6021403
1
Jan van Rijn
3950
Supervised Classification
predictive_accuracy
6969
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1)
4056088
bootstrap
true
6902
class_weight
null
6902
criterion
"entropy"
6902
max_depth
null
6902
max_features
0.8790420927816791
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
13
6902
min_samples_split
19
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
100
6902
n_jobs
1
6902
oob_score
false
6902
random_state
40113
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
openml-pimp
openml-python
Sklearn_0.18.1.
1116
musk
https://www.openml.org/data/download/53999/musk.arff
-1
12965927
description
https://api.openml.org/data/download/12965927/description.xml
-1
12965928
predictions
https://api.openml.org/data/download/12965928/predictions.arff
area_under_roc_curve
0.9984393601200307 [0.998439,0.998439]
average_cost
0
f_measure
0.986097143023772 [0.991876,0.954386]
kappa
0.946265347790779
kb_relative_information_score
5673.654262863859
mean_absolute_error
0.03702286433676236
mean_prior_absolute_error
0.26083092213436454
number_of_instances
6598 [5581,1017]
precision
0.9861191660805863 [0.988434,0.973415]
predictive_accuracy
0.9862079418005456
prior_entropy
0.6203559250859288
recall
0.9862079418005456 [0.995341,0.936087]
relative_absolute_error
0.1419420060850392
root_mean_prior_squared_error
0.36108063272361846
root_mean_squared_error
0.10986488558273239
root_relative_squared_error
0.3042669022540075
total_cost
0
area_under_roc_curve
0.9986007545298359 [0.998601,0.998601]
area_under_roc_curve
0.9971537001897534 [0.997154,0.997154]
area_under_roc_curve
0.9993499191791412 [0.99935,0.99935]
area_under_roc_curve
0.9988931056293485 [0.998893,0.998893]
area_under_roc_curve
0.99913908215616 [0.999139,0.999139]
area_under_roc_curve
0.9974699557242253 [0.99747,0.99747]
area_under_roc_curve
0.996767165647621 [0.996767,0.996767]
area_under_roc_curve
0.9981551760489141 [0.998155,0.998155]
area_under_roc_curve
0.9993257390255155 [0.999326,0.999326]
area_under_roc_curve
0.9990773270875476 [0.999077,0.999077]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.9892829557148752 [0.993767,0.964467]
f_measure
0.978335367000654 [0.987567,0.927835]
f_measure
0.9938896103896104 [0.996429,0.98]
f_measure
0.9877275428077567 [0.99287,0.959596]
f_measure
0.9863907808258676 [0.991928,0.956098]
f_measure
0.9784304663308224 [0.987544,0.928571]
f_measure
0.9741905117387475 [0.984781,0.916256]
f_measure
0.9939393939393939 [0.996416,0.980392]
f_measure
0.9923333823696536 [0.99554,0.974619]
f_measure
0.9863150843527514 [0.991943,0.955224]
kappa
0.9582384206529992
kappa
0.9154403689874807
kappa
0.9764302549817868
kappa
0.9524735364009507
kappa
0.9480260394792103
kappa
0.9161402744500108
kappa
0.9010372565622354
kappa
0.9768079274720639
kappa
0.9701623638289973
kappa
0.9471668195868483
kb_relative_information_score
563.3541981547716
kb_relative_information_score
547.294319926898
kb_relative_information_score
576.1067833842992
kb_relative_information_score
589.9678306743483
kb_relative_information_score
577.7030152683994
kb_relative_information_score
552.6894749483102
kb_relative_information_score
543.7760751411957
kb_relative_information_score
579.7907117749742
kb_relative_information_score
570.4512619772632
kb_relative_information_score
572.5205916135305
mean_absolute_error
0.03812101689736882
mean_absolute_error
0.04387804816527653
mean_absolute_error
0.034785831860705156
mean_absolute_error
0.029703058148493913
mean_absolute_error
0.033751218333876856
mean_absolute_error
0.043542545864419996
mean_absolute_error
0.0436047588972427
mean_absolute_error
0.03235818070065819
mean_absolute_error
0.03555844943385921
mean_absolute_error
0.03492013029459143
mean_prior_absolute_error
0.2600651974288342
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.26111294765840265
mean_prior_absolute_error
0.2602257782682673
mean_prior_absolute_error
0.2602257782682673
number_of_instances
660 [559,101]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
660 [558,102]
number_of_instances
659 [558,101]
number_of_instances
659 [558,101]
precision
0.9893956184182249 [0.989362,0.989583]
precision
0.9787786004564938 [0.978873,0.978261]
precision
0.9939825299255904 [0.992883,1]
precision
0.9878969213410702 [0.987589,0.989583]
precision
0.9864263066072342 [0.992819,0.951456]
precision
0.978636602852827 [0.980565,0.968085]
precision
0.9741468064516647 [0.9839,0.920792]
precision
0.9939393939393939 [0.996416,0.980392]
precision
0.9924801289428786 [0.991119,1]
precision
0.9862958187311508 [0.991055,0.96]
predictive_accuracy
0.9893939393939394
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.9878787878787878
predictive_accuracy
0.9863636363636364
predictive_accuracy
0.9787878787878788
predictive_accuracy
0.9742424242424242
predictive_accuracy
0.9939393939393939
predictive_accuracy
0.992412746585736
predictive_accuracy
0.9863429438543246
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
prior_entropy
0.6203559250859288
recall
0.9893939393939394 [0.998211,0.940594]
recall
0.9787878787878788 [0.996416,0.882353]
recall
0.9939393939393939 [1,0.960784]
recall
0.9878787878787879 [0.998208,0.931373]
recall
0.9863636363636363 [0.991039,0.960784]
recall
0.9787878787878788 [0.994624,0.892157]
recall
0.9742424242424242 [0.985663,0.911765]
recall
0.9939393939393939 [0.996416,0.980392]
recall
0.992412746585736 [1,0.950495]
recall
0.9863429438543247 [0.992832,0.950495]
relative_absolute_error
0.14658253881817646
relative_absolute_error
0.1680424067774662
relative_absolute_error
0.1332213977616048
relative_absolute_error
0.11375559279945215
relative_absolute_error
0.12925907595371874
relative_absolute_error
0.1667575133860613
relative_absolute_error
0.1669957743891276
relative_absolute_error
0.12392407573365656
relative_absolute_error
0.13664460788816213
relative_absolute_error
0.13419166435768015
root_mean_prior_squared_error
0.360018747598774
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.36147095160214215
root_mean_prior_squared_error
0.3602416958959955
root_mean_prior_squared_error
0.3602416958959955
root_mean_squared_error
0.11365690784241399
root_mean_squared_error
0.12692946702071048
root_mean_squared_error
0.09772298514652851
root_mean_squared_error
0.09992878866000718
root_mean_squared_error
0.10257198933368268
root_mean_squared_error
0.12502407567601492
root_mean_squared_error
0.12796184779865355
root_mean_squared_error
0.09775353798021973
root_mean_squared_error
0.09894326802251228
root_mean_squared_error
0.10129370599963082
root_relative_squared_error
0.31569719243921124
root_relative_squared_error
0.3511470740819503
root_relative_squared_error
0.27034810048606234
root_relative_squared_error
0.2764503986201224
root_relative_squared_error
0.28376274463841267
root_relative_squared_error
0.3458758584109529
root_relative_squared_error
0.3540031286926106
root_relative_squared_error
0.27043262410699453
root_relative_squared_error
0.2746580119672709
root_relative_squared_error
0.2811826258692583
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
36425.077428000805
usercpu_time_millis
35164.217444000315
usercpu_time_millis
34143.54037500016
usercpu_time_millis
35735.50511299982
usercpu_time_millis
35031.077034999726
usercpu_time_millis
35367.49052399955
usercpu_time_millis
33736.18336299933
usercpu_time_millis
33714.16351000062
usercpu_time_millis
35422.82605499986
usercpu_time_millis
33963.42432399979
usercpu_time_millis_testing
31.686623000496184
usercpu_time_millis_testing
32.73806299966964
usercpu_time_millis_testing
33.0389840000862
usercpu_time_millis_testing
31.6496619998361
usercpu_time_millis_testing
32.43758299959154
usercpu_time_millis_testing
31.92453999963618
usercpu_time_millis_testing
32.74121499998728
usercpu_time_millis_testing
32.49264500027493
usercpu_time_millis_testing
31.890027999907034
usercpu_time_millis_testing
32.96974499971839
usercpu_time_millis_training
36393.39080500031
usercpu_time_millis_training
35131.479381000645
usercpu_time_millis_training
34110.50139100007
usercpu_time_millis_training
35703.85545099998
usercpu_time_millis_training
34998.639452000134
usercpu_time_millis_training
35335.56598399991
usercpu_time_millis_training
33703.44214799934
usercpu_time_millis_training
33681.67086500034
usercpu_time_millis_training
35390.93602699995
usercpu_time_millis_training
33930.45457900007