10586562
28997
Marc Boel
9985
Supervised Classification
19039
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2)
8302844
Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1.
n_jobs
null
19031
remainder
"drop"
19031
sparse_threshold
0.3
19031
transformer_weights
null
19031
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
19031
verbose
false
19031
verbose_feature_names_out
true
19031
add_indicator
false
19032
copy
true
19032
fill_value
null
19032
missing_values
NaN
19032
strategy
"most_frequent"
19032
verbose
0
19032
categories
"auto"
19033
drop
null
19033
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
19033
handle_unknown
"ignore"
19033
sparse
true
19033
memory
null
19039
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19039
verbose
false
19039
ccp_alpha
0.0
19040
criterion
"friedman_mse"
19040
init
null
19040
learning_rate
0.6747568725390458
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1904
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
116
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
8
19040
random_state
9429
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.37639353945219584
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
22099395
description
https://api.openml.org/data/download/22099395/description.xml
-1
22099396
predictions
https://api.openml.org/data/download/22099396/predictions.arff
area_under_roc_curve
0.8215036367067665 [0.76609,0.774113,0.812034,0.766913,0.789209,0.878001]
average_cost
0
f_measure
0.5469855289528434 [0.444853,0.313869,0.41831,0.367384,0.364769,0.760488]
kappa
0.3986909008134141
kb_relative_information_score
0.36837461269345945
mean_absolute_error
0.18053387325412515
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5624387054593004 [0.444444,0.265432,0.397059,0.332253,0.328526,0.830462]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5398387172176584 [0.445262,0.383929,0.441964,0.410822,0.41,0.701389]
predictive_accuracy
0.5624387054593004
prior_entropy
2.3000072984859514
relative_absolute_error
0.7199337235652175
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.31097441463514897
root_relative_squared_error
0.8782729055096472
total_cost
0
unweighted_recall
0.4330293107383081 [0.444444,0.265432,0.397059,0.332253,0.328526,0.830462]
area_under_roc_curve
0.8414164913358396 [0.81365,0.771055,0.810032,0.783534,0.823893,0.893834]
area_under_roc_curve
0.8366430968698786 [0.803445,0.812482,0.842682,0.82305,0.776968,0.871654]
area_under_roc_curve
0.818259837376344 [0.742422,0.749502,0.81378,0.75283,0.784124,0.889251]
area_under_roc_curve
0.8286095655229421 [0.755677,0.80866,0.829137,0.748842,0.780513,0.894552]
area_under_roc_curve
0.8037322941655292 [0.729285,0.765995,0.798808,0.770279,0.780587,0.858016]
area_under_roc_curve
0.8210268950522134 [0.750606,0.7298,0.812998,0.791408,0.824883,0.877283]
area_under_roc_curve
0.8145910667752935 [0.788207,0.778464,0.77887,0.761056,0.778372,0.86514]
area_under_roc_curve
0.8295024222867371 [0.745664,0.819154,0.838436,0.773199,0.815117,0.881463]
area_under_roc_curve
0.8093241707600676 [0.758133,0.787818,0.797002,0.737228,0.746239,0.87122]
area_under_roc_curve
0.8165061346621516 [0.77745,0.726243,0.810031,0.734575,0.794027,0.876986]
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
0.5592037886004201 [0.491228,0.263158,0.368794,0.386555,0.410256,0.777164]
f_measure
0.5533414751367549 [0.515556,0.27027,0.408759,0.428571,0.344262,0.747292]
f_measure
0.5440811610686531 [0.407583,0.315789,0.42029,0.357895,0.421875,0.75763]
f_measure
0.5600110215673779 [0.411483,0.372093,0.493671,0.299065,0.388889,0.784173]
f_measure
0.532397403845374 [0.412844,0.344828,0.390625,0.327273,0.345455,0.756567]
f_measure
0.5749658116006129 [0.479263,0.363636,0.450704,0.42623,0.363636,0.780576]
f_measure
0.5310375362524556 [0.486957,0.344828,0.268657,0.4,0.32,0.746004]
f_measure
0.5574159446394346 [0.418605,0.357143,0.496454,0.40367,0.372881,0.754039]
f_measure
0.509862676591776 [0.396226,0.3,0.431373,0.256881,0.277228,0.737213]
f_measure
0.5386205766309822 [0.417062,0.184211,0.432432,0.373984,0.381818,0.765343]
kappa
0.41664028988987234
kappa
0.4080457243350187
kappa
0.39536755827143333
kappa
0.419828775772394
kappa
0.37960887034118407
kappa
0.43716199381512805
kappa
0.37941562559919767
kappa
0.4101345334207989
kappa
0.3499180710742699
kappa
0.3897896839384326
kb_relative_information_score
0.38248584045154993
kb_relative_information_score
0.38512743444273817
kb_relative_information_score
0.3700619938969251
kb_relative_information_score
0.3780140573840269
kb_relative_information_score
0.33990124371219793
kb_relative_information_score
0.3848031221429715
kb_relative_information_score
0.3647210608319666
kb_relative_information_score
0.3797763343221387
kb_relative_information_score
0.3503010225198807
kb_relative_information_score
0.34844516291820304
mean_absolute_error
0.17714951954279054
mean_absolute_error
0.17859906865038863
mean_absolute_error
0.17687364948520132
mean_absolute_error
0.17828723473703112
mean_absolute_error
0.1876175431504623
mean_absolute_error
0.17754183159480844
mean_absolute_error
0.1813335201534885
mean_absolute_error
0.17940665883889503
mean_absolute_error
0.18328883872212173
mean_absolute_error
0.1852530803663542
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
0.25083558171073006
mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
0.25059472840439195
number_of_instances
612 [109,48,74,62,63,256]
number_of_instances
612 [109,48,75,62,63,255]
number_of_instances
612 [108,49,75,62,63,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,61,62,256]
number_of_instances
611 [109,48,75,61,62,256]
number_of_instances
611 [109,48,74,61,63,256]
precision
0.5529084898585985 [0.470588,0.357143,0.38806,0.403509,0.444444,0.735192]
precision
0.5482919878357758 [0.5,0.384615,0.451613,0.48,0.355932,0.692308]
precision
0.5422554336575249 [0.417476,0.326087,0.460317,0.515152,0.415385,0.698675]
precision
0.5528322397013106 [0.43,0.432432,0.46988,0.355556,0.456522,0.724252]
precision
0.5258413854391258 [0.412844,0.394737,0.471698,0.375,0.395833,0.683544]
precision
0.5708163174937828 [0.481481,0.5,0.477612,0.433333,0.416667,0.72093]
precision
0.5246001770838146 [0.46281,0.394737,0.305085,0.458333,0.421053,0.681818]
precision
0.5522327443327689 [0.424528,0.428571,0.530303,0.458333,0.392857,0.697674]
precision
0.5012504636736447 [0.407767,0.375,0.423077,0.291667,0.358974,0.672026]
precision
0.5301446508028512 [0.431373,0.25,0.432432,0.370968,0.446809,0.711409]
predictive_accuracy
0.5718954248366014
predictive_accuracy
0.5686274509803921
predictive_accuracy
0.5588235294117647
predictive_accuracy
0.576797385620915
predictive_accuracy
0.5522875816993464
predictive_accuracy
0.5898692810457516
predictive_accuracy
0.5506535947712419
predictive_accuracy
0.5702614379084967
predictive_accuracy
0.530278232405892
predictive_accuracy
0.5548281505728314
prior_entropy
2.2982053906988225
prior_entropy
2.3010980143383097
prior_entropy
2.3029972536480843
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.7066901337767981
relative_absolute_error
0.7120164827984954
relative_absolute_error
0.7049870663428167
relative_absolute_error
0.710738525274632
relative_absolute_error
0.7479336147149992
relative_absolute_error
0.7077669904318832
relative_absolute_error
0.7228824816697831
relative_absolute_error
0.7156926035252539
relative_absolute_error
0.7314476238712092
relative_absolute_error
0.7392537007698182
root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
0.3542508884492025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.306709871402023
root_mean_squared_error
0.30525465229970794
root_mean_squared_error
0.31401935120604924
root_mean_squared_error
0.3074589821037624
root_mean_squared_error
0.31592527687913974
root_mean_squared_error
0.30744838609246034
root_mean_squared_error
0.31359771941134995
root_mean_squared_error
0.3074901986154124
root_mean_squared_error
0.31785053085490894
root_mean_squared_error
0.31371036690480886
root_relative_squared_error
0.8665384854031367
root_relative_squared_error
0.8618747589187408
root_relative_squared_error
0.8864320780696582
root_relative_squared_error
0.8680561331784328
root_relative_squared_error
0.8919592211766314
root_relative_squared_error
0.8680262172119678
root_relative_squared_error
0.8853877737548796
root_relative_squared_error
0.8687409626096172
root_relative_squared_error
0.8983411827420582
root_relative_squared_error
0.8866007188727267
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
unweighted_recall
0.441597504243743 [0.513761,0.208333,0.351351,0.370968,0.380952,0.824219]
unweighted_recall
0.44099526196983674 [0.53211,0.208333,0.373333,0.387097,0.333333,0.811765]
unweighted_recall
0.43685887019084807 [0.398148,0.306122,0.386667,0.274194,0.428571,0.827451]
unweighted_recall
0.44878369657027256 [0.394495,0.326531,0.52,0.258065,0.33871,0.854902]
unweighted_recall
0.41602213934799526 [0.412844,0.306122,0.333333,0.290323,0.306452,0.847059]
unweighted_recall
0.46372684143204485 [0.477064,0.285714,0.426667,0.419355,0.322581,0.85098]
unweighted_recall
0.4160527590734429 [0.513761,0.306122,0.24,0.354839,0.258065,0.823529]
unweighted_recall
0.4535733499543073 [0.412844,0.306122,0.466667,0.360656,0.354839,0.820312]
unweighted_recall
0.39117366654194097 [0.385321,0.25,0.44,0.229508,0.225806,0.816406]
unweighted_recall
0.4200738340329351 [0.40367,0.145833,0.432432,0.377049,0.333333,0.828125]
usercpu_time_millis
10962.356881002052
usercpu_time_millis
7755.0983000001
usercpu_time_millis
12938.181278997945
usercpu_time_millis
8747.178866000468
usercpu_time_millis
6271.615196998027
usercpu_time_millis
8262.78130100036
usercpu_time_millis
11740.40090300332
usercpu_time_millis
9271.641779996571
usercpu_time_millis
9872.480029000144
usercpu_time_millis
8265.003106000222
usercpu_time_millis_testing
12.408611000864767
usercpu_time_millis_testing
11.081401000410551
usercpu_time_millis_testing
12.797833998774877
usercpu_time_millis_testing
11.574716001632623
usercpu_time_millis_testing
11.457839998911368
usercpu_time_millis_testing
11.385912999685388
usercpu_time_millis_testing
12.691115000052378
usercpu_time_millis_testing
12.0538659975864
usercpu_time_millis_testing
8.180859000276541
usercpu_time_millis_testing
11.176355001225602
usercpu_time_millis_training
10949.948270001187
usercpu_time_millis_training
7744.016898999689
usercpu_time_millis_training
12925.38344499917
usercpu_time_millis_training
8735.604149998835
usercpu_time_millis_training
6260.157356999116
usercpu_time_millis_training
8251.395388000674
usercpu_time_millis_training
11727.709788003267
usercpu_time_millis_training
9259.587913998985
usercpu_time_millis_training
9864.299169999867
usercpu_time_millis_training
8253.826750998996
wall_clock_time_millis
11202.269554138184
wall_clock_time_millis
7960.687875747681
wall_clock_time_millis
13263.710021972656
wall_clock_time_millis
8859.016418457031
wall_clock_time_millis
6384.476184844971
wall_clock_time_millis
8455.76524734497
wall_clock_time_millis
11950.21653175354
wall_clock_time_millis
9463.699340820312
wall_clock_time_millis
10102.015256881714
wall_clock_time_millis
8438.710451126099
wall_clock_time_millis_testing
12.414932250976562
wall_clock_time_millis_testing
11.087179183959961
wall_clock_time_millis_testing
12.804508209228516
wall_clock_time_millis_testing
11.583805084228516
wall_clock_time_millis_testing
11.542320251464844
wall_clock_time_millis_testing
13.554096221923828
wall_clock_time_millis_testing
12.800931930541992
wall_clock_time_millis_testing
12.061834335327148
wall_clock_time_millis_testing
8.185386657714844
wall_clock_time_millis_testing
11.183738708496094
wall_clock_time_millis_training
11189.854621887207
wall_clock_time_millis_training
7949.600696563721
wall_clock_time_millis_training
13250.905513763428
wall_clock_time_millis_training
8847.432613372803
wall_clock_time_millis_training
6372.933864593506
wall_clock_time_millis_training
8442.211151123047
wall_clock_time_millis_training
11937.415599822998
wall_clock_time_millis_training
9451.637506484985
wall_clock_time_millis_training
10093.829870223999
wall_clock_time_millis_training
8427.526712417603
weighted_recall
0.5718954248366013 [0.513761,0.208333,0.351351,0.370968,0.380952,0.824219]
weighted_recall
0.5686274509803921 [0.53211,0.208333,0.373333,0.387097,0.333333,0.811765]
weighted_recall
0.5588235294117647 [0.398148,0.306122,0.386667,0.274194,0.428571,0.827451]
weighted_recall
0.576797385620915 [0.394495,0.326531,0.52,0.258065,0.33871,0.854902]
weighted_recall
0.5522875816993464 [0.412844,0.306122,0.333333,0.290323,0.306452,0.847059]
weighted_recall
0.5898692810457516 [0.477064,0.285714,0.426667,0.419355,0.322581,0.85098]
weighted_recall
0.5506535947712419 [0.513761,0.306122,0.24,0.354839,0.258065,0.823529]
weighted_recall
0.5702614379084967 [0.412844,0.306122,0.466667,0.360656,0.354839,0.820312]
weighted_recall
0.530278232405892 [0.385321,0.25,0.44,0.229508,0.225806,0.816406]
weighted_recall
0.5548281505728314 [0.40367,0.145833,0.432432,0.377049,0.333333,0.828125]