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    Abalone Age Prediction AI Hackathon

    Structured | NMAE

    • moneyIcon Prize : 참가시 최소 50 XP, 특별상 데이콘 후드
    • 2022.03.21 ~ 2022.04.01 17:59 + Google Calendar
    • 657 Users Completed
    Practice
    Overview Data Code (share) Talk Leaderboard
    Likes
    Views
    Comments
    Posted
    공지
    [EDA] 데이터 분석 입문자를 위한 데이터 살펴보기
    Views  5,662
    Comments  3
    3yr ago
    [EDA] 데이터 분석 입문자를 위한 데이터 살펴보기
    3
    5,662
    3yr ago
    공지
    [Baseline] 2. RandomForest 를 이용한 정형 데이터 분류
    Views  3,610
    Comments  0
    3yr ago
    [Baseline] 2. RandomForest 를 이용한 정형 데이터 분류
    0
    3,610
    3yr ago
    공지
    [Baseline] 1. RandomForest 를 이용한 정형 데이터 분류
    Views  4,163
    Comments  1
    3yr ago
    [Baseline] 1. RandomForest 를 이용한 정형 데이터 분류
    1
    4,163
    3yr ago
    [private 1위 0.14111] Feature Engineering + NN Ensemble
    voted Likes  19
    Views  3,534
    Comments  3
    3yr ago
    [private 1위 0.14111] Feature Engineering + NN Ensemble
    3
    3,534
    19
    3yr ago
    [public 1위, private 7위 0.14186] Tree Model + CNN Ensemble
    voted Likes  12
    Views  2,803
    Comments  5
    3yr ago
    [public 1위, private 7위 0.14186] Tree Model + CNN Ensemble
    5
    2,803
    12
    3yr ago
    [private 5위 0.14145] simple DNN , multi model for gender
    voted Likes  12
    Views  2,938
    Comments  1
    3yr ago
    [private 5위 0.14145] simple DNN , multi model for gender
    1
    2,938
    12
    3yr ago
    [public 3위 0.13837, private 30위 0.1435] AutoML
    voted Likes  8
    Views  3,061
    Comments  0
    3yr ago
    [public 3위 0.13837, private 30위 0.1435] AutoML
    0
    3,061
    8
    3yr ago
    Simple EDA & Bagging model
    voted Likes  9
    Views  3,481
    Comments  0
    3yr ago
    Simple EDA & Bagging model
    0
    3,481
    9
    3yr ago
    간단한 nn 0.14045
    voted Likes  22
    Views  2,644
    Comments  21
    3yr ago
    간단한 nn 0.14045
    21
    2,644
    22
    3yr ago
    전복나이 머신러닝 프로세스(전복의 실수율; 밀도 feature 추가)
    voted Likes  18
    Views  3,806
    Comments  6
    3yr ago
    전복나이 머신러닝 프로세스(전복의 실수율; 밀도 feature 추가)
    6
    3,806
    18
    3yr ago
    EDA(첫 대회)
    voted Likes  13
    Views  2,808
    Comments  0
    3yr ago
    EDA(첫 대회)
    0
    2,808
    13
    3yr ago
    MLP + NGB + XGB + CAT with Data Over Sampling (0.144)
    voted Likes  33
    Views  3,653
    Comments  18
    3yr ago
    MLP + NGB + XGB + CAT with Data Over Sampling (0.144)
    18
    3,653
    33
    3yr ago
    Simple NN (public: 0.1551) [Keras]
    voted Likes  19
    Views  2,726
    Comments  3
    3yr ago
    Simple NN (public: 0.1551) [Keras]
    3
    2,726
    19
    3yr ago