SMART DEFAULT THRESHOLD VALUES IN CONTINUOUS LEARNING

SMART DEFAULT THRESHOLD VALUES IN CONTINUOUS LEARNING

A method for improving a machine learning model may be provided. The method comprises selecting a model quality metric of the machine learning model, determining a threshold value for a model quality value relating to the model quality metric using an X control chart method based on cross validation...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CMIELOWSKI, LUKASZ G, BIGAJ, RAFAL, SLOWIKOWSKI, PAWEL, MIS, WOJCIECH
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:A method for improving a machine learning model may be provided. The method comprises selecting a model quality metric of the machine learning model, determining a threshold value for a model quality value relating to the model quality metric using an X control chart method based on cross validation with a number of folds, equal to a number of possible model quality values, and on determining that the model quality value is below the determined threshold value, retraining the machine learning model with a new set of training data.