Khurshid et al., 2024 - Google Patents

Comparative Evaluation of Applicability Domain Definition Methods for Regression Models

Khurshid et al., 2024

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Document ID
15124638849231164044
Author
Khurshid S
Loganathan B
Duvinage M
Publication year
Publication venue
arXiv preprint arXiv:2411.00920

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Snippet

The applicability domain refers to the range of data for which the prediction of the predictive model is expected to be reliable and accurate and using a model outside its applicability domain can lead to incorrect results. The ability to define the regions in data space where a …
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Classifications

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    • G06K9/6267—Classification techniques
    • G06K9/6279—Classification techniques relating to the number of classes
    • G06K9/6284—Single class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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