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MoinDalvs / Logistic_Regression_Claimants

Overview¶ CASENUM- Case number to identify the claim, a numeric vector ATTORNEY Whether the claimant is represented by an attorney (=1 if yes and =2 if no) CLMSEX Claimant’s gender (=1 if male and =2 if female), a numeric vector CLMINSUR Whether or not the driver of the claimant’s vehicle was uninsured (=1 if yes, =2 if no) SEATBELT Whether or not the claimant was wearing a seatbelt/child restraint (=1 if yes, =2 if no) CLMAGE Claimant’s age, a numeric vector LOSS The claimant’s total economic loss (in thousands)

Repository from Github https://github.comMoinDalvs/Logistic_Regression_ClaimantsRepository from Github https://github.comMoinDalvs/Logistic_Regression_Claimants

Overview

CASENUM- Case number to identify the claim, a numeric vector
ATTORNEY Whether the claimant is represented by an attorney (=1 if yes and =2 if no)
CLMSEX Claimant’s gender (=1 if male and =2 if female), a numeric vector
CLMINSUR Whether or not the driver of the claimant’s vehicle was uninsured (=1 if yes, =2 if no)
SEATBELT Whether or not the claimant was wearing a seatbelt/child restraint (=1 if yes, =2 if no)
CLMAGE Claimant’s age, a numeric vector LOSS The claimant’s total economic loss (in thousands)

About

Overview¶ CASENUM- Case number to identify the claim, a numeric vector ATTORNEY Whether the claimant is represented by an attorney (=1 if yes and =2 if no) CLMSEX Claimant’s gender (=1 if male and =2 if female), a numeric vector CLMINSUR Whether or not the driver of the claimant’s vehicle was uninsured (=1 if yes, =2 if no) SEATBELT Whether or not the claimant was wearing a seatbelt/child restraint (=1 if yes, =2 if no) CLMAGE Claimant’s age, a numeric vector LOSS The claimant’s total economic loss (in thousands)

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