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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]
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
trial
leaderboard score
mean_test_score range
methods
enhancements
risk factors
first
0.7414
[0.8155646137103894, 0.8405262288166918]
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
trial
leaderboard score
mean_test_score range
methods
enhancements
risk factors
first
0.82228
[0.8143818213236, 0.8378704798916512]
2nd
0.82112
[0.8108258730013777, 0.8343312946671672]
Fixed random-seed Posisions not dealt yet
trial
leaderboard score
mean_test_score range
methods
enhancements
risk factors
first
none
[0.8194123877265943, 0.8471953322311949]
'PCA' Original Performance Features
Fixed random-seed Fixed random-seed
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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