{ "id": 411094, "title": "72 teams improved their scores during the five days", "url": "/competitions/predict-student-performance-from-game-play/discussion/411094", "author_name": "", "post_date": "2023-05-17T17:32:32.223631500Z", "votes": -7, "comment_count": 9, "views": 0, "content": "

72 teams improved their scores during the five days. Excellent. Will all teams describe ideas that they don't plan to keep secret? How do you improve your score?

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TeamNameScore, 17 may 2023Score, 13 may 2023+Up 5 day ScoreLessons
Alvor & Remek @allvor @remekkinas0,7030,7020,001https://www.kaggle.com/competitions/tensorflow-great-barrier-reef/discussion/297863
SEAL SOUL @godofpdog @jimmyliao862040,7020,70,002https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369770
N o i c e @woprime0,7020,7010,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/399802#2261926
https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/409497#2256024
jojo_wilder @flowlight @qhapaq49 @charmq0,7020,6980,004https://www.kaggle.com/code/flowlight/kaggle-book-gokui-chapter5-lightgbm
https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification/discussion/228775
LittleStar @littlstar1230,7010,70,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/403687#2241556
iykyk🫡 @mrhantato0,7010,70,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/405460
ACI @m4nales @andr3ypak @iliavasilev @bonjouratous0,70,6990,001https://www.kaggle.com/code/abaojiang/lb-0-694-event-aware-tconv-with-only-4-features
Occccn @occccn0,70,6990,001
T-KAWA @ta6ka4shi0,6990,6980,001
xiaobenla @xiaobenla0,6980,6950,003
bulivington @bulivington0,6970,6920,005
kglctf @kglctf0,6970,6960,001
error @errorfunc0,6970,6880,009
Patrick Yam @kingychiu @wimwim @tangtunyu0,6970,6960,001
Cherish Chen @cherishchenchersih0,6970,6950,002
TheLimitDoesNotExist @krabhijeet @abhishekmle0,6970,6950,002
Jiawen9 @jiawen90,6970,6960,001
kdkca @ainjhamn526 @schwalbe10 @chiaki800 @david012345 @kaneda050,6970,6950,002
tty @ttytest0,6970,6730,024
senfweow @senfweow0,6970,6960,001
Jingqi Chen @jingqichen0,6970,6930,004
Zhang Jiexi @zhangjiexi @nickyoung370,6970,6940,003
Suraj Dengale @surajdengale0,6970,6950,002
408Lab lzy990109 @baiyucraft @cristozhang0,6970,6950,002
RRE @plut0n @rustemx0,6970,6950,002
Ivan Isaev @ivanisaev0,6970,6950,002
弓长洪洋 @luchun1230,6970,6950,002
Yutaka Sawai @ysawai0,6970,6590,038
Yining Tan @yiningtan0,6970,6950,002
charliechaplin00 @charliechaplin000,6970,6960,001
Zeyu Zhang @zeyuzhang1310,6970,6950,002
Aleron @aleron7510,6960,6830,013
Gabriel Figueiro @gabrielfigueiro0,6960,6950,001
MLE @davero @volkersommerfeld0,6960,6950,001
Jan333 @jan3330,6960,6950,001
flamepurple @flamepurple0,6960,6950,001
Ethanlam0415 @ethanlam0415 @clyde8902020,6950,6780,017
Yihao Qiao @yihaoqiao0,6950,6870,008
Itsunori @itsunori0,6950,6770,018
Hellsegamosken @hellsegamosken0,6950,6720,023
MujieZhao @mujiezhao0,6950,6770,018
tonic @jinmiyashita0,6950,6940,001
igjit @igjit10,6940,6930,001
Kei Miyamae @kei96kag0,6940,6930,001
payanotty @payanotty @tatsuokoshida @yumutabuchi @tsuwa250,6930,6910,002
Ryusuke Murata @pongen0,6930,6420,051
Glipko @glipko @oreehovich3 @polyakovstepan0,6910,6880,003
pao @yoichi7yamakawa @go5kuramubon0,6880,680,008
mejlik @mejlik0,6880,6770,011
FelixEmon @felixemon0,6870,6730,014
hanaori @hanaori0,6860,6820,004
KUNIHIRO TABATA @kunihirotabata0,6850,6530,032
Mohammad Mohsin789 @mohammadmohsin7890,6810,6780,003
SulBing @wzntkhj @greenare @eomhojeong @jhyun5050,6810,6790,002
Ilya Ivanitskiy @ivanitskiy0,680,6720,008
Y.Tani @otosan0,680,6730,007
The Stags @killiyun @harrynelson @rudramutalik @owenmawbey @kanishkg160,680,6720,008
MrSplashMan @miltiadesgeneral @mrsplashman0,680,6730,007
kiaz9u @kiaz9u0,6790,6780,001
Michael @samuelcd0,6790,6770,002
Tevfik Aytekin @tevfikaytekin0,6780,6770,001
Project Hunter @thedeafone @evandreher @noyuman0,6780,6770,001
Munavar @munavar0,6770,6720,005
RadhikaB6 @radhikab60,6760,6730,003
Quvotha @tomokikmogura0,6590,6420,017
m_furu @miyafuru0,6590,6450,014
masaru3n @masaru3n0,6550,6150,04
Hayden LaBrie @haydenlabrie0,6330,2140,419
Iori WATANABE @iori76sushi0,6130,6070,006
kitayama @kkityama0,6050,6030,002
iitm21f2000493 @iitm21f20004930,60,5330,067
", "messages": [ { "id": "2263567", "postDate": "05/17/2023 17:32:32", "content": "

72 teams improved their scores during the five days. Excellent. Will all teams describe ideas that they don't plan to keep secret? How do you improve your score?

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
TeamNameScore, 17 may 2023Score, 13 may 2023+Up 5 day ScoreLessons
Alvor & Remek @allvor @remekkinas0,7030,7020,001https://www.kaggle.com/competitions/tensorflow-great-barrier-reef/discussion/297863
SEAL SOUL @godofpdog @jimmyliao862040,7020,70,002https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369770
N o i c e @woprime0,7020,7010,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/399802#2261926
https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/409497#2256024
jojo_wilder @flowlight @qhapaq49 @charmq0,7020,6980,004https://www.kaggle.com/code/flowlight/kaggle-book-gokui-chapter5-lightgbm
https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification/discussion/228775
LittleStar @littlstar1230,7010,70,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/403687#2241556
iykyk🫡 @mrhantato0,7010,70,001https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/405460
ACI @m4nales @andr3ypak @iliavasilev @bonjouratous0,70,6990,001https://www.kaggle.com/code/abaojiang/lb-0-694-event-aware-tconv-with-only-4-features
Occccn @occccn0,70,6990,001
T-KAWA @ta6ka4shi0,6990,6980,001
xiaobenla @xiaobenla0,6980,6950,003
bulivington @bulivington0,6970,6920,005
kglctf @kglctf0,6970,6960,001
error @errorfunc0,6970,6880,009
Patrick Yam @kingychiu @wimwim @tangtunyu0,6970,6960,001
Cherish Chen @cherishchenchersih0,6970,6950,002
TheLimitDoesNotExist @krabhijeet @abhishekmle0,6970,6950,002
Jiawen9 @jiawen90,6970,6960,001
kdkca @ainjhamn526 @schwalbe10 @chiaki800 @david012345 @kaneda050,6970,6950,002
tty @ttytest0,6970,6730,024
senfweow @senfweow0,6970,6960,001
Jingqi Chen @jingqichen0,6970,6930,004
Zhang Jiexi @zhangjiexi @nickyoung370,6970,6940,003
Suraj Dengale @surajdengale0,6970,6950,002
408Lab lzy990109 @baiyucraft @cristozhang0,6970,6950,002
RRE @plut0n @rustemx0,6970,6950,002
Ivan Isaev @ivanisaev0,6970,6950,002
弓长洪洋 @luchun1230,6970,6950,002
Yutaka Sawai @ysawai0,6970,6590,038
Yining Tan @yiningtan0,6970,6950,002
charliechaplin00 @charliechaplin000,6970,6960,001
Zeyu Zhang @zeyuzhang1310,6970,6950,002
Aleron @aleron7510,6960,6830,013
Gabriel Figueiro @gabrielfigueiro0,6960,6950,001
MLE @davero @volkersommerfeld0,6960,6950,001
Jan333 @jan3330,6960,6950,001
flamepurple @flamepurple0,6960,6950,001
Ethanlam0415 @ethanlam0415 @clyde8902020,6950,6780,017
Yihao Qiao @yihaoqiao0,6950,6870,008
Itsunori @itsunori0,6950,6770,018
Hellsegamosken @hellsegamosken0,6950,6720,023
MujieZhao @mujiezhao0,6950,6770,018
tonic @jinmiyashita0,6950,6940,001
igjit @igjit10,6940,6930,001
Kei Miyamae @kei96kag0,6940,6930,001
payanotty @payanotty @tatsuokoshida @yumutabuchi @tsuwa250,6930,6910,002
Ryusuke Murata @pongen0,6930,6420,051
Glipko @glipko @oreehovich3 @polyakovstepan0,6910,6880,003
pao @yoichi7yamakawa @go5kuramubon0,6880,680,008
mejlik @mejlik0,6880,6770,011
FelixEmon @felixemon0,6870,6730,014
hanaori @hanaori0,6860,6820,004
KUNIHIRO TABATA @kunihirotabata0,6850,6530,032
Mohammad Mohsin789 @mohammadmohsin7890,6810,6780,003
SulBing @wzntkhj @greenare @eomhojeong @jhyun5050,6810,6790,002
Ilya Ivanitskiy @ivanitskiy0,680,6720,008
Y.Tani @otosan0,680,6730,007
The Stags @killiyun @harrynelson @rudramutalik @owenmawbey @kanishkg160,680,6720,008
MrSplashMan @miltiadesgeneral @mrsplashman0,680,6730,007
kiaz9u @kiaz9u0,6790,6780,001
Michael @samuelcd0,6790,6770,002
Tevfik Aytekin @tevfikaytekin0,6780,6770,001
Project Hunter @thedeafone @evandreher @noyuman0,6780,6770,001
Munavar @munavar0,6770,6720,005
RadhikaB6 @radhikab60,6760,6730,003
Quvotha @tomokikmogura0,6590,6420,017
m_furu @miyafuru0,6590,6450,014
masaru3n @masaru3n0,6550,6150,04
Hayden LaBrie @haydenlabrie0,6330,2140,419
Iori WATANABE @iori76sushi0,6130,6070,006
kitayama @kkityama0,6050,6030,002
iitm21f2000493 @iitm21f20004930,60,5330,067
", "rawMarkdown": "72 teams improved their scores during the five days. Excellent. Will all teams describe ideas that they don't plan to keep secret? How do you improve your score?\n\n\n| TeamName | Score, 17 may 2023 | Score, 13 may 2023 | +Up 5 day Score | Lessons | \n| --- | --- | --- | --- |--- |\n| Alvor & Remek @allvor @remekkinas | 0,703 | 0,702 | 0,001 | https://www.kaggle.com/competitions/tensorflow-great-barrier-reef/discussion/297863 | \n| SEAL SOUL\t@godofpdog @jimmyliao86204 | 0,702 | \t0,7\t| \t0,002\t| https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369770 | \n| N o i c e\t@woprime | \t0,702\t| 0,701 | 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/399802#2261926 | \n| | | | |https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/409497#2256024 | \n| jojo_wilder\t@flowlight @qhapaq49 @charmq | \t0,702\t| \t0,698\t| 0,004 | https://www.kaggle.com/code/flowlight/kaggle-book-gokui-chapter5-lightgbm | \n| | | | |https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification/discussion/228775| \n| \tLittleStar @littlstar123\t| \t0,701\t| \t0,7\t| 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/403687#2241556 | \n| \tiykyk🫡 @mrhantato\t| \t0,701\t| \t0,7\t| 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/405460 | \n| \tACI @m4nales @andr3ypak @iliavasilev @bonjouratous\t| \t0,7\t| \t0,699\t| 0,001 | https://www.kaggle.com/code/abaojiang/lb-0-694-event-aware-tconv-with-only-4-features | \n| \tOccccn @occccn\t| \t0,7\t| \t0,699\t| 0,001 | | \n| \tT-KAWA @ta6ka4shi\t| \t0,699\t| \t0,698\t| 0,001 | | \n| \txiaobenla @xiaobenla\t| \t0,698\t| \t0,695\t| 0,003 | | \n| \tbulivington @bulivington\t| \t0,697\t| \t0,692\t| 0,005 | | \n| \tkglctf @kglctf\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \terror @errorfunc\t| \t0,697\t| \t0,688\t| \t0,009\t| | \n| \tPatrick Yam @kingychiu @wimwim @tangtunyu\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tCherish Chen @cherishchenchersih\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tTheLimitDoesNotExist @krabhijeet @abhishekmle\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tJiawen9 @jiawen9\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tkdkca @ainjhamn526 @schwalbe10 @chiaki800 @david012345 @kaneda05\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \ttty @ttytest\t| \t0,697\t| \t0,673\t| \t0,024\t| | \n| \tsenfweow @senfweow\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tJingqi Chen @jingqichen\t| \t0,697\t| \t0,693\t| \t0,004\t| | \n| \tZhang Jiexi @zhangjiexi @nickyoung37\t| \t0,697\t| \t0,694\t| \t0,003\t| | \n| \tSuraj Dengale @surajdengale\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \t408Lab lzy990109 @baiyucraft @cristozhang\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tRRE @plut0n @rustemx\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tIvan Isaev @ivanisaev\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \t弓长洪洋\t@luchun123 | \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tYutaka Sawai @ysawai\t| \t0,697\t| \t0,659\t| \t0,038\t| | \n| \tYining Tan @yiningtan\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tcharliechaplin00 @charliechaplin00\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tZeyu Zhang @zeyuzhang131\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tAleron @aleron751\t| \t0,696\t| \t0,683\t| \t0,013\t| | \n| \tGabriel Figueiro @gabrielfigueiro\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tMLE @davero @volkersommerfeld\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tJan333 @jan333\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tflamepurple @flamepurple\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tEthanlam0415 @ethanlam0415 @clyde890202\t| \t0,695\t| \t0,678\t| \t0,017\t| | \n| \tYihao Qiao @yihaoqiao\t| \t0,695\t| \t0,687\t| \t0,008\t| | \n| \tItsunori @itsunori\t| \t0,695\t| \t0,677\t| \t0,018\t| | \n| \tHellsegamosken @hellsegamosken\t| \t0,695\t| \t0,672\t| \t0,023\t| | \n| \tMujieZhao @mujiezhao\t| \t0,695\t| \t0,677\t| \t0,018\t| | \n| \ttonic @jinmiyashita\t| \t0,695\t| \t0,694\t| \t0,001\t| | \n| \tigjit @igjit1\t| \t0,694\t| \t0,693\t| \t0,001\t| | \n| \tKei Miyamae @kei96kag\t| \t0,694\t| \t0,693\t| \t0,001\t| | \n| \tpayanotty @payanotty @tatsuokoshida @yumutabuchi @tsuwa25\t| \t0,693\t| \t0,691\t| \t0,002\t| | \n| \tRyusuke Murata @pongen\t| \t0,693\t| \t0,642\t| \t0,051\t| | \n| \tGlipko @glipko @oreehovich3 @polyakovstepan\t| \t0,691\t| \t0,688\t| \t0,003\t| | \n| \tpao @yoichi7yamakawa @go5kuramubon\t| \t0,688\t| \t0,68\t| \t0,008\t| | \n| \tmejlik @mejlik\t| \t0,688\t| \t0,677\t| \t0,011\t| | \n| \tFelixEmon @felixemon\t| \t0,687\t| \t0,673\t| \t0,014\t| | \n| \thanaori @hanaori\t| \t0,686\t| \t0,682\t| \t0,004\t| | \n| \tKUNIHIRO TABATA @kunihirotabata\t| \t0,685\t| \t0,653\t| \t0,032\t| | \n| \tMohammad Mohsin789 @mohammadmohsin789\t| \t0,681\t| \t0,678\t| \t0,003\t| | \n| \tSulBing @wzntkhj @greenare @eomhojeong @jhyun505\t| \t0,681\t| \t0,679\t| \t0,002\t| | \n| \tIlya Ivanitskiy @ivanitskiy\t| \t0,68\t| \t0,672\t| \t0,008\t| | \n| \tY.Tani @otosan\t| \t0,68\t| \t0,673\t| \t0,007\t| | \n| \tThe Stags @killiyun @harrynelson @rudramutalik @owenmawbey @kanishkg16\t| \t0,68\t| \t0,672\t| \t0,008\t| | \n| \tMrSplashMan @miltiadesgeneral @mrsplashman\t| \t0,68\t| \t0,673\t| \t0,007\t| | \n| \tkiaz9u @kiaz9u\t| \t0,679\t| \t0,678\t| \t0,001\t| | \n| \tMichael @samuelcd\t| \t0,679\t| \t0,677\t| \t0,002\t| | \n| \tTevfik Aytekin @tevfikaytekin\t| \t0,678\t| \t0,677\t| \t0,001\t| | \n| \tProject Hunter @thedeafone @evandreher @noyuman\t| \t0,678\t| \t0,677\t| \t0,001\t| | \n| \tMunavar @munavar\t| \t0,677\t| \t0,672\t| \t0,005\t| | \n| \tRadhikaB6 @radhikab6\t| \t0,676\t| \t0,673\t| \t0,003\t| | \n| \tQuvotha @tomokikmogura\t| \t0,659\t| \t0,642\t| \t0,017\t| | \n| \tm_furu @miyafuru\t| \t0,659\t| \t0,645\t| \t0,014\t| | \n| \tmasaru3n @masaru3n\t| \t0,655\t| \t0,615\t| \t0,04\t| | \n| \tHayden LaBrie @haydenlabrie\t| \t0,633\t| \t0,214\t| \t0,419\t| | \n| \tIori WATANABE @iori76sushi\t| \t0,613\t| \t0,607\t| \t0,006\t| | \n| \tkitayama @kkityama\t| \t0,605\t| \t0,603\t| \t0,002\t| | \n| \tiitm21f2000493 @iitm21f2000493\t| \t0,6\t| \t0,533\t| \t0,067\t| |", "votes": null }, { "id": "2263841", "postDate": "05/18/2023 00:59:31", "content": "

Hi, I try very hard in my local environment. After tuning the cv over 0.701 then make a submission.

\n

My effort foucs on feature engineering and feature selection, training a model base on GBDT(in my case, I use lightGBM) with a little manual hyperparamter tuning .

\n

In my case, feature selection is most important, boost about 0.3%(cv 0.6995->0.7013, lb 0.700->0.702).

", "rawMarkdown": "Hi, I try very hard in my local environment. After tuning the cv over 0.701 then make a submission.\n\nMy effort foucs on **feature engineering** and **feature selection**, training a model base on GBDT(in my case, I use lightGBM) with a little manual hyperparamter tuning .\n\nIn my case, **feature selection** is most important, boost about 0.3%(cv 0.6995->0.7013, lb 0.700->0.702).", "votes": null }, { "id": "2263971", "postDate": "05/18/2023 04:03:16", "content": "

how to use feature selection? can you share a bit? Thank you

", "rawMarkdown": "how to use feature selection? can you share a bit? Thank you", "votes": null }, { "id": "2264008", "postDate": "05/18/2023 05:01:34", "content": "

training model on every fold, then select feature by its gain, split, and correlation between other feature

", "rawMarkdown": "training model on every fold, then select feature by its gain, split, and correlation between other feature", "votes": null }, { "id": "2264187", "postDate": "05/18/2023 08:31:13", "content": "

Feature engineering gets me to CV 0. 6997 -> LB 0.701, and the rest is not very stable, so I don't think I will disclose it for now.

", "rawMarkdown": "Feature engineering gets me to CV 0. 6997 -> LB 0.701, and the rest is not very stable, so I don't think I will disclose it for now.", "votes": null }, { "id": "2265463", "postDate": "05/19/2023 09:00:01", "content": "

Were gain and split averaged over all folds for feature selection?

", "rawMarkdown": "Were gain and split averaged over all folds for feature selection?", "votes": null }, { "id": "2265580", "postDate": "05/19/2023 11:02:01", "content": "

yes, but it seem to have some cv leak issue.

", "rawMarkdown": "yes, but it seem to have some cv leak issue.", "votes": null }, { "id": "2265605", "postDate": "05/19/2023 11:27:01", "content": "

However you told it improved both CV and lb

", "rawMarkdown": "However you told it improved both CV and lb", "votes": null }, { "id": "2265614", "postDate": "05/19/2023 11:36:11", "content": "

yes, but after I used same strategy to select features, I got cv increasing but lb was decreasing.
\nI'm doing more research on this issue.

", "rawMarkdown": "yes, but after I used same strategy to select features, I got cv increasing but lb was decreasing.\nI'm doing more research on this issue.", "votes": null }, { "id": "2265640", "postDate": "05/19/2023 11:57:23", "content": "

Thank you for your comment.

\n

I selected features using feature importance for each fold individually and cv did not improve.

", "rawMarkdown": "Thank you for your comment.\n\nI selected features using feature importance for each fold individually and cv did not improve.", "votes": null } ], "comments": [ { "id": 2263841, "author_name": "jimmyliao86204", "author_url": "", "post_date": "05/18/2023 00:59:31", "content": "

Hi, I try very hard in my local environment. After tuning the cv over 0.701 then make a submission.

\n

My effort foucs on feature engineering and feature selection, training a model base on GBDT(in my case, I use lightGBM) with a little manual hyperparamter tuning .

\n

In my case, feature selection is most important, boost about 0.3%(cv 0.6995->0.7013, lb 0.700->0.702).

", "votes": null, "replies": [ { "id": 2263971, "author_name": "lehuynhduc", "author_url": "", "post_date": "05/18/2023 04:03:16", "content": "

how to use feature selection? can you share a bit? Thank you

", "votes": null, "replies": [ { "id": 2264008, "author_name": "jimmyliao86204", "author_url": "", "post_date": "05/18/2023 05:01:34", "content": "

training model on every fold, then select feature by its gain, split, and correlation between other feature

", "votes": null, "replies": [ { "id": 2265463, "author_name": "yurimaeda", "author_url": "", "post_date": "05/19/2023 09:00:01", "content": "

Were gain and split averaged over all folds for feature selection?

", "votes": null, "replies": [ { "id": 2265580, "author_name": "jimmyliao86204", "author_url": "", "post_date": "05/19/2023 11:02:01", "content": "

yes, but it seem to have some cv leak issue.

", "votes": null, "replies": [ { "id": 2265605, "author_name": "kvlmll", "author_url": "", "post_date": "05/19/2023 11:27:01", "content": "

However you told it improved both CV and lb

", "votes": null, "replies": [ { "id": 2265614, "author_name": "jimmyliao86204", "author_url": "", "post_date": "05/19/2023 11:36:11", "content": "

yes, but after I used same strategy to select features, I got cv increasing but lb was decreasing.
\nI'm doing more research on this issue.

", "votes": null, "replies": [ { "id": 2265640, "author_name": "yurimaeda", "author_url": "", "post_date": "05/19/2023 11:57:23", "content": "

Thank you for your comment.

\n

I selected features using feature importance for each fold individually and cv did not improve.

", "votes": null, "replies": [] } ] } ] } ] } ] } ] } ] } ] }, { "id": 2264187, "author_name": "woprime", "author_url": "", "post_date": "05/18/2023 08:31:13", "content": "

Feature engineering gets me to CV 0. 6997 -> LB 0.701, and the rest is not very stable, so I don't think I will disclose it for now.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2263567": "72 teams improved their scores during the five days. Excellent. Will all teams describe ideas that they don't plan to keep secret? How do you improve your score?\n\n\n| TeamName | Score, 17 may 2023 | Score, 13 may 2023 | +Up 5 day Score | Lessons | \n| --- | --- | --- | --- |--- |\n| Alvor & Remek @allvor @remekkinas | 0,703 | 0,702 | 0,001 | https://www.kaggle.com/competitions/tensorflow-great-barrier-reef/discussion/297863 | \n| SEAL SOUL\t@godofpdog @jimmyliao86204 | 0,702 | \t0,7\t| \t0,002\t| https://www.kaggle.com/competitions/feedback-prize-english-language-learning/discussion/369770 | \n| N o i c e\t@woprime | \t0,702\t| 0,701 | 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/399802#2261926 | \n| | | | |https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/409497#2256024 | \n| jojo_wilder\t@flowlight @qhapaq49 @charmq | \t0,702\t| \t0,698\t| 0,004 | https://www.kaggle.com/code/flowlight/kaggle-book-gokui-chapter5-lightgbm | \n| | | | |https://www.kaggle.com/competitions/ranzcr-clip-catheter-line-classification/discussion/228775| \n| \tLittleStar @littlstar123\t| \t0,701\t| \t0,7\t| 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/403687#2241556 | \n| \tiykyk🫡 @mrhantato\t| \t0,701\t| \t0,7\t| 0,001 | https://www.kaggle.com/competitions/predict-student-performance-from-game-play/discussion/405460 | \n| \tACI @m4nales @andr3ypak @iliavasilev @bonjouratous\t| \t0,7\t| \t0,699\t| 0,001 | https://www.kaggle.com/code/abaojiang/lb-0-694-event-aware-tconv-with-only-4-features | \n| \tOccccn @occccn\t| \t0,7\t| \t0,699\t| 0,001 | | \n| \tT-KAWA @ta6ka4shi\t| \t0,699\t| \t0,698\t| 0,001 | | \n| \txiaobenla @xiaobenla\t| \t0,698\t| \t0,695\t| 0,003 | | \n| \tbulivington @bulivington\t| \t0,697\t| \t0,692\t| 0,005 | | \n| \tkglctf @kglctf\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \terror @errorfunc\t| \t0,697\t| \t0,688\t| \t0,009\t| | \n| \tPatrick Yam @kingychiu @wimwim @tangtunyu\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tCherish Chen @cherishchenchersih\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tTheLimitDoesNotExist @krabhijeet @abhishekmle\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tJiawen9 @jiawen9\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tkdkca @ainjhamn526 @schwalbe10 @chiaki800 @david012345 @kaneda05\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \ttty @ttytest\t| \t0,697\t| \t0,673\t| \t0,024\t| | \n| \tsenfweow @senfweow\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tJingqi Chen @jingqichen\t| \t0,697\t| \t0,693\t| \t0,004\t| | \n| \tZhang Jiexi @zhangjiexi @nickyoung37\t| \t0,697\t| \t0,694\t| \t0,003\t| | \n| \tSuraj Dengale @surajdengale\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \t408Lab lzy990109 @baiyucraft @cristozhang\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tRRE @plut0n @rustemx\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tIvan Isaev @ivanisaev\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \t弓长洪洋\t@luchun123 | \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tYutaka Sawai @ysawai\t| \t0,697\t| \t0,659\t| \t0,038\t| | \n| \tYining Tan @yiningtan\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tcharliechaplin00 @charliechaplin00\t| \t0,697\t| \t0,696\t| \t0,001\t| | \n| \tZeyu Zhang @zeyuzhang131\t| \t0,697\t| \t0,695\t| \t0,002\t| | \n| \tAleron @aleron751\t| \t0,696\t| \t0,683\t| \t0,013\t| | \n| \tGabriel Figueiro @gabrielfigueiro\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tMLE @davero @volkersommerfeld\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tJan333 @jan333\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tflamepurple @flamepurple\t| \t0,696\t| \t0,695\t| \t0,001\t| | \n| \tEthanlam0415 @ethanlam0415 @clyde890202\t| \t0,695\t| \t0,678\t| \t0,017\t| | \n| \tYihao Qiao @yihaoqiao\t| \t0,695\t| \t0,687\t| \t0,008\t| | \n| \tItsunori @itsunori\t| \t0,695\t| \t0,677\t| \t0,018\t| | \n| \tHellsegamosken @hellsegamosken\t| \t0,695\t| \t0,672\t| \t0,023\t| | \n| \tMujieZhao @mujiezhao\t| \t0,695\t| \t0,677\t| \t0,018\t| | \n| \ttonic @jinmiyashita\t| \t0,695\t| \t0,694\t| \t0,001\t| | \n| \tigjit @igjit1\t| \t0,694\t| \t0,693\t| \t0,001\t| | \n| \tKei Miyamae @kei96kag\t| \t0,694\t| \t0,693\t| \t0,001\t| | \n| \tpayanotty @payanotty @tatsuokoshida @yumutabuchi @tsuwa25\t| \t0,693\t| \t0,691\t| \t0,002\t| | \n| \tRyusuke Murata @pongen\t| \t0,693\t| \t0,642\t| \t0,051\t| | \n| \tGlipko @glipko @oreehovich3 @polyakovstepan\t| \t0,691\t| \t0,688\t| \t0,003\t| | \n| \tpao @yoichi7yamakawa @go5kuramubon\t| \t0,688\t| \t0,68\t| \t0,008\t| | \n| \tmejlik @mejlik\t| \t0,688\t| \t0,677\t| \t0,011\t| | \n| \tFelixEmon @felixemon\t| \t0,687\t| \t0,673\t| \t0,014\t| | \n| \thanaori @hanaori\t| \t0,686\t| \t0,682\t| \t0,004\t| | \n| \tKUNIHIRO TABATA @kunihirotabata\t| \t0,685\t| \t0,653\t| \t0,032\t| | \n| \tMohammad Mohsin789 @mohammadmohsin789\t| \t0,681\t| \t0,678\t| \t0,003\t| | \n| \tSulBing @wzntkhj @greenare @eomhojeong @jhyun505\t| \t0,681\t| \t0,679\t| \t0,002\t| | \n| \tIlya Ivanitskiy @ivanitskiy\t| \t0,68\t| \t0,672\t| \t0,008\t| | \n| \tY.Tani @otosan\t| \t0,68\t| \t0,673\t| \t0,007\t| | \n| \tThe Stags @killiyun @harrynelson @rudramutalik @owenmawbey @kanishkg16\t| \t0,68\t| \t0,672\t| \t0,008\t| | \n| \tMrSplashMan @miltiadesgeneral @mrsplashman\t| \t0,68\t| \t0,673\t| \t0,007\t| | \n| \tkiaz9u @kiaz9u\t| \t0,679\t| \t0,678\t| \t0,001\t| | \n| \tMichael @samuelcd\t| \t0,679\t| \t0,677\t| \t0,002\t| | \n| \tTevfik Aytekin @tevfikaytekin\t| \t0,678\t| \t0,677\t| \t0,001\t| | \n| \tProject Hunter @thedeafone @evandreher @noyuman\t| \t0,678\t| \t0,677\t| \t0,001\t| | \n| \tMunavar @munavar\t| \t0,677\t| \t0,672\t| \t0,005\t| | \n| \tRadhikaB6 @radhikab6\t| \t0,676\t| \t0,673\t| \t0,003\t| | \n| \tQuvotha @tomokikmogura\t| \t0,659\t| \t0,642\t| \t0,017\t| | \n| \tm_furu @miyafuru\t| \t0,659\t| \t0,645\t| \t0,014\t| | \n| \tmasaru3n @masaru3n\t| \t0,655\t| \t0,615\t| \t0,04\t| | \n| \tHayden LaBrie @haydenlabrie\t| \t0,633\t| \t0,214\t| \t0,419\t| | \n| \tIori WATANABE @iori76sushi\t| \t0,613\t| \t0,607\t| \t0,006\t| | \n| \tkitayama @kkityama\t| \t0,605\t| \t0,603\t| \t0,002\t| | \n| \tiitm21f2000493 @iitm21f2000493\t| \t0,6\t| \t0,533\t| \t0,067\t| |", "2263841": "Hi, I try very hard in my local environment. After tuning the cv over 0.701 then make a submission.\n\nMy effort foucs on **feature engineering** and **feature selection**, training a model base on GBDT(in my case, I use lightGBM) with a little manual hyperparamter tuning .\n\nIn my case, **feature selection** is most important, boost about 0.3%(cv 0.6995->0.7013, lb 0.700->0.702).", "2263971": "how to use feature selection? can you share a bit? Thank you", "2264008": "training model on every fold, then select feature by its gain, split, and correlation between other feature", "2264187": "Feature engineering gets me to CV 0. 6997 -> LB 0.701, and the rest is not very stable, so I don't think I will disclose it for now.", "2265463": "Were gain and split averaged over all folds for feature selection?", "2265580": "yes, but it seem to have some cv leak issue.", "2265605": "However you told it improved both CV and lb", "2265614": "yes, but after I used same strategy to select features, I got cv increasing but lb was decreasing.\nI'm doing more research on this issue.", "2265640": "Thank you for your comment.\n\nI selected features using feature importance for each fold individually and cv did not improve." }, "source": "meta" }