Comments (5)
luthfianto
commented on June 19, 2024
Solusi DMC 2015:
- https://github.com/imouzon/dmc2015/tree/master/presentation
- - https://github.com/imouzon/dmc2015/raw/master/presentation/Iowa%20State%20Team%201.pdf (27 MB)
- - https://github.com/imouzon/dmc2015/raw/master/presentation/Iowa%20State%20Team%202.pdf (14 MB)
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luthfianto
commented on June 19, 2024
DMC 2015: Ipynb & Analisis iyus
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luthfianto
commented on June 19, 2024
LinearRegression (tapi terus outputnya dibulatkan dengan round()) itu ampuh lho. Tapi nggak semua orang harus LinearRegression, karena yang dicari di ensemble justru perbedaannya
Tapi buat eksplorasi, pake LinearRegression aja dibanding RandomForestRegressor, lebih cepet
Mungkin feature_importances_ RandomForestRegressor dipakai nanti aja pas reduksi fitur
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luthfianto
commented on June 19, 2024
OOT: biar enak browsing Github, jangan lupa pakai OctoTree ya https://chrome.google.com/webstore/detail/octotree/bkhaagjahfmjljalopjnoealnfndnagc
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luthfianto
commented on June 19, 2024
Fitur-fitur dari Tim DMC 2014 Iowa State Uni bagus nih untuk referensi tambahan, casenya mirip kan. https://github.com/xydrolase/dmc-2014/blob/master/featgen%2Ffeat_gen.R#L109
Contoh fitur:
- nlowprice.by.cid
- nlowdisc.by.cid
- ndeal.by.cid
- norder.by.cid
- nreturn.by.cid
- totalspend.by.cid
- meanspend.by.cid
- nonreturnspend.by.cid
- returnspend.by.cid
yang meanspend.by.cid kalau di kita udah, namanya customer_budget. yang lainnya boleh lah dicoba-coba
Ada juga solusi dari tim peringkat 4, belum terlalu kulihat: https://github.com/fhirschmann/ml_dmc2014
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