10226859
1
Jan van Rijn
9979
Supervised Classification
9666
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(4)
8152291
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
5.575297539024844e-05
9667
loss
"deviance"
9667
max_depth
12
9667
max_features
0.5737272286966839
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.11923990277544161
9667
min_impurity_split
null
9667
min_samples_leaf
7
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.04869830453377266
9667
n_estimators
1536
9667
n_iter_no_change
495
9667
presort
"auto"
9667
random_state
7884
9667
subsample
0.9665491142259344
9667
tol
0.07401657732727954
9667
validation_fraction
0.7692123397159347
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1466
cardiotocography
https://www.openml.org/data/download/1586231/php9HX2u8
-1
21374634
description
https://api.openml.org/data/download/21374634/description.xml
-1
21374635
predictions
https://api.openml.org/data/download/21374635/predictions.arff
area_under_roc_curve
0.5537797698659295 [1,0.224747,0.698341,0.740922,0.919689,0.29619,0.445963,0.838414,0.697815,0.768455]
average_cost
0
f_measure
0.18342795316003319 [1,0,0.112601,0,0,0,0,0,0,0]
kappa
0.11419814736976258
kb_relative_information_score
100.03338200992187
mean_absolute_error
0.17857641944735134
mean_prior_absolute_error
0.16793207690762982
number_of_instances
2126 [384,579,53,81,72,332,252,107,69,197]
precision
0.18213175974229595 [1,0,0.060606,0,0,0,0,0,0,0]
predictive_accuracy
0.20037629350893696
prior_entropy
2.917360991598818
recall
0.20037629350893696 [1,0,0.792453,0,0,0,0,0,0,0]
relative_absolute_error
1.0633848085233673
root_mean_prior_squared_error
0.2897201918578885
root_mean_squared_error
0.29871932795870504
root_relative_squared_error
1.0310614736346395
total_cost
0
area_under_roc_curve
0.537618224691398 [1,0.159622,0.696154,0.716463,0.956311,0.29116,0.467234,0.850585,0.721221,0.768135]
area_under_roc_curve
0.535780473050253 [1,0.185317,0.695192,0.742683,0.914008,0.263556,0.508723,0.840684,0.705964,0.684456]
area_under_roc_curve
0.5493130106519686 [1,0.190768,0.691346,0.771341,0.941054,0.237542,0.455745,0.845185,0.751734,0.846632]
area_under_roc_curve
0.5430672974898537 [1,0.171858,0.689423,0.770122,0.886269,0.278114,0.468298,0.849235,0.706657,0.78601]
area_under_roc_curve
0.5589922429226442 [1,0.200667,0.699038,0.732927,0.897365,0.334848,0.524255,0.845185,0.678225,0.729275]
area_under_roc_curve
0.5763978569399776 [1,0.236617,0.716346,0.767073,0.939667,0.338215,0.461127,0.834833,0.663662,0.850518]
area_under_roc_curve
0.5565063132653352 [1,0.223578,0.711165,0.720307,0.90662,0.323514,0.476013,0.836634,0.757282,0.734388]
area_under_roc_curve
0.5651122149850928 [1,0.251903,0.683657,0.803309,0.918505,0.386829,0.40107,0.823762,0.625784,0.731933]
area_under_roc_curve
0.5608706263539125 [1,0.31292,0.695793,0.644608,0.911765,0.292026,0.353155,0.830693,0.668293,0.772566]
area_under_roc_curve
0.5529010054992898 [1,0.277877,0.699517,0.751838,0.898258,0.241747,0.376043,0.820443,0.728223,0.789844]
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
0.18563634056591802 [1,0,0.108108,0,0,0,0,0,0,0]
f_measure
0.18226415094339624 [1,0,0.106667,0,0,0,0,0,0,0]
f_measure
0.18226415094339624 [1,0,0.106667,0,0,0,0,0,0,0]
kappa
0.1120239894680384
kappa
0.11206728425158459
kappa
0.11078831083225506
kappa
0.11087513731233979
kappa
0.1154485049833887
kappa
0.11905927267387795
kappa
0.12078797304302749
kappa
0.11159316685976287
kappa
0.11216219545241791
kappa
0.1172977900416369
kb_relative_information_score
9.873876265760588
kb_relative_information_score
9.668646167960866
kb_relative_information_score
9.983276217150454
kb_relative_information_score
9.633331923791197
kb_relative_information_score
9.736819359500403
kb_relative_information_score
9.845834698375631
kb_relative_information_score
10.210357723846375
kb_relative_information_score
10.675115816934742
kb_relative_information_score
10.611477181401078
kb_relative_information_score
9.794646655200598
mean_absolute_error
0.17858373556616183
mean_absolute_error
0.17868047838923168
mean_absolute_error
0.17850946582141644
mean_absolute_error
0.17866996249173184
mean_absolute_error
0.17852533661172268
mean_absolute_error
0.17854478658045128
mean_absolute_error
0.1785378577308396
mean_absolute_error
0.1785758433094874
mean_absolute_error
0.17857389535351828
mean_absolute_error
0.17856257201151687
mean_prior_absolute_error
0.16791334775192993
mean_prior_absolute_error
0.16791334775192993
mean_prior_absolute_error
0.16789048900142436
mean_prior_absolute_error
0.16789048900142436
mean_prior_absolute_error
0.16789048900142436
mean_prior_absolute_error
0.16803423537479567
mean_prior_absolute_error
0.1679033283866866
mean_prior_absolute_error
0.16798812804748792
mean_prior_absolute_error
0.16798812804748792
mean_prior_absolute_error
0.1679090700303867
number_of_instances
213 [38,58,5,8,7,34,25,11,7,20]
number_of_instances
213 [38,58,5,8,7,34,25,11,7,20]
number_of_instances
213 [39,58,5,8,7,33,25,11,7,20]
number_of_instances
213 [39,58,5,8,7,33,25,11,7,20]
number_of_instances
213 [39,58,5,8,7,33,25,11,7,20]
number_of_instances
213 [39,57,5,8,7,33,26,11,7,20]
number_of_instances
212 [38,58,6,9,7,33,26,10,6,19]
number_of_instances
212 [38,58,6,8,8,33,25,10,7,19]
number_of_instances
212 [38,58,6,8,8,33,25,10,7,19]
number_of_instances
212 [38,58,5,8,7,33,25,11,7,20]
precision
0.18445941348574538 [1,0,0.057971,0,0,0,0,0,0,0]
precision
0.1808859721082855 [1,0,0.057971,0,0,0,0,0,0,0]
precision
0.1808859721082855 [1,0,0.057971,0,0,0,0,0,0,0]
predictive_accuracy
0.19718309859154928
predictive_accuracy
0.19718309859154928
predictive_accuracy
0.19718309859154928
predictive_accuracy
0.19718309859154928
predictive_accuracy
0.20187793427230047
predictive_accuracy
0.20657276995305163
predictive_accuracy
0.20754716981132076
predictive_accuracy
0.1981132075471698
predictive_accuracy
0.1981132075471698
predictive_accuracy
0.2028301886792453
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
prior_entropy
2.917360991598818
recall
0.19718309859154928 [1,0,0.8,0,0,0,0,0,0,0]
recall
0.19718309859154928 [1,0,0.8,0,0,0,0,0,0,0]
recall
0.19718309859154928 [1,0,0.6,0,0,0,0,0,0,0]
recall
0.19718309859154928 [1,0,0.6,0,0,0,0,0,0,0]
recall
0.20187793427230047 [1,0,0.8,0,0,0,0,0,0,0]
recall
0.20657276995305165 [1,0,1,0,0,0,0,0,0,0]
recall
0.20754716981132076 [1,0,1,0,0,0,0,0,0,0]
recall
0.19811320754716982 [1,0,0.666667,0,0,0,0,0,0,0]
recall
0.19811320754716982 [1,0,0.666667,0,0,0,0,0,0,0]
recall
0.2028301886792453 [1,0,1,0,0,0,0,0,0,0]
relative_absolute_error
1.0635469899033638
relative_absolute_error
1.0641231372100852
relative_absolute_error
1.0632494245692619
relative_absolute_error
1.0642053850365283
relative_absolute_error
1.0633439551790695
relative_absolute_error
1.0625500582200533
relative_absolute_error
1.063337215803497
relative_absolute_error
1.0630265685144515
relative_absolute_error
1.0630149727190121
relative_absolute_error
1.0634480435107063
root_mean_prior_squared_error
0.2896878672200002
root_mean_prior_squared_error
0.2896878672200002
root_mean_prior_squared_error
0.28964841042886275
root_mean_prior_squared_error
0.28964841042886275
root_mean_prior_squared_error
0.28964841042886275
root_mean_prior_squared_error
0.28989644364382644
root_mean_prior_squared_error
0.28967057332291984
root_mean_prior_squared_error
0.289816908944303
root_mean_prior_squared_error
0.289816908944303
root_mean_prior_squared_error
0.28968048379711253
root_mean_squared_error
0.2987349582215277
root_mean_squared_error
0.2988870157325503
root_mean_squared_error
0.2986000419126921
root_mean_squared_error
0.29886558920457207
root_mean_squared_error
0.29863754031635825
root_mean_squared_error
0.29866041396371706
root_mean_squared_error
0.29866568696930323
root_mean_squared_error
0.29870446446016535
root_mean_squared_error
0.29872679798921764
root_mean_squared_error
0.2987103124489686
root_relative_squared_error
1.031230479510061
root_relative_squared_error
1.0317553807165971
root_relative_squared_error
1.0309051635069404
root_relative_squared_error
1.0318219553218402
root_relative_squared_error
1.031034625303781
root_relative_squared_error
1.0302313826611071
root_relative_squared_error
1.0310529079402062
root_relative_squared_error
1.0306661041560221
root_relative_squared_error
1.0307431649773995
root_relative_squared_error
1.0311716845176924
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
15125.091916997917
usercpu_time_millis
15235.639801998332
usercpu_time_millis
15238.077907000843
usercpu_time_millis
14998.366729989357
usercpu_time_millis
15106.255614002293
usercpu_time_millis
15064.304781997635
usercpu_time_millis
15028.336622002826
usercpu_time_millis
14988.306610997824
usercpu_time_millis
14904.389532006462
usercpu_time_millis
14876.600887997483
usercpu_time_millis_testing
28.15536699927179
usercpu_time_millis_testing
29.657320999831427
usercpu_time_millis_testing
29.203493999375496
usercpu_time_millis_testing
28.585871994437184
usercpu_time_millis_testing
28.82704600051511
usercpu_time_millis_testing
30.164595002133865
usercpu_time_millis_testing
27.373764001822565
usercpu_time_millis_testing
26.99397499964107
usercpu_time_millis_testing
27.140921003592666
usercpu_time_millis_testing
28.08843399543548
usercpu_time_millis_training
15096.936549998645
usercpu_time_millis_training
15205.9824809985
usercpu_time_millis_training
15208.874413001467
usercpu_time_millis_training
14969.78085799492
usercpu_time_millis_training
15077.428568001778
usercpu_time_millis_training
15034.1401869955
usercpu_time_millis_training
15000.962858001003
usercpu_time_millis_training
14961.312635998183
usercpu_time_millis_training
14877.24861100287
usercpu_time_millis_training
14848.512454002048