Predictive model generation
作者： Donald B. Rubin , Stephen K. Pinto , Richard J. W. Mansfield , Jay C. Hirshberg , Marc Jacobs
DOI:
关键词: Variable (computer science) 、 Data mining 、 Process (computing) 、 Sequence 、 Computer science 、 Dimensionality reduction 、 Variety (cybernetics) 、 Graphical user interface 、 Process validation 、 Model development
摘要: Models are generated using a variety of tools and features model generation platform. For example, in connection with project which user generates predictive based on historical data about system being modeled, the is provided through graphical interface structured sequence activities to be followed, including dimension reduction, generation, process validation, re-generation. Historical multi-dimensional received representing multiple variables transformed maximally for at least one outcome variable used as an input commercial system, development validated or more sets such enabling tool combine two from variables.
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