DACON
search Subscribe
noti 0

    MY XP

    XP Info

    LEVEL 1

    Until Next Level 150 XP

    0/150 XP

    Today's XP

    0 / 800

    Total XP

    0

    Earned XP

    0

    Spent XP

    0

    Sign in with your SNS accounts

    google
    Sign in with Google
    Don't have an account? Sign Up
    Verify your email

    To sign up, you must verify your email. Do you want to resend the code?
    [Dacon] sign up verification

    Your email must be verified to complete the sign up process. Please verify your email below to complete.

    Terms of Use

    Privacy policy

    Consent to receive marketing information

    Dacon Monthly Credit Card Fraud Detection AI Challenge

    Algorithm | Tabular | Classification | Dacon Monthly | Detection | Macro f1 score

    • moneyIcon Prize : 100만 원 + ɑ
    • 2022.07.01 ~ 2022.08.05 16:59 + Google Calendar
    • 2,154 Users Completed
    Practice
    Overview Data Code (share) Talk Leaderboard

    Setup D-0

     

    EDA / Colab

    권남우
    2023.02.20 14:52 2,475 Views language
    comments 0

    각각 칼럼 별로 시각화하여 정상 거래와 사기 거래 데이터 패턴을 확인해보았습니다.

    상세한 설명은 다음의 링크를 확인해주요. (Seaborn 대신 Matplotlib만 사용)
    https://bit.ly/DACrew-4th-tree123-Stage5

    Code
    0 Comments
    Login Required
    0 / 1000
    📣 The comment input field has been moved to the top of the comment list!
    to_list List
    Previous
    [PRIVATE : 0.9095960953] 파생변수 + 차원축소 + Ensemble Auto Encoder
    Competition - 신용카드 사기 거래 탐지 AI 경진대회 월간 데이콘
    Likes 3
    Views 3,068
    Comments 0
    2yr ago
    Current
    EDA / Colab
    Competition - 신용카드 사기 거래 탐지 AI 경진대회 월간 데이콘
    Likes 3
    Views 2,475
    Comments 0
    2yr ago
    Next
    [Pytorch] 매우 간단한 1D AutoEncoder 활용 (Public Score : 0.926)
    Competition - 신용카드 사기 거래 탐지 AI 경진대회 월간 데이콘
    Likes 65
    Views 13,277
    Comments 17
    3yr ago