A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification

A high-dimensionality-trait-driven learning paradigm for high dimensional credit classification

Abstract To solve the high-dimensionality issue and improve its accuracy in credit risk assessment, a high-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main stages: categorization of high dimensiona...

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Bibliografische gegevens
Hoofdauteurs: Lean Yu, Lihang Yu, Kaitao Yu
Formaat: Artikel
Taal:English
Gepubliceerd in: SpringerOpen 2021-04-01
Reeks:Financial Innovation
Onderwerpen:
High dimensionality
Trait-driven learning paradigm
Feature extraction
Classifier selection
Credit risk classification
Online toegang:https://doi.org/10.1186/s40854-021-00249-x

Internet

https://doi.org/10.1186/s40854-021-00249-x

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