Mouneshgouda/Insurance-claim
Prediction of Auto Insurance Claim detection • Problem statement is related is to insurance domain • Performed a key role in Machine learning : Data gathering, cleaning ,Feature engineering ,Feature Selection ,Data visualization Model building ,Hyper parameter tunning • It’s a Classification problem evaluated model using confusion matrix and model
This project helps insurance companies identify potentially fraudulent auto insurance claims before they are paid out. By analyzing claim data, it produces a prediction indicating whether a claim is likely to be legitimate or suspicious. This tool is designed for claims adjusters, fraud investigators, or risk management professionals in the auto insurance sector.
No commits in the last 6 months.
Use this if you need to quickly flag suspicious auto insurance claims to prioritize investigations and reduce payouts on fraudulent claims.
Not ideal if you need a system that automatically denies claims without human review, as this tool is designed for detection and flagging, not final decision-making.
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Last pushed
Dec 31, 2022
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