dogear

enter for all results · esc to close

Example-Dependent Cost-Sensitive Logistic Regression for Credit Scoring

ieeexplore.ieee.orgsite

Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples. Credit scoring is a typical example of cost-sensitive classification. However, it is usually treated using methods that do…

from
Credit Modeling
added
2026-10-10
likes
0

similar

  1. Recent developments in consumer credit risk assessment sciencedirect.com

    The riskiness of lending to a credit applicant is usually estimated using a logistic regression model though researchers have considered many other types of classifier, but data quality issues may prevent these laboratory based results from being achieved in practice. The…

  2. Classification methods applied to credit scoring: Systematic review and overall comparison sciencedirect.com

    The need for controlling and effectively managing credit risk has led financial institutions to excel in improving techniques designed for this purpose, resulting in the development of various quantitative models by financial institutions and consulting companies. Hence, the…

  3. A multi-objective approach for profit-driven feature selection in credit scoring sciencedirect.com

    In credit scoring, feature selection aims at removing irrelevant data to improve the performance and interpretability of the scorecard. Standard techniques treat feature selection as a single-objective task and rely on statistical criteria such as correlation. Recent studies…

  4. Regulatory learning: How to supervise machine learning models? An application to credit scoring sciencedirect.com

    The arrival of Big Data strategies is threatening the latest trends in financial regulation related to the simplification of models and the enhancement of the comparability of approaches chosen by financial institutions. Indeed, the intrinsic dynamic philosophy of Big Data…

  5. Machine learning predictivity applied to consumer creditworthiness fbj.springeropen.com

    Analyzes the adequacy of borrower’s classification models using a Brazilian bank’s loan database, exploring machine learning techniques, and comparing their predictive accuracy with a benchmark based on a Logistic Regression model. Comparisons are based on usual classification…

  6. Data mining feature selection for credit scoring models link.springer.com

    The features used may have an important effect on the performance of credit scoring models. The process of choosing the best set of features for credit scoring models is usually unsystematic and dominated by somewhat arbitrary trial. This paper presents an empirical study of…

Credit Modeling › Credit Scoring: “Several real-world classification problems are example-dependent cost-sensitive in nature, where the costs due to misclassification vary between examples. Credit scoring is a typical example of cost-sensitive classification. However, it is usually treated using methods that do…”