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    Python 튜토리얼

    Lv2 모델링 2/2 python 파이썬 랜덤포레스트를 평가척도에 맞게 학습

    DACON.edu
    2021.07.01 10:19 8,051 Views
    comments 77

    랜덤포레스트 모듈의 옵션 중 criterion 옵션을 통해 어떤 평가척도를 기준으로 훈련할 것인지 정할 수 있습니다.

    따릉이 대회의 평가지표는 RMSE 입니다. RMSE 는 MSE 평가지표에 루트를 씌운 것으로서, 모델을 선언할 때 criterion = ‘mse’ 옵션으로 구현할 수 있습니다.

    model = RandomForestRegressor(criterion = 'mse')


    [Colab 실습 링크]


    ⬅️Lv2 모델링 1/2 랜덤포레스트 개념, 선언 /

    Lv2 튜닝 1/5 랜덤포레스트 변수중요도 확인➡️

    ↩️ 오늘의 파이썬 리스트


    👨‍💻데이스쿨 로 Up-Skill Re-Skill👩🏻‍💻


    #데이콘 #데이콘_101 #파이썬 #머신러닝 #딥러닝 #인공지능 #앙상블 #의사결정나무 #코랩 #데이터 #데이터분석 #판다스 #넘파이 #데이터사이언티스트 #AI #Python # Pandas #Numpy #lightgbm #read_csv #DACON #kaggle #sckit-learn

    77 Comments
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    정장입고시퍼요
    2021.08.02 15:50

    done

    분석을할상인가
    2021.08.05 23:55

    ✅

    세라자데
    2021.08.26 20:12

    ✅

    phu
    2021.08.30 22:56

    랜덤포레스트 회귀는 criterion = 'mse'를 입력하지 않아도 디폴트 옵션으로 가지고 있나 보네요

    그린티
    2021.09.02 13:51

    ✅

    DSJY
    2021.09.08 18:10

    ✅

    매미인턴
    2021.09.09 16:19

    done

    다욤
    2021.09.12 18:45

    ✅

    찬찬이
    2021.09.24 14:31

    ✅

    changhyeon
    2021.09.29 20:29

    done

    왼쪽눈썹왁싱
    2021.10.27 13:24

    ✅

    coddinggoldfish
    2021.11.15 22:45

    ✅

    yulia.
    2021.11.16 20:44

    ✅

    breaktime
    2021.11.26 14:58

    ✅

    sunnydays
    2021.11.27 13:27

    ✅

    도톤
    2021.12.07 09:42

    ✅

    지금노플
    2021.12.07 17:48

    ✅

    Hod0ri
    2021.12.08 19:07

    ✅

    비회원
    2021.12.13 00:02

    ✅

    Dataseeker
    2021.12.17 12:48

    ✅

    녹삭
    2021.12.18 18:46

    done

    moran
    2021.12.27 14:40

    ✅

    s_nana
    2021.12.28 09:47

    ✅

    암냠냠
    2021.12.29 00:41

    done

    MMMMMMMMMMMMMMMMMMMM
    2021.12.31 18:40

    ✅

    하랴랴
    2022.01.05 15:53

    ✅

    201702018
    2022.01.05 16:43

    ✅

    inuin
    2022.01.14 19:36

    done

    jj150618
    2022.01.16 23:21

    ✅

    dbnoid
    2022.01.18 18:42

    ✅

    hijihyo
    2022.01.18 22:43

    done

    호랭이띠
    2022.01.27 20:45

    done

    확통
    2022.02.04 16:36

    ✅

    찹쌀아빠
    2022.02.09 19:58

    ✅

    일렁
    2022.02.16 08:27

    ✅

    acebed
    2022.03.10 17:58

    done

    으아아아악
    2022.03.16 12:37

    ✅

    kimgugu
    2022.03.16 19:40

    ✅

    졔이
    2022.03.17 21:50

    ✅

    비회원
    2022.04.05 14:22

    ✅

    Kdata
    2022.04.06 17:52

    ✅

    pp.m
    2022.05.13 11:33

    ✅

    KIM2327
    2022.05.16 09:04

    ✅

    krooner
    2022.05.19 12:39

    ✅

    즈즈
    2022.05.25 10:32

    ✅

    김현배
    2022.05.29 02:14

    ✅

    이쑤
    2022.05.31 16:56

    ✅

    그린이
    2022.06.03 08:45

    ✅

    jaka
    2022.06.06 17:36

    ✅

    dnd404
    2022.06.29 17:06

    ✅

    Y2J
    2022.07.04 16:43

    ✅

    양현모든지쓸어버리겠다
    2022.07.06 16:52

    ✅

    qprz
    2022.07.12 19:44

    코랩 마지막 예제가 이상하게 뜨네요

    nigel
    2022.07.21 09:57

    ✅

    우주인
    2022.07.25 16:18

    ✅

    whdgus928
    2022.07.25 17:36

    done

    dnwne
    2022.07.26 15:25

    ✅

    SauberHands
    2022.08.07 16:31

    ✅

    유희
    2022.08.19 12:19

    ✅

    굿전
    2022.08.30 15:27

    완료

    준용_Choi
    2022.09.07 12:37

    done

    재상쓰
    2022.09.19 10:35

    done

    skanehfud279
    2022.09.20 16:23

    ✅

    엿장수
    2022.10.10 17:20

    ✅

    gnt0000
    2022.10.27 21:46

    done

    sk100
    2022.11.01 09:31

    done

    yun_
    2022.11.03 20:32

    done

    savvyall
    2022.11.28 19:41

    done

    액정깨진아이
    2023.01.04 19:28

    done

    유정잉
    2023.01.05 18:15

    ✅

    ickhwan
    2023.01.11 16:56

    ✅

    highllight
    2023.01.12 09:43

    ✅

    저예요저
    2023.02.28 18:48

    ✅

    Pepperoni
    2023.03.05 22:32

    ✅

    김시옷
    2023.05.29 17:04

    done+

    johnchoi44
    2023.06.02 14:21

    done

    wjdwltn11
    2023.11.24 21:08

    ✅

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