MACHINE LEARNING CLASSIFIERS PREDICTION CONFIDENCE AND EXPLANATION

A method, a computer system, and a computer program product for generating explanations for different confidence levels of machine learning classifiers is provided. Embodiments of the present invention may include obtaining a dataset. Embodiments of the present invention may include training a first...

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Bibliographische Detailangaben
Hauptverfasser:	Zhang, Yunfeng, Liao, Qingzi, Bellamy, Rachel Katherine Emma
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS
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Beschreibung
Zusammenfassung:	A method, a computer system, and a computer program product for generating explanations for different confidence levels of machine learning classifiers is provided. Embodiments of the present invention may include obtaining a dataset. Embodiments of the present invention may include training a first classifier using the dataset to generate probabilities. Embodiments of the present invention may include generating confidence scores using the first classifier. Embodiments of the present invention may include defining targeted confidence zones by transforming the generated probabilities into the confidence scores. Embodiments of the present invention may include training a second classifier to derive explanations. Embodiments of the present invention may include providing the explanations as an output.