Method and system for cleansing training data for predictive models

摘要: Described is an improved approach to implement selection of training data for machine learning, by presenting a designated set specific indicators where these correspond metrics that end users are familiar with and easily understood ordinary DBAs within their knowledge domain. Selection would correlate automatically corresponding other metrics/signals less understandable user. Additional analysis the selected can then be performed identify correct any statistical problems data.