Row 58659

Row ID: 58659 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 58659 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

Need to work with this data https://www.kaggle.com/competitions/2023-travelers-ness-statathon/overview with a business problem: You work for Travelers Insurance Company's fraud detection department as a modeler. Your colleagues, who are not familiar with statistics, would like you to create a predictive model based on historical claim data. Your team is concerned about the fraud detection accuracy as well as the key drivers that cause fraudulence.

Please suggest some model for prediction

FieldValue
text Need to work with this data https://www.kaggle.com/competitions/2023-travelers-ness-statathon/overview with a business problem: You work for Travelers Insurance Company's fraud detection department as a modeler. Your colleagues, who are not familiar with statistics, would like you to create a predictive model based on historical claim data. Your team is concerned about the fraud detection accuracy as well as the key drivers that cause fraudulence. Please suggest some model for prediction
label r/machinelearning
dataType post
communityName r/MachineLearning
datetime 2024-05-23
username_encoded Z0FBQUFBQm5Lak1YdmxLcFhzVkU0TmFEdngwVUR5RjZOYjJ1RFlCd24takdJa041WGo0c1BES09yMGo2QlZqWWpPWDZ6M2szVEcxTFRjNDhFVGFRWmxUSzlyRzB2Vm83SFE9PQ==
url_encoded Z0FBQUFBQm5Lak9uR0duemlpVXJEeWhtRkI2cmt6Um9jSDhBLWJBNUljN1pTOGhobFB2VTBIYzkyWjNDOXpSZWx0V2hpT0pyNFAzTGhLTmJTSEZiQmU5Z0pLU29odFktTkx3dDQ5dHNPcm1ocjRYRWM3dVpXMmhVaWRiYlZEQkdZMnc2YnR6UDZVNkYyZlRpMWlDN2hhcFJjR2IwR0QtUEMyQXh0cHpFX0pYYlEyVE5JcE9CRFc1TnVJVGkzd3BBeXRhNWk0aUE5THRC

Raw Record

{
  "text": "\nNeed to work with this data https://www.kaggle.com/competitions/2023-travelers-ness-statathon/overview with a business problem: You work for Travelers Insurance Company's fraud detection department as a modeler. Your colleagues, who are not familiar with statistics, would like you to create a predictive model based on historical claim data. Your team is concerned about the fraud detection accuracy as well as the key drivers that cause fraudulence.\n\nPlease suggest some model for prediction",
  "label": "r/machinelearning",
  "dataType": "post",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1YdmxLcFhzVkU0TmFEdngwVUR5RjZOYjJ1RFlCd24takdJa041WGo0c1BES09yMGo2QlZqWWpPWDZ6M2szVEcxTFRjNDhFVGFRWmxUSzlyRzB2Vm83SFE9PQ==",
  "url_encoded": "Z0FBQUFBQm5Lak9uR0duemlpVXJEeWhtRkI2cmt6Um9jSDhBLWJBNUljN1pTOGhobFB2VTBIYzkyWjNDOXpSZWx0V2hpT0pyNFAzTGhLTmJTSEZiQmU5Z0pLU29odFktTkx3dDQ5dHNPcm1ocjRYRWM3dVpXMmhVaWRiYlZEQkdZMnc2YnR6UDZVNkYyZlRpMWlDN2hhcFJjR2IwR0QtUEMyQXh0cHpFX0pYYlEyVE5JcE9CRFc1TnVJVGkzd3BBeXRhNWk0aUE5THRC"
}
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