Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
DSB.pdf
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
yujiariyasu
March 10, 2020
Programming
37k
1
Share
Embed
Copy iframe code
Copy JS code
Copy link
Start on current slide
DSB.pdf
yujiariyasu
March 10, 2020
Other Decks in Programming
See All in Programming
霧の中の代数的エフェクト
funnyycat
1
340
AI駆動開発を妨げる技術的負債の解消アプローチ / ai-refactoring-approach
minodriven
17
8.9k
エンジニア向け会社紹介/Findy Company Profile
findyinc
6
360k
SLOをサービス品質の共通言語にするために 取り組んできたこと
wakana0222
0
480
【SRE NEXT 2026 Lunch Session】一人目専任SREの立ち上げを加速する ― AIと進めたオンボーディングで2分を0.04秒にした話
pkshadeck
PRO
0
2.3k
そのテスト、説明できますか?~LWテスト戦略FW~のご紹介
nakahara
0
200
Observability in Practice:Grafana 與 Edge Device SRE 的那些事
blueswen
0
190
Mujeres en SEO Summit 2026 - Greatest Disaster Hits en Web Performance
guaca
0
240
その問い、本当に正しいですか?AI時代のエンジニアに必要な哲学と認知科学 / ai-philosophy-cognitive-science
minodriven
14
6.8k
言語を使う側から、作る側へ。 自作 Lisp で得た新たな気づき。
andpad
0
110
Claude Team Plan導入・ガイド
tk3fftk
0
170
「なぜそう決めたのか」を残し続ける仕組み ― Notion AI カスタムエージェント × Slack連携による設計判断の自動記録 - NIKKEI Tech Talk #47
niftycorp
PRO
0
260
Featured
See All Featured
How Software Deployment tools have changed in the past 20 years
geshan
0
34k
Building the Perfect Custom Keyboard
takai
2
810
The browser strikes back
jonoalderson
0
1.4k
Why Your Marketing Sucks and What You Can Do About It - Sophie Logan
marketingsoph
0
230
Connecting the Dots Between Site Speed, User Experience & Your Business [WebExpo 2025]
tammyeverts
11
970
Designing for humans not robots
tammielis
254
26k
Automating Front-end Workflow
addyosmani
1370
210k
Become a Pro
speakerdeck
PRO
31
6k
WCS-LA-2024
lcolladotor
0
680
Skip the Path - Find Your Career Trail
mkilby
1
160
HTML-Aware ERB: The Path to Reactive Rendering @ RubyCon 2026, Rimini, Italy
marcoroth
2
320
The Spectacular Lies of Maps
axbom
PRO
1
850
Transcript
DSB 51st solution
❍Agenda 1. ࣗݾհ 2. ࢀՃελϯεʹ͍ͭͯ 3. ԿΛ͔ͨ͠ 4. ࠷ऴతͳղ๏ 5.
ল 6. ࠓޙ
❍ࣗݾհ ɾtwitter: aryyyyy ɾWebܥΤϯδχΞɻGoͱRuby ɾΤϯδχΞͷલόϯυϚϯͯ͠·ͨ͠ ɾCourseraଞͰ3ϲ݄΄Ͳษڧͯ͠kaggleೖ ɾͪΌΜͱࢀՃͨ͠ͷDSB͕ॳ(େมͩͬͨʂ) ɾ1݄͔Βٳ৬ͯ͠1000࣌ؒษڧ͔ͯ͠Βɺ ػցֶशΤϯδχΞʹJobνΣϯδ༧ఆ
❍ࢀՃελϯεʹ͍ͭͯ ɾΛୈҰʹߟ͑Δ → ͋Μ·ΓΤά͍probingʹ࣌ؒΛΘͳ͍ ɾkernelͲΜͲΜύΫΔɻ →kernelͱmerge͍͢͠Α͏ʹɺૄ݁߹ͳίʔυΛॻ͘ ɾίʔυͷࢿ࢈ஷΊͳ͍ → ࠷ॳͷ͏ͪຖճεΫϥον͍ͨ͠ ɾಛྔ࡞Γͷ࿅शΛ͢Δ
→ pandasʹ׳ΕΔͨΊʹಛʹؤுΓ͔ͨͬͨɻ
❍ԿΛ͔ͨ͠ • ͱΓ͋͑ͣEDA • υϝΠϯࣝೖΕΔ • KernelͱDiscussionͷΞΠσΞجຊશ෦ࢼ͢ • Kaggleຊʹॻ͍ͯ͋Δ͜ͱશ෦ࢼ͢ •
ࡉ͔͍σʔλΛ͘·ͳ͘ݟΔ(۩ମతͳΓํޙड़) • ࿅श݉Ͷͯͱʹ͔͘ࢁಛྔ࡞Δ(3000ݸҎ্) • Feature Selection • CVઓུ • Data Augmentation(test શ෦͏ͷͱɺtrainͷpan balance͏ͷ ͷΈࢼͨ͠)
❍ࡉ͔͍σʔλΛ͘·ͳ͘ݟΔ ྫ͑ɺ࣮ࡍʹήʔϜΛϓϨΠͭͭ͠ɺҎԼΛӈʹεΫϩʔϧ͍ͯ͘͠ɻ ԿਓΔͱɺ৭Μͳύλʔϯ͕ݟ͑ͯ͘ΔͱڞʹɺมΘͬͨߦಈΛऔΔࢠݟ͑ͯ͘Δɻ ͦͷลΓΛಛྔʹམͱ͠ࠐΜͩɻ
❍ಛྔʹ͍ͭͯ • ಉλΠτϧʹؔ͢ΔɺͲΕ͘Β͍લʹϓϨΠ͔ͨ͠ɺϨίʔυͳͲͳͲɻͨ͘͞Μ • ͦͷଞήʔϜλΠτϧ(23ݸ͘Β͍)ʹ্هΛద༻ • Worldબεϐʔυ • 'type', ‘event_code'ͳͲͳͲͷϢχʔΫ
• clipΛεΩοϓ͢Δࢠ͔Ͳ͏͔ɺͲΕ͘Β͍ͷׂ߹ݟ͔ͨ • happycamel, scrubadub, bubble_bathͳͲɺΫϦΞʹஈ֊͕͋Δͷɺқ͕૿͍ͯ͠ ͘ͷʹؔͯ͠ɺͲ͜·ͰΫϦΞ͔ͨ͠ɺͦΕͧΕͷਖ਼ղͷׂ߹ͳͲ • level, round, missͳͲʹؔͯ͠ • installޙɺ࠷ॳʹ๚ΕͨλΠτϧɻԦಓͷ3λΠτϧ͔൱͔ͳͲɻੜޙtarget encodingɻ • Ұ൪࠷ۙ๚ΕͨgameͷλΠτϧʹؔ͢Δͷ • ಉ࣌ؒ͡ଳʹߜͬͯ৭ʑͳಛΛ(ͱͷ۠ผΛ͔ͨͬͨ͠) • ্هͷதͰॏཁͦ͏ͳͷweightedੜ • ΫϥελϦϯά(ͲͷΫϥελʹଐ͔͢ɺΫϥελͷॏ৺͔Βͷڑ) • ্هͷ2~3000ఔͷಛͷத͔Βॏཁͦ͏ͳͷΛֻ͚߹ΘͤΔɻ10ສҎ্ੜ
❍࠷ऴతͳղ๏1 ʲfeatureʳ ɾͦͷޙGCPͰɺ800ݸఔΛϥϯμϜͰબΜͰ10ճͷฏۉCVΛܭࢉ͢Δ͜ͱΛઍ ճ΄Ͳ܁Γฦͯ͠ɺ1൪͍͍800ݸͷΈ߹ΘͤΛ୳ͨ͠ɻ໌Β͔ʹѱ͍Έ߹Θͤ ࢬΓ͢ΔͳͲͨ͠ɻfeature selectionͷࡍCVtruncatedͳͷΛ༻ɻ ɾ500ݸɺ300ݸͰಉ༷ʹͯ͠ɺ࠷ޙʹࠞͥͨɻͱʹ͔͘ಛྔબ͕͏·͍͔͘ ͳ͔ͬͨΑ͏ʹײ͍ͯͨ͡ͷͰɺۤͷࡦͰଟ༷ੑΛ࣋ͨͤͨɻ(݁ہҙຯແ͠ɻ 800ݸ͚ͩͩͱTOP1%ͩͬͨ) ʲvalidationʳ
ɾCVStratified Group KFoldɻ ɾ࠷ऴతͳֶशͷࡍCVtruncateͤͣɻPLBܹ͘͠Լ͕ͬͨͷͰɻ(truncateͨ͠ํ ͕privateྑ͔ͬͨ)
❍࠷ऴతͳղ๏2 ʲmodelʳ ɾLightGBMͱXgboostͱNNΛγϯϓϧͳΞϯαϯϒϧɻ6:2:2 ͰࠞͥͨɻLightGBMͱXgboostಉ͡ಛྔɻNNkernelʹগ ͠ಛྔ͚ͨͩ͠ͷͷɻNN୯ମͩͱPLB0.520͘Β͍ɻࠞ ͥΔ͔໎͕ͬͨɺPLBͷ্͕͋ͬͨͷͰ2ׂ͚ͩೖΕͨɻ ʲthresholdsʳ ɾᮢશ͘Θ͔Βͳ͔ͬͨͷͰɺ2αϒ͜͜Ͱͬͨɻkernel Ͱྲྀߦ͍ͬͯͨɺʹै͏ͷͱoptimizerͰܭࢉ͢Δͷɻ optimizerͰܭࢉ͢Δͷ͕ྑ͔͕ͬͨɺ͋·Γࠩͳ͔ͬͨɻ
❍ল ɾςετॻ͍ͨํָ͕͔ͩͬͨ → 1ϲ݄Ҏ্ͱ͔ίϛοτ͢ΔΜͩͬͨΒɺςετॻ͍ͨํ͕݁ہ࣌ؒॖʹͳΓͦ͏ ɾத్ʹprobingͯ͠AugumentationࣙΊͯ͠·ͬͨ → private testΛͨ͠CVΛprobͨ͠ΒԼ͕͍ͬͯͨͷͰࣙΊ͕ͨɺ͠ํͷ͕ॆͰͳ͔ͬͨ ɾ৭ΜͳཤྺΛϑΝΠϧͰ͓͚ͯ͠Α͔ͬͨ →
ΈΜͳͬͯ·͢ʁ001_features.pyΈ͍ͨͳͭͱ͔࣮ݧ݁ՌͷཤྺͷςΩετ͢ͱ͔… ɾPLBʹৼΓճ͞Εͯ͠·ͬͨɻ(DiscussionνʔϜϚʔδͰ݁ߏΈΜͳPLBॏཁࢹ͍ͯͨ͠ͷͰ…) → DiscussionͰɺڧ͍ਓPLBͯʹͳΒͳ͍ͱݴ͍ͬͯΔ͕͋ͬͨΑ͏ʹࢥ͏ɻؒҧͬͨҙݟ ͋Δͱೝ͖ࣝͩͬͨ͢ ɾFeature Selection͕ͱʹ͔͘͏·͍͔͘ͳ͔ͬͨ(Α͏ʹݟ͑ͨ) →͜ΕPLBΛաʹࢀߟʹͯ͠͠·ͬͨͨΊɻࢀߟʹͳΒͳ͍ίϯϖ͋Δͱͬͨ →late subʹΑΔͱɺී௨ʹfeature importanceͰ͍͍͠ɺnull importanceྑ͔ͬͨɻpermutation importanceͪΐͬͱඍົ ɾ్த͔Βfast sub͍͗ͯ͢privateͷscore͕0ͷ͔ͬΓʹͳͬͯ͠·ͬͨɺ෮श·Ͱߟ͑Δ͖ͩͬ ͨ ɾਫ਼্͕Βͳͯ͘࠷ޙͷ1ϲ݄μϨͯ͠·ͬͨ
❍ࠓޙ ɾجຊతʹग़ΔίϯϖશͯۚϝμϧΛࢦ ͢ɻ ɾ౷ܭͳͲɺجૅͷษڧͯ͠ɺػցֶशશ ൠʹରͯ͠ɺΑΓਂ͍ཧղΛ͍͖͍ͯͨ͠ɻ ɾνʔϜΜͩΒҰॹʹؤுΓ·͠ΐ͏ʂʂ