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gci_comp2

lr_1

trial leaderboard score mean_test_score range methods enhancements risk factors
first none [0.7560251107332626, 0.8487296175661827]
  • binary data
  • Fixed random-seed
2nd 0.83632 [0.8232710910203984, 0.8292329960963716]

lr_2

trial leaderboard score mean_test_score range methods enhancements risk factors
first 0.83436 [0.8211198301324935, 0.8217182306547166] utilized featuretools colinearity
2nd 0.83886 [0.8236058063753948, 0.8244222875242858] edited features a bit

lgbm_1

trial leaderboard score mean_test_score range methods enhancements risk factors
first 0.7414 [0.8155646137103894, 0.8405262288166918]
  • RandomizedSearch
first penguin
  • binary data
  • Fixed random-seed
2nd 0.82076 [0.8102308906906751, 0.8369396440300674]
  • probability data
  • 'NaNCount'
  • Fixed random-seed
  • filled all nan with median

lgbm_2

trial leaderboard score mean_test_score range methods enhancements risk factors
first 0.82228 [0.8143818213236, 0.8378704798916512]
  • RandomizedSearch
  • 'nanAge'
  • 'nanPfmCount'
  • Fixed random-seed
2nd 0.82112 [0.8108258730013777, 0.8343312946671672]
  • RandomizedSearch
  • removed 'Weight'
  • Fixed random-seed
  • Posisions not dealt yet

lgbm_3

trial leaderboard score mean_test_score range methods enhancements risk factors
first none [0.8194123877265943, 0.8471953322311949]
  • RandomizedSearch
  • 'PCA'
  • Original Performance Features
  • Fixed random-seed
  • Fixed random-seed

rfc_1

trial leaderboard score mean_test_score range methods enhancements risk factors
first 0.82381 [0.7298218794407456, 0.8315620891442024] utilized featuretools colinearity

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Jupyter notebooks from GCI competition 2 hosted by Matsuo Iwasawa Lab

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