classification ML model; (iii) identifying one or more tenants of the service provider based on an activity type and preconfigured characteristics by the executed API; (iv) performing an evaluation of the object of the classification ML model by operating the API on each retrieved dataset of the one or more tenants of the service provider to evaluate the object of the classification ML model and store score-results; and (v) calculating an average of the stored score-results to yield a performance-score of the classification ML model. When the performance-score is above a predefined performance-score deploying the classification ML model in a system of the tenant.