Litcius/Paper detail

Toward an explainable machine learning model for claim frequency: a use case in car insurance pricing with telematics data

Arthur Maillart

2021European Actuarial Journal16 citationsDOI

Topics & Concepts

TelematicsRandom forestBoosting (machine learning)Computer scienceEnsemble learningTree (set theory)Gradient boostingMachine learningBlack boxArtificial intelligenceMathematical financeDecision treeMathematicsEconomicsTelecommunicationsMathematical analysisFinancial economicsMachine Learning in HealthcareStatistical Methods and InferenceExplainable Artificial Intelligence (XAI)
Toward an explainable machine learning model for claim frequency: a use case in car insurance pricing with telematics data | Litcius