10586478
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)
8302760
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
"mean"
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
0.21373097426598447
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
2007
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
145
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
14
19040
random_state
34817
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.033407284623348195
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
22099226
description
https://api.openml.org/data/download/22099226/description.xml
-1
22099227
predictions
https://api.openml.org/data/download/22099227/predictions.arff
area_under_roc_curve
0.8453186052002675 [0.794446,0.809838,0.835504,0.794328,0.819469,0.89527]
average_cost
0
f_measure
0.565097439486919 [0.448659,0.341969,0.456165,0.388781,0.388742,0.774791]
kappa
0.42335906890330205
kb_relative_information_score
0.36711053714031683
mean_absolute_error
0.18279740025567556
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5848316443282119 [0.445363,0.271605,0.427807,0.32577,0.354167,0.868833]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5612525991377642 [0.452004,0.461538,0.48855,0.482014,0.430799,0.699118]
predictive_accuracy
0.5848316443282119
prior_entropy
2.3000072984859514
relative_absolute_error
0.7289602258677674
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.30122975711909794
root_relative_squared_error
0.8507514495086455
total_cost
0
unweighted_recall
0.4489241444352145 [0.445363,0.271605,0.427807,0.32577,0.354167,0.868833]
area_under_roc_curve
0.8503701354760822 [0.809656,0.779329,0.826083,0.778666,0.844045,0.906969]
area_under_roc_curve
0.8571479063399549 [0.823472,0.844747,0.869969,0.833504,0.803279,0.889164]
area_under_roc_curve
0.8409075512259968 [0.77944,0.802371,0.832849,0.795103,0.810348,0.895403]
area_under_roc_curve
0.8542029005280629 [0.800682,0.83117,0.862719,0.784692,0.81415,0.905641]
area_under_roc_curve
0.8276193966539592 [0.761897,0.796643,0.790701,0.785513,0.832889,0.88148]
area_under_roc_curve
0.8413899992003759 [0.781777,0.755392,0.844035,0.807522,0.812581,0.897858]
area_under_roc_curve
0.8416729678809037 [0.815036,0.793218,0.823538,0.805044,0.806349,0.885198]
area_under_roc_curve
0.8559464335814504 [0.761997,0.863215,0.860857,0.814346,0.848636,0.904802]
area_under_roc_curve
0.8457317377925215 [0.80797,0.83992,0.822687,0.778331,0.806907,0.895114]
area_under_roc_curve
0.8443534610341377 [0.813873,0.803156,0.830074,0.761848,0.817953,0.89534]
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
0.5681266497573582 [0.471698,0.28169,0.4,0.414414,0.396552,0.790941]
f_measure
0.5601704606418512 [0.479638,0.272727,0.42963,0.454545,0.376068,0.758261]
f_measure
0.5280694773822769 [0.346154,0.243902,0.492754,0.344086,0.366667,0.754717]
f_measure
0.5802898997332062 [0.440191,0.390244,0.556291,0.316832,0.425926,0.78534]
f_measure
0.5610278755828009 [0.407407,0.433735,0.408759,0.46,0.385965,0.763066]
f_measure
0.5886493655254449 [0.481818,0.368421,0.503497,0.39604,0.4,0.794376]
f_measure
0.5677220454765873 [0.52766,0.368421,0.396947,0.429907,0.336634,0.763066]
f_measure
0.5777718560763571 [0.428571,0.410959,0.471429,0.380952,0.417391,0.790123]
f_measure
0.5387016812391442 [0.432432,0.313253,0.411765,0.297872,0.362069,0.763573]
f_measure
0.5747055001106302 [0.461538,0.325,0.473684,0.375,0.417391,0.785211]
kappa
0.4301041759415902
kappa
0.4175632170234281
kappa
0.37487930989491114
kappa
0.4468657280334263
kappa
0.414419225634179
kappa
0.45649921553536005
kappa
0.428386434169104
kappa
0.4386400958679153
kappa
0.388427076666617
kappa
0.43731415045491534
kb_relative_information_score
0.36512204604015985
kb_relative_information_score
0.38343639133308877
kb_relative_information_score
0.3561038824857244
kb_relative_information_score
0.3753225491405766
kb_relative_information_score
0.3628990615384787
kb_relative_information_score
0.3749562968028596
kb_relative_information_score
0.36780686931527334
kb_relative_information_score
0.3758393483432445
kb_relative_information_score
0.35012142537911745
kb_relative_information_score
0.3594191782726464
mean_absolute_error
0.18249119244869066
mean_absolute_error
0.18008386912989127
mean_absolute_error
0.1834897986011128
mean_absolute_error
0.1811721102533846
mean_absolute_error
0.18409136981386265
mean_absolute_error
0.1819084477532406
mean_absolute_error
0.18311023842452306
mean_absolute_error
0.18119009991589508
mean_absolute_error
0.18598788236050615
mean_absolute_error
0.1844569186931317
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
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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
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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
0.5626796205770749 [0.485437,0.434783,0.424242,0.469388,0.433962,0.713836]
precision
0.5612866674447556 [0.473214,0.5,0.483333,0.520833,0.407407,0.68125]
precision
0.5254200166081916 [0.36,0.30303,0.539683,0.516129,0.385965,0.670732]
precision
0.5754989704516545 [0.46,0.484848,0.552632,0.410256,0.5,0.707547]
precision
0.5611999265752836 [0.411215,0.529412,0.451613,0.605263,0.423077,0.68652]
precision
0.5872449327201923 [0.477477,0.518519,0.529412,0.512821,0.433962,0.719745]
precision
0.568040821001718 [0.492063,0.518519,0.464286,0.511111,0.435897,0.68652]
precision
0.579062372167082 [0.417391,0.625,0.507692,0.454545,0.45283,0.720257]
precision
0.5330832059749154 [0.424779,0.371429,0.459016,0.424242,0.388889,0.692063]
precision
0.5693251374547986 [0.523256,0.40625,0.461538,0.411765,0.461538,0.714744]
predictive_accuracy
0.5898692810457516
predictive_accuracy
0.5816993464052288
predictive_accuracy
0.5522875816993464
predictive_accuracy
0.6013071895424836
predictive_accuracy
0.5784313725490197
predictive_accuracy
0.6078431372549019
predictive_accuracy
0.5898692810457516
predictive_accuracy
0.5947712418300654
predictive_accuracy
0.5597381342062193
predictive_accuracy
0.5924713584288053
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
0.7279992942543723
relative_absolute_error
0.7179359000892009
relative_absolute_error
0.7313578658897744
relative_absolute_error
0.7222390243042919
relative_absolute_error
0.7338765946439091
relative_absolute_error
0.7251744191435466
relative_absolute_error
0.729965333819272
relative_absolute_error
0.7228071420596248
relative_absolute_error
0.7422186510094957
relative_absolute_error
0.7360766120964374
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
0.3008478878546814
root_mean_squared_error
0.2970755427927067
root_mean_squared_error
0.3049421635033123
root_mean_squared_error
0.2981020942355406
root_mean_squared_error
0.30527194273221053
root_mean_squared_error
0.30024530148689377
root_mean_squared_error
0.3021977296341972
root_mean_squared_error
0.29868765480083354
root_mean_squared_error
0.30321563506427884
root_mean_squared_error
0.30159969449266677
root_relative_squared_error
0.849976793660541
root_relative_squared_error
0.8387813581092571
root_relative_squared_error
0.8608084649787385
root_relative_squared_error
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root_relative_squared_error
0.8618814137833831
root_relative_squared_error
0.8476895800225718
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.8569785662993544
root_relative_squared_error
0.8523738268111859
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
0.444698860842806 [0.458716,0.208333,0.378378,0.370968,0.365079,0.886719]
unweighted_recall
0.44462321920317244 [0.486239,0.1875,0.386667,0.403226,0.349206,0.854902]
unweighted_recall
0.41012737711572084 [0.333333,0.204082,0.453333,0.258065,0.349206,0.862745]
unweighted_recall
0.4699890266849563 [0.422018,0.326531,0.56,0.258065,0.370968,0.882353]
unweighted_recall
0.454829996317359 [0.40367,0.367347,0.373333,0.370968,0.354839,0.858824]
unweighted_recall
0.47196261912084553 [0.486239,0.285714,0.48,0.322581,0.370968,0.886275]
unweighted_recall
0.4508621852608065 [0.568807,0.285714,0.346667,0.370968,0.274194,0.858824]
unweighted_recall
0.4627425080182035 [0.440367,0.306122,0.44,0.327869,0.387097,0.875]
unweighted_recall
0.41738566888073286 [0.440367,0.270833,0.373333,0.229508,0.33871,0.851562]
unweighted_recall
0.46107871375856924 [0.412844,0.270833,0.486486,0.344262,0.380952,0.871094]
usercpu_time_millis
38842.049894999946
usercpu_time_millis
38812.031299998125
usercpu_time_millis
38469.353397000305
usercpu_time_millis
38441.477378000855
usercpu_time_millis
38220.715254001334
usercpu_time_millis
38234.213818999706
usercpu_time_millis
37864.1848369989
usercpu_time_millis
37875.7546609977
usercpu_time_millis
37864.74626999916
usercpu_time_millis
37769.80893200016
usercpu_time_millis_testing
17.012299998896196
usercpu_time_millis_testing
18.12709599835216
usercpu_time_millis_testing
18.25703199938289
usercpu_time_millis_testing
17.54233599967847
usercpu_time_millis_testing
16.95266100068693
usercpu_time_millis_testing
17.305968000073335
usercpu_time_millis_testing
16.84752999972261
usercpu_time_millis_testing
16.42240699948161
usercpu_time_millis_testing
17.02759399995557
usercpu_time_millis_testing
11.485351002193056
usercpu_time_millis_training
38825.03759500105
usercpu_time_millis_training
38793.90420399977
usercpu_time_millis_training
38451.09636500092
usercpu_time_millis_training
38423.935042001176
usercpu_time_millis_training
38203.76259300065
usercpu_time_millis_training
38216.90785099963
usercpu_time_millis_training
37847.33730699918
usercpu_time_millis_training
37859.33225399822
usercpu_time_millis_training
37847.718675999204
usercpu_time_millis_training
37758.32358099797
wall_clock_time_millis
39626.025438308716
wall_clock_time_millis
39682.663917541504
wall_clock_time_millis
39343.2674407959
wall_clock_time_millis
39191.46227836609
wall_clock_time_millis
38993.63875389099
wall_clock_time_millis
39001.78098678589
wall_clock_time_millis
38464.79392051697
wall_clock_time_millis
38729.61473464966
wall_clock_time_millis
38503.57532501221
wall_clock_time_millis
38531.83388710022
wall_clock_time_millis_testing
17.23027229309082
wall_clock_time_millis_testing
18.149375915527344
wall_clock_time_millis_testing
18.27239990234375
wall_clock_time_millis_testing
17.68183708190918
wall_clock_time_millis_testing
18.615007400512695
wall_clock_time_millis_testing
17.537832260131836
wall_clock_time_millis_testing
16.85190200805664
wall_clock_time_millis_testing
16.42751693725586
wall_clock_time_millis_testing
17.165422439575195
wall_clock_time_millis_testing
11.489152908325195
wall_clock_time_millis_training
39608.795166015625
wall_clock_time_millis_training
39664.51454162598
wall_clock_time_millis_training
39324.995040893555
wall_clock_time_millis_training
39173.78044128418
wall_clock_time_millis_training
38975.02374649048
wall_clock_time_millis_training
38984.24315452576
wall_clock_time_millis_training
38447.94201850891
wall_clock_time_millis_training
38713.1872177124
wall_clock_time_millis_training
38486.40990257263
wall_clock_time_millis_training
38520.344734191895
weighted_recall
0.5898692810457516 [0.458716,0.208333,0.378378,0.370968,0.365079,0.886719]
weighted_recall
0.5816993464052288 [0.486239,0.1875,0.386667,0.403226,0.349206,0.854902]
weighted_recall
0.5522875816993464 [0.333333,0.204082,0.453333,0.258065,0.349206,0.862745]
weighted_recall
0.6013071895424836 [0.422018,0.326531,0.56,0.258065,0.370968,0.882353]
weighted_recall
0.5784313725490197 [0.40367,0.367347,0.373333,0.370968,0.354839,0.858824]
weighted_recall
0.6078431372549019 [0.486239,0.285714,0.48,0.322581,0.370968,0.886275]
weighted_recall
0.5898692810457516 [0.568807,0.285714,0.346667,0.370968,0.274194,0.858824]
weighted_recall
0.5947712418300654 [0.440367,0.306122,0.44,0.327869,0.387097,0.875]
weighted_recall
0.5597381342062193 [0.440367,0.270833,0.373333,0.229508,0.33871,0.851562]
weighted_recall
0.5924713584288053 [0.412844,0.270833,0.486486,0.344262,0.380952,0.871094]