10586559
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)
8302841
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
"median"
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
0.7525547124890117
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1922
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
39
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
13
19040
random_state
62545
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.3584843725843474
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
22099389
description
https://api.openml.org/data/download/22099389/description.xml
-1
22099390
predictions
https://api.openml.org/data/download/22099390/predictions.arff
area_under_roc_curve
0.8152689113405834 [0.752894,0.773571,0.807588,0.748692,0.781275,0.876438]
average_cost
0
f_measure
0.5391166025798462 [0.429043,0.318772,0.388928,0.360036,0.356048,0.759957]
kappa
0.3883149348835224
kb_relative_information_score
0.3629288348790589
mean_absolute_error
0.18014707466149693
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5542661000326904 [0.417815,0.277778,0.36631,0.324149,0.334936,0.829287]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5312258677191871 [0.440891,0.373961,0.414523,0.404858,0.38,0.701325]
predictive_accuracy
0.5542661000326904
prior_entropy
2.3000072984859514
relative_absolute_error
0.7183912465439184
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3157595280778935
root_relative_squared_error
0.8917873146982077
total_cost
0
unweighted_recall
0.42504580754679955 [0.417815,0.277778,0.36631,0.324149,0.334936,0.829287]
area_under_roc_curve
0.8209088765280733 [0.755039,0.747562,0.820155,0.728372,0.775277,0.896567]
area_under_roc_curve
0.8275931157114212 [0.783063,0.811115,0.828256,0.770894,0.765316,0.878706]
area_under_roc_curve
0.8139536708356778 [0.75383,0.743575,0.821639,0.744589,0.758334,0.881287]
area_under_roc_curve
0.8208663234756566 [0.763328,0.754613,0.830242,0.765513,0.77827,0.87925]
area_under_roc_curve
0.8065179264683305 [0.717949,0.773082,0.780695,0.747727,0.835293,0.865695]
area_under_roc_curve
0.8114020123451616 [0.721305,0.764309,0.808243,0.779633,0.775821,0.876267]
area_under_roc_curve
0.8113544445926444 [0.782479,0.769747,0.791943,0.763607,0.745469,0.86503]
area_under_roc_curve
0.8204786183445413 [0.733334,0.811995,0.827511,0.746378,0.819487,0.875044]
area_under_roc_curve
0.8153667876635865 [0.752851,0.830336,0.791356,0.724993,0.766746,0.879522]
area_under_roc_curve
0.8088401416022912 [0.766987,0.7495,0.788225,0.720864,0.802992,0.866148]
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
0.5605836003192479 [0.445498,0.275,0.407895,0.365217,0.352,0.805915]
f_measure
0.5574172885692809 [0.471154,0.337349,0.380282,0.444444,0.393443,0.755793]
f_measure
0.5254715066098117 [0.359447,0.304348,0.38806,0.343434,0.366412,0.76225]
f_measure
0.5301630065681312 [0.456853,0.263736,0.43662,0.295652,0.386555,0.732143]
f_measure
0.5364618106334779 [0.392694,0.309524,0.335878,0.438596,0.321429,0.776596]
f_measure
0.5310099291386902 [0.40553,0.309524,0.394366,0.345455,0.336283,0.759857]
f_measure
0.5422082161617996 [0.493274,0.361446,0.328571,0.353982,0.385321,0.744604]
f_measure
0.5519293248958526 [0.435185,0.337349,0.456693,0.36036,0.392857,0.754783]
f_measure
0.5335372663826989 [0.420561,0.404494,0.383562,0.350877,0.245283,0.76311]
f_measure
0.5223720806702156 [0.41206,0.282051,0.379085,0.303571,0.368,0.745946]
kappa
0.41897190233579495
kappa
0.4114715047586887
kappa
0.37054948902553775
kappa
0.3751765627172727
kappa
0.3869180907483795
kappa
0.37818794038785314
kappa
0.39191775498082465
kappa
0.4027628839967198
kappa
0.38135661616346894
kappa
0.36583854120822695
kb_relative_information_score
0.3734238461268625
kb_relative_information_score
0.3851677429848118
kb_relative_information_score
0.35346201990135073
kb_relative_information_score
0.36089176238434084
kb_relative_information_score
0.3546586283598389
kb_relative_information_score
0.35791587180927187
kb_relative_information_score
0.3642586841593768
kb_relative_information_score
0.36894692721623024
kb_relative_information_score
0.36096035863777537
kb_relative_information_score
0.3495786884282465
mean_absolute_error
0.17620896102194997
mean_absolute_error
0.1753654962108668
mean_absolute_error
0.18019378520281168
mean_absolute_error
0.180754093883438
mean_absolute_error
0.18249309676287342
mean_absolute_error
0.18078627182126422
mean_absolute_error
0.1806044755909898
mean_absolute_error
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mean_absolute_error
0.17992097999147513
mean_absolute_error
0.18504092428334792
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
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mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
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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
0.553715959005736 [0.460784,0.34375,0.397436,0.396226,0.354839,0.764912]
precision
0.5523120701702628 [0.494949,0.4,0.402985,0.521739,0.40678,0.69281]
precision
0.5217001314230036 [0.357798,0.325581,0.440678,0.459459,0.352941,0.709459]
precision
0.5240815487522548 [0.511364,0.285714,0.462687,0.320755,0.403509,0.672131]
precision
0.527988928547181 [0.390909,0.371429,0.392857,0.480769,0.36,0.708738]
precision
0.5228860105490332 [0.407407,0.371429,0.41791,0.395833,0.372549,0.69967]
precision
0.5361521724677853 [0.482456,0.441176,0.353846,0.392157,0.446809,0.687708]
precision
0.5485393773938151 [0.439252,0.411765,0.557692,0.4,0.44,0.680251]
precision
0.5246710717667585 [0.428571,0.439024,0.394366,0.377358,0.295455,0.710438]
precision
0.5161295954560047 [0.455556,0.366667,0.367089,0.333333,0.370968,0.692308]
predictive_accuracy
0.5718954248366014
predictive_accuracy
0.5718954248366014
predictive_accuracy
0.5392156862745098
predictive_accuracy
0.5441176470588236
predictive_accuracy
0.5555555555555556
predictive_accuracy
0.5473856209150327
predictive_accuracy
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predictive_accuracy
0.5702614379084967
predictive_accuracy
0.5482815057283142
predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
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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
0.702938029742685
relative_absolute_error
0.6991252796547132
relative_absolute_error
0.7182205397642717
relative_absolute_error
0.7205726103360978
relative_absolute_error
0.7275051108249931
relative_absolute_error
0.7207008870470508
relative_absolute_error
0.719976159980661
relative_absolute_error
0.7184995385137565
relative_absolute_error
0.7180075678195691
relative_absolute_error
0.7384070904506101
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
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root_mean_prior_squared_error
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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
0.31655885472859724
root_mean_squared_error
0.3084409328525575
root_mean_squared_error
0.31879706992602025
root_mean_squared_error
0.31594284406262
root_mean_squared_error
0.31919378281612154
root_mean_squared_error
0.31992627600167783
root_mean_squared_error
0.3162378303322307
root_mean_squared_error
0.3114032317067629
root_mean_squared_error
0.31392975247315263
root_mean_squared_error
0.3169789948392292
root_relative_squared_error
0.8943645317431441
root_relative_squared_error
0.8708710993926556
root_relative_squared_error
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root_relative_squared_error
0.8920088190165072
root_relative_squared_error
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root_relative_squared_error
0.9032553355506413
root_relative_squared_error
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root_relative_squared_error
0.8797963138039323
root_relative_squared_error
0.887259883996818
root_relative_squared_error
0.8958384367874297
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
0.436459462126958 [0.431193,0.229167,0.418919,0.33871,0.349206,0.851562]
unweighted_recall
0.45010494253931227 [0.449541,0.291667,0.36,0.387097,0.380952,0.831373]
unweighted_recall
0.4120279007660412 [0.361111,0.285714,0.346667,0.274194,0.380952,0.823529]
unweighted_recall
0.4200263646940477 [0.412844,0.244898,0.413333,0.274194,0.370968,0.803922]
unweighted_recall
0.417584464189148 [0.394495,0.265306,0.293333,0.403226,0.290323,0.858824]
unweighted_recall
0.41443082589650243 [0.40367,0.265306,0.373333,0.306452,0.306452,0.831373]
unweighted_recall
0.4317385500120932 [0.504587,0.306122,0.306667,0.322581,0.33871,0.811765]
unweighted_recall
0.43898957084464113 [0.431193,0.285714,0.386667,0.327869,0.354839,0.847656]
unweighted_recall
0.42049039864073934 [0.412844,0.375,0.373333,0.327869,0.209677,0.824219]
unweighted_recall
0.40826116453648553 [0.376147,0.229167,0.391892,0.278689,0.365079,0.808594]
usercpu_time_millis
9215.643538998847
usercpu_time_millis
7147.6461309976
usercpu_time_millis
7412.911722996796
usercpu_time_millis
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usercpu_time_millis
6632.301158999326
usercpu_time_millis
7155.63421099796
usercpu_time_millis
7696.089712000685
usercpu_time_millis
5840.63624600094
usercpu_time_millis
6351.764213999559
usercpu_time_millis
5577.9221010016045
usercpu_time_millis_testing
12.08267100082594
usercpu_time_millis_testing
10.659057999873767
usercpu_time_millis_testing
10.64929699714412
usercpu_time_millis_testing
10.797596001793863
usercpu_time_millis_testing
10.070237000036286
usercpu_time_millis_testing
10.62440999885439
usercpu_time_millis_testing
10.877799999434501
usercpu_time_millis_testing
10.319223001715727
usercpu_time_millis_testing
10.3796430012153
usercpu_time_millis_testing
6.845393003459321
usercpu_time_millis_training
9203.560867998021
usercpu_time_millis_training
7136.9870729977265
usercpu_time_millis_training
7402.262425999652
usercpu_time_millis_training
7935.787572998379
usercpu_time_millis_training
6622.230921999289
usercpu_time_millis_training
7145.009800999105
usercpu_time_millis_training
7685.21191200125
usercpu_time_millis_training
5830.317022999225
usercpu_time_millis_training
6341.384570998343
usercpu_time_millis_training
5571.076707998145
wall_clock_time_millis
9448.741436004639
wall_clock_time_millis
7315.197706222534
wall_clock_time_millis
7563.542127609253
wall_clock_time_millis
8104.849338531494
wall_clock_time_millis
6786.891937255859
wall_clock_time_millis
7288.1224155426025
wall_clock_time_millis
7821.745157241821
wall_clock_time_millis
6013.054132461548
wall_clock_time_millis
6462.526559829712
wall_clock_time_millis
5693.458318710327
wall_clock_time_millis_testing
12.090444564819336
wall_clock_time_millis_testing
10.666131973266602
wall_clock_time_millis_testing
10.656118392944336
wall_clock_time_millis_testing
10.804414749145508
wall_clock_time_millis_testing
10.075092315673828
wall_clock_time_millis_testing
10.632991790771484
wall_clock_time_millis_testing
11.212587356567383
wall_clock_time_millis_testing
10.349273681640625
wall_clock_time_millis_testing
10.385751724243164
wall_clock_time_millis_testing
6.850004196166992
wall_clock_time_millis_training
9436.65099143982
wall_clock_time_millis_training
7304.531574249268
wall_clock_time_millis_training
7552.886009216309
wall_clock_time_millis_training
8094.044923782349
wall_clock_time_millis_training
6776.816844940186
wall_clock_time_millis_training
7277.489423751831
wall_clock_time_millis_training
7810.532569885254
wall_clock_time_millis_training
6002.704858779907
wall_clock_time_millis_training
6452.140808105469
wall_clock_time_millis_training
5686.60831451416
weighted_recall
0.5718954248366013 [0.431193,0.229167,0.418919,0.33871,0.349206,0.851562]
weighted_recall
0.5718954248366013 [0.449541,0.291667,0.36,0.387097,0.380952,0.831373]
weighted_recall
0.5392156862745098 [0.361111,0.285714,0.346667,0.274194,0.380952,0.823529]
weighted_recall
0.5441176470588235 [0.412844,0.244898,0.413333,0.274194,0.370968,0.803922]
weighted_recall
0.5555555555555556 [0.394495,0.265306,0.293333,0.403226,0.290323,0.858824]
weighted_recall
0.5473856209150327 [0.40367,0.265306,0.373333,0.306452,0.306452,0.831373]
weighted_recall
0.5571895424836601 [0.504587,0.306122,0.306667,0.322581,0.33871,0.811765]
weighted_recall
0.5702614379084967 [0.431193,0.285714,0.386667,0.327869,0.354839,0.847656]
weighted_recall
0.5482815057283142 [0.412844,0.375,0.373333,0.327869,0.209677,0.824219]
weighted_recall
0.5368248772504092 [0.376147,0.229167,0.391892,0.278689,0.365079,0.808594]