10586517
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)
8302799
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
0.15137300119180372
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
2025
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
66
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
4
19040
random_state
25761
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.26362603401043827
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
22099304
description
https://api.openml.org/data/download/22099304/description.xml
-1
22099305
predictions
https://api.openml.org/data/download/22099305/predictions.arff
area_under_roc_curve
0.8327246091602688 [0.781565,0.802759,0.82515,0.780995,0.804748,0.881791]
average_cost
0
f_measure
0.5503277887693844 [0.447705,0.320924,0.428571,0.358925,0.384416,0.760173]
kappa
0.40334695460977577
kb_relative_information_score
0.3453369610068645
mean_absolute_error
0.1880950310950921
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5714285714285714 [0.434343,0.257202,0.393048,0.303079,0.355769,0.859436]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5452123766156945 [0.461914,0.426621,0.471154,0.44,0.418079,0.681465]
predictive_accuracy
0.5714285714285715
prior_entropy
2.3000072984859514
relative_absolute_error
0.7500861399555155
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3057323152893849
root_relative_squared_error
0.8634678488660771
total_cost
0
unweighted_recall
0.43381300577008536 [0.434343,0.257202,0.393048,0.303079,0.355769,0.859436]
area_under_roc_curve
0.8410384887492646 [0.783929,0.776411,0.833718,0.772933,0.834634,0.897658]
area_under_roc_curve
0.8380946958576901 [0.805734,0.821568,0.867412,0.812361,0.775826,0.868056]
area_under_roc_curve
0.8285393247383362 [0.759498,0.790046,0.801552,0.777243,0.806502,0.891031]
area_under_roc_curve
0.8444572079466942 [0.798895,0.832802,0.84288,0.800792,0.773988,0.894387]
area_under_roc_curve
0.8131295435856887 [0.752868,0.782253,0.789385,0.764252,0.818842,0.8623]
area_under_roc_curve
0.8353115521196826 [0.780063,0.746692,0.835642,0.792581,0.811848,0.891954]
area_under_roc_curve
0.8263176460546079 [0.812127,0.784554,0.821577,0.770557,0.788196,0.864629]
area_under_roc_curve
0.8408052217742941 [0.753142,0.847917,0.848318,0.792345,0.833739,0.887827]
area_under_roc_curve
0.8323729281720798 [0.795652,0.859273,0.802214,0.745663,0.802853,0.87961]
area_under_roc_curve
0.8311931742332372 [0.777139,0.796181,0.817077,0.784024,0.807757,0.881861]
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
0.5631943522050452 [0.470588,0.324324,0.374101,0.37931,0.431034,0.77913]
f_measure
0.5859781612811306 [0.533937,0.309859,0.522388,0.419048,0.428571,0.758377]
f_measure
0.53540066957976 [0.369231,0.232558,0.470588,0.391753,0.318182,0.771626]
f_measure
0.550038505115863 [0.448598,0.282051,0.466667,0.265306,0.424242,0.769231]
f_measure
0.5290741103612963 [0.368664,0.409639,0.378788,0.42,0.344828,0.736111]
f_measure
0.552924735439243 [0.433962,0.293333,0.446043,0.366972,0.372881,0.774081]
f_measure
0.5519904168508348 [0.506787,0.333333,0.372093,0.366972,0.385321,0.751748]
f_measure
0.5492180109646623 [0.421053,0.351351,0.411765,0.388889,0.376068,0.762069]
f_measure
0.5367222003318123 [0.457944,0.342105,0.437956,0.265306,0.342342,0.74744]
f_measure
0.5470791665628192 [0.456311,0.333333,0.4,0.313725,0.432432,0.752137]
kappa
0.4215286529764994
kappa
0.45044565651190627
kappa
0.3854556503308903
kappa
0.40717413988488155
kappa
0.37043584182536626
kappa
0.40900631574273794
kappa
0.4059309097914845
kappa
0.4008108017556203
kappa
0.38465354162047594
kappa
0.3974200806224806
kb_relative_information_score
0.34976688910006276
kb_relative_information_score
0.3627540267692032
kb_relative_information_score
0.3307025847966918
kb_relative_information_score
0.35145289150127146
kb_relative_information_score
0.33801085557877997
kb_relative_information_score
0.3448012489688084
kb_relative_information_score
0.34635075494633377
kb_relative_information_score
0.355237750463886
kb_relative_information_score
0.3297010832105483
kb_relative_information_score
0.34455912772265274
mean_absolute_error
0.18720357750608368
mean_absolute_error
0.18480959230103178
mean_absolute_error
0.18851667229932437
mean_absolute_error
0.1869416598825737
mean_absolute_error
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mean_absolute_error
0.1884438668809272
mean_absolute_error
0.18802623653204664
mean_absolute_error
0.18723722150224692
mean_absolute_error
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mean_absolute_error
0.18833852127526982
mean_prior_absolute_error
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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
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mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
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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
0.5581136049699357 [0.505263,0.461538,0.4,0.407407,0.471698,0.702194]
precision
0.5871074740175067 [0.526786,0.478261,0.59322,0.511628,0.428571,0.689103]
precision
0.5329425624024631 [0.413793,0.27027,0.52459,0.542857,0.304348,0.690402]
precision
0.5471511319719568 [0.457143,0.37931,0.466667,0.361111,0.567568,0.681818]
precision
0.5284353644173961 [0.37037,0.5,0.438596,0.552632,0.37037,0.660436]
precision
0.5470869853868275 [0.446602,0.423077,0.484375,0.425532,0.392857,0.699367]
precision
0.5465162851800526 [0.5,0.4,0.444444,0.425532,0.446809,0.678233]
precision
0.5466320794244284 [0.44,0.52,0.459016,0.446809,0.4,0.682099]
precision
0.5315987911340396 [0.466667,0.464286,0.483871,0.351351,0.387755,0.663636]
precision
0.5425509996182604 [0.484536,0.433333,0.424242,0.390244,0.5,0.668693]
predictive_accuracy
0.5833333333333334
predictive_accuracy
0.6029411764705883
predictive_accuracy
0.5571895424836601
predictive_accuracy
0.576797385620915
predictive_accuracy
0.5473856209150327
predictive_accuracy
0.5735294117647058
predictive_accuracy
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predictive_accuracy
0.5702614379084967
predictive_accuracy
0.5613747954173486
predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
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prior_entropy
2.3029972536480843
prior_entropy
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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
0.7467980809245921
relative_absolute_error
0.7367758235917218
relative_absolute_error
0.7513940948684418
relative_absolute_error
0.7452392194724822
relative_absolute_error
0.7564215828377563
relative_absolute_error
0.7512277378778621
relative_absolute_error
0.7495628627749916
relative_absolute_error
0.7469304394889376
relative_absolute_error
0.7649839991195632
relative_absolute_error
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root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
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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
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.3036654897233473
root_mean_squared_error
0.30209745503364716
root_mean_squared_error
0.30912519690168894
root_mean_squared_error
0.30299843433701273
root_mean_squared_error
0.31078255904681307
root_mean_squared_error
0.30503380958919535
root_mean_squared_error
0.30702706360432397
root_mean_squared_error
0.3041946377572882
root_mean_squared_error
0.30696407365366946
root_mean_squared_error
0.305324269209063
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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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
0.4447304050552053 [0.440367,0.25,0.351351,0.354839,0.396825,0.875]
unweighted_recall
0.47727752169231114 [0.541284,0.229167,0.466667,0.354839,0.428571,0.843137]
unweighted_recall
0.4130627304685315 [0.333333,0.204082,0.426667,0.306452,0.333333,0.87451]
unweighted_recall
0.4270439121687937 [0.440367,0.22449,0.466667,0.209677,0.33871,0.882353]
unweighted_recall
0.4233179095846684 [0.366972,0.346939,0.333333,0.33871,0.322581,0.831373]
unweighted_recall
0.43398791656348834 [0.422018,0.22449,0.413333,0.322581,0.354839,0.866667]
unweighted_recall
0.4373172218477999 [0.513761,0.285714,0.32,0.322581,0.33871,0.843137]
unweighted_recall
0.4341152392187236 [0.40367,0.265306,0.373333,0.344262,0.354839,0.863281]
unweighted_recall
0.4159016224564316 [0.449541,0.270833,0.4,0.213115,0.306452,0.855469]
unweighted_recall
0.43050447253029417 [0.431193,0.270833,0.378378,0.262295,0.380952,0.859375]
usercpu_time_millis
27099.248164002347
usercpu_time_millis
30123.67552700016
usercpu_time_millis
29834.890109003027
usercpu_time_millis
29947.571358999994
usercpu_time_millis
30056.76548200063
usercpu_time_millis
28906.947911000316
usercpu_time_millis
29918.14397499911
usercpu_time_millis
29921.746506999625
usercpu_time_millis
26076.241662998655
usercpu_time_millis
28144.486739998683
usercpu_time_millis_testing
15.8072970007197
usercpu_time_millis_testing
17.370961999404244
usercpu_time_millis_testing
18.294400000741007
usercpu_time_millis_testing
17.086676001781598
usercpu_time_millis_testing
17.474915999628138
usercpu_time_millis_testing
16.45541600009892
usercpu_time_millis_testing
16.42391000132193
usercpu_time_millis_testing
17.237694999494124
usercpu_time_millis_testing
15.360099998360965
usercpu_time_millis_testing
11.246377998759272
usercpu_time_millis_training
27083.440867001627
usercpu_time_millis_training
30106.304565000755
usercpu_time_millis_training
29816.595709002286
usercpu_time_millis_training
29930.484682998213
usercpu_time_millis_training
30039.290566001
usercpu_time_millis_training
28890.492495000217
usercpu_time_millis_training
29901.72006499779
usercpu_time_millis_training
29904.50881200013
usercpu_time_millis_training
26060.881563000294
usercpu_time_millis_training
28133.240361999924
wall_clock_time_millis
27669.79694366455
wall_clock_time_millis
30666.151762008667
wall_clock_time_millis
30374.79043006897
wall_clock_time_millis
30655.317306518555
wall_clock_time_millis
30678.40313911438
wall_clock_time_millis
29476.892232894897
wall_clock_time_millis
30533.047437667847
wall_clock_time_millis
30457.351207733154
wall_clock_time_millis
26524.406671524048
wall_clock_time_millis
28670.730113983154
wall_clock_time_millis_testing
15.81430435180664
wall_clock_time_millis_testing
17.390966415405273
wall_clock_time_millis_testing
18.298625946044922
wall_clock_time_millis_testing
17.604827880859375
wall_clock_time_millis_testing
19.968509674072266
wall_clock_time_millis_testing
16.479015350341797
wall_clock_time_millis_testing
16.55745506286621
wall_clock_time_millis_testing
26.633501052856445
wall_clock_time_millis_testing
15.364885330200195
wall_clock_time_millis_testing
11.250972747802734
wall_clock_time_millis_training
27653.982639312744
wall_clock_time_millis_training
30648.76079559326
wall_clock_time_millis_training
30356.491804122925
wall_clock_time_millis_training
30637.712478637695
wall_clock_time_millis_training
30658.434629440308
wall_clock_time_millis_training
29460.413217544556
wall_clock_time_millis_training
30516.48998260498
wall_clock_time_millis_training
30430.717706680298
wall_clock_time_millis_training
26509.041786193848
wall_clock_time_millis_training
28659.47914123535
weighted_recall
0.5833333333333334 [0.440367,0.25,0.351351,0.354839,0.396825,0.875]
weighted_recall
0.6029411764705882 [0.541284,0.229167,0.466667,0.354839,0.428571,0.843137]
weighted_recall
0.5571895424836601 [0.333333,0.204082,0.426667,0.306452,0.333333,0.87451]
weighted_recall
0.576797385620915 [0.440367,0.22449,0.466667,0.209677,0.33871,0.882353]
weighted_recall
0.5473856209150327 [0.366972,0.346939,0.333333,0.33871,0.322581,0.831373]
weighted_recall
0.5735294117647058 [0.422018,0.22449,0.413333,0.322581,0.354839,0.866667]
weighted_recall
0.5718954248366013 [0.513761,0.285714,0.32,0.322581,0.33871,0.843137]
weighted_recall
0.5702614379084967 [0.40367,0.265306,0.373333,0.344262,0.354839,0.863281]
weighted_recall
0.5613747954173486 [0.449541,0.270833,0.4,0.213115,0.306452,0.855469]
weighted_recall
0.5695581014729951 [0.431193,0.270833,0.378378,0.262295,0.380952,0.859375]