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VERSION:2.0
PRODID:-//AMSE//Event Calendar//FR
CALSCALE:GREGORIAN
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UID:event-7352@www.amse-aixmarseille.fr
DTSTAMP:20260502T071501Z
CREATED:20260502T071501Z
LAST-MODIFIED:20260502T071501Z
STATUS:CONFIRMED
SEQUENCE:0
SUMMARY:big data and econometrics seminar - Tim Verdonck
DTSTART:20210601T120000Z
DTEND:20210601T133000Z
DESCRIPTION:Financial institutions increasingly rely on predictive machine 
 learning models to detect fraudulent transactions. Two main challenges when
  building a supervised tool for fraud detection are the imbalance or skewne
 ss of the data and the various costs for different types of misclassificati
 on. We discuss techniques to solve the imbalance issue and present a cost-s
 ensitive logistic regression algorithm.\\n\\nContact: Michel Lubrano : mich
 el.lubrano[at]univ-amu.frPierre Michel : pierre.michel[at]univ-amu.fr\n\nP
 lus d'informations: https://www.amse-aixmarseille.fr/fr/evenements/tim-verd
 onck-1
LOCATION:Îlot Bernard du Bois - Salle 21\, AMU - AMSE\, 5-9 boulevard Maur
 ice Bourdet\, 13001 Marseille
URL;VALUE=URI:https://www.amse-aixmarseille.fr/fr/evenements/tim-verdonck-1
CONTACT:Michel Lubrano : michel.lubrano[at]univ-amu.frPierre Michel :&nbsp\
 ;pierre.michel[at]univ-amu.fr
TRANSP:OPAQUE
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