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Algorithmic harm in consumer markets
Abstract Machine learning algorithms are increasingly able to predict what goods and
services particular people will buy, and at what price. It is possible to imagine a situation in …
services particular people will buy, and at what price. It is possible to imagine a situation in …
[PDF][PDF] Assessment of probability defaults using K-means based multinomial logistic regression
G Arutjothi, C Senthamarai - International Journal of Computer Theory and …, 2022 - ijcte.com
Classification analysis is a key and easy tool in machine learning and prediction. Because of
the large amount of data and the need to convert this data into useful information and …
the large amount of data and the need to convert this data into useful information and …
[PDF][PDF] Comparative analysis of linear, non-linear and ensemble machine learning algorithms for credit worthiness of consumers
We apply machine-learning techniques to construct linear, non-linear and ensemble
machine learning algorithms. The linear comprises of logistic regression (LR), linear …
machine learning algorithms. The linear comprises of logistic regression (LR), linear …
Cost-sensitive classifiers in credit rating: A comparative study on P2P lending
In credit rating, borrowers are classified into some grades, based on their past credit
experience, to recognize potential borrowers who are of different probability of default …
experience, to recognize potential borrowers who are of different probability of default …
Políticas de crédito y gestión de cobranza en Laboratorios SMA SAC Ate Vitarte
GK Casasola Gomez, G Ramos Maza - 2020 - alicia.concytec.gob.pe
El informe de investigación tuvo como finalidad describir en qué medida las políticas de
crédito se relacionan con la gestión de cobranza en la empresa Laboratorios SMA SAC …
crédito se relacionan con la gestión de cobranza en la empresa Laboratorios SMA SAC …
[PDF][PDF] CONSOLIDATION OF THE BANKING SECTOR-A CHEAP BUYING STRATEGY CASE
D Jevtić, T Vesic - Education, 2019 - researchgate.net
On the Serbian market, we can find, ending 2018. year, 27 banks. By itself, this information
can't mean much, but if we consider that Top 5 banks, have over 50% of whole market, in …
can't mean much, but if we consider that Top 5 banks, have over 50% of whole market, in …