Automatic machine learning model generation

Automatic machine learning model generation

A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automati...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Bergmann, Till Christian, Masekera, Chalenge, Ball, John Emery, Lewis, James Reber, Asher, Sara Beth, Nabar, Shubha, Gordon, Vitaly, Dandekar, Nihar, Kan, Kin Fai
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A system may automatically generate a predictive machine learning model by automatically performing various processes based on an analysis of the data as well as metadata associated with the data. The system may accept a selection of data and a prediction field from the data. The system may automatically generate a set of features based on the data and may automatically remove certain features that cause inaccuracies in the model. The system may balance the data based on a representation rate of certain outcomes. The system may train and select a model based on several candidate models. The system may then perform the predictions based on the selected model and send an indication of the predictions to a user.