10586452
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)
8302734
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
0.3312898229666973
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
76
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
191
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
10
19040
random_state
5112
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.30826637246148947
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
22099173
description
https://api.openml.org/data/download/22099173/description.xml
-1
22099174
predictions
https://api.openml.org/data/download/22099174/predictions.arff
area_under_roc_curve
0.8323339155203339 [0.778376,0.799173,0.823647,0.777336,0.80689,0.883698]
average_cost
0
f_measure
0.5513905574932018 [0.43703,0.365915,0.428775,0.363134,0.37928,0.758888]
kappa
0.4037364307822289
kb_relative_information_score
0.36658229751760485
mean_absolute_error
0.18238407121233163
mean_prior_absolute_error
0.2507645736611627
weighted_recall
0.5689767898005884 [0.426997,0.300412,0.402406,0.319287,0.346154,0.844166]
number_of_instances
6118 [1089,486,748,617,624,2554]
precision
0.5458999831045627 [0.447546,0.467949,0.458841,0.42094,0.419417,0.689258]
predictive_accuracy
0.5689767898005884
prior_entropy
2.3000072984859514
relative_absolute_error
0.7273119506057982
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.3054433533477156
root_relative_squared_error
0.8626517449290719
total_cost
0
unweighted_recall
0.4399036528559321 [0.426997,0.300412,0.402406,0.319287,0.346154,0.844166]
area_under_roc_curve
0.8326694244586557 [0.784495,0.732565,0.8244,0.780982,0.826062,0.888485]
area_under_roc_curve
0.8309698812957279 [0.782233,0.829362,0.845487,0.807639,0.763813,0.870099]
area_under_roc_curve
0.8293182564252926 [0.763797,0.79958,0.829522,0.764897,0.799101,0.885852]
area_under_roc_curve
0.8401602619378533 [0.783145,0.818665,0.833892,0.777859,0.798299,0.895831]
area_under_roc_curve
0.8230986958198756 [0.747615,0.823504,0.80396,0.770323,0.822243,0.873955]
area_under_roc_curve
0.838576690104489 [0.790477,0.722623,0.853954,0.782757,0.837185,0.890806]
area_under_roc_curve
0.8263843283293971 [0.800719,0.784011,0.808268,0.788094,0.81956,0.861795]
area_under_roc_curve
0.8396422665569672 [0.760237,0.818447,0.85059,0.795796,0.816173,0.890433]
area_under_roc_curve
0.8379807152457626 [0.784303,0.850096,0.796393,0.774307,0.80297,0.894399]
area_under_roc_curve
0.8292996698682737 [0.790709,0.814443,0.792805,0.734531,0.790204,0.891269]
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
0.546092584422537 [0.45045,0.293333,0.402778,0.303571,0.396552,0.771171]
f_measure
0.5556507109594594 [0.457944,0.379747,0.441558,0.40367,0.368421,0.747292]
f_measure
0.5241818900964087 [0.371429,0.253165,0.41791,0.350515,0.368,0.753022]
f_measure
0.5508756812484971 [0.428571,0.352941,0.496552,0.285714,0.381818,0.762742]
f_measure
0.5714283481938391 [0.42654,0.45,0.403101,0.527273,0.410714,0.756014]
f_measure
0.5734140718522813 [0.487562,0.365854,0.471429,0.433333,0.407767,0.754325]
f_measure
0.5440407419103372 [0.5,0.428571,0.34375,0.376068,0.365385,0.728242]
f_measure
0.5503588319780096 [0.403587,0.346667,0.431655,0.375,0.375,0.77087]
f_measure
0.5386307006711103 [0.428571,0.421053,0.411765,0.26,0.338983,0.75945]
f_measure
0.5547452002945777 [0.41206,0.361446,0.451613,0.291262,0.384,0.786355]
kappa
0.3986977944626936
kappa
0.4088557483334187
kappa
0.36965162844829835
kappa
0.4056475227928171
kappa
0.42766658221434
kappa
0.4323262380296897
kappa
0.3932532092035868
kappa
0.40208154371942295
kappa
0.3869090854631092
kappa
0.41213970688141954
kb_relative_information_score
0.36033203774262396
kb_relative_information_score
0.37695750026025654
kb_relative_information_score
0.34813963612620463
kb_relative_information_score
0.3786935432711526
kb_relative_information_score
0.37703304338446003
kb_relative_information_score
0.3804377494422394
kb_relative_information_score
0.3599725996091251
kb_relative_information_score
0.3637148619853142
kb_relative_information_score
0.360156250297141
kb_relative_information_score
0.3603351644974936
mean_absolute_error
0.18275443039403536
mean_absolute_error
0.1812515940952327
mean_absolute_error
0.1859838096992219
mean_absolute_error
0.17894341964928223
mean_absolute_error
0.18037452157360598
mean_absolute_error
0.1785137100159999
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0.1853041119196569
mean_absolute_error
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mean_absolute_error
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mean_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
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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
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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
0.5393570095054602 [0.442478,0.407407,0.414286,0.34,0.433962,0.715719]
precision
0.5520782168884515 [0.466667,0.483871,0.43038,0.468085,0.411765,0.692308]
precision
0.5200653575975008 [0.382353,0.333333,0.474576,0.485714,0.370968,0.67284]
precision
0.5433520805558244 [0.445545,0.416667,0.514286,0.348837,0.4375,0.691083]
precision
0.5722041269106386 [0.441176,0.580645,0.481481,0.604167,0.46,0.672783]
precision
0.5719909515406594 [0.532609,0.454545,0.507692,0.448276,0.512195,0.674923]
precision
0.5410356283120206 [0.478992,0.514286,0.415094,0.4,0.452381,0.665584]
precision
0.5470446943030127 [0.394737,0.5,0.46875,0.411765,0.42,0.70684]
precision
0.5342739118143058 [0.445545,0.571429,0.459016,0.333333,0.357143,0.677914]
precision
0.5476828805916396 [0.455556,0.428571,0.432099,0.357143,0.387097,0.727575]
predictive_accuracy
0.5620915032679739
predictive_accuracy
0.5686274509803921
predictive_accuracy
0.5473856209150327
predictive_accuracy
0.5702614379084967
predictive_accuracy
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predictive_accuracy
0.5915032679738562
predictive_accuracy
0.5604575163398693
predictive_accuracy
0.5669934640522876
predictive_accuracy
0.5613747954173486
predictive_accuracy
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prior_entropy
2.2982053906988225
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.301686142471426
prior_entropy
2.2983403180467192
prior_entropy
2.2961240491639523
prior_entropy
2.2965513970017746
relative_absolute_error
0.7290494108975948
relative_absolute_error
0.7225912402820769
relative_absolute_error
0.7412985527733197
relative_absolute_error
0.7133543934130813
relative_absolute_error
0.7190594528510821
relative_absolute_error
0.711641364482514
relative_absolute_error
0.7387111669961137
relative_absolute_error
0.731584731391512
relative_absolute_error
0.7333799821553956
relative_absolute_error
0.7324807538873016
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
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
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root_mean_squared_error
0.3081785579491416
root_mean_squared_error
0.3043847225639508
root_mean_squared_error
0.30850561402798116
root_mean_squared_error
0.3028572620244859
root_mean_squared_error
0.3051984815365723
root_mean_squared_error
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root_mean_squared_error
0.30939912170299616
root_mean_squared_error
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root_mean_squared_error
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root_mean_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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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
0.4258307613925492 [0.458716,0.229167,0.391892,0.274194,0.365079,0.835938]
unweighted_recall
0.4525518944383515 [0.449541,0.3125,0.453333,0.354839,0.333333,0.811765]
unweighted_recall
0.40545015855804684 [0.361111,0.204082,0.373333,0.274194,0.365079,0.854902]
unweighted_recall
0.4384320065206708 [0.412844,0.306122,0.48,0.241935,0.33871,0.85098]
unweighted_recall
0.4713854029329992 [0.412844,0.367347,0.346667,0.467742,0.370968,0.862745]
unweighted_recall
0.4681050350494346 [0.449541,0.306122,0.44,0.419355,0.33871,0.854902]
unweighted_recall
0.4414713238555756 [0.522936,0.367347,0.293333,0.354839,0.306452,0.803922]
unweighted_recall
0.4347963969412582 [0.412844,0.265306,0.4,0.344262,0.33871,0.847656]
unweighted_recall
0.41974789210392754 [0.412844,0.333333,0.373333,0.213115,0.322581,0.863281]
unweighted_recall
0.44065708871007364 [0.376147,0.3125,0.472973,0.245902,0.380952,0.855469]
usercpu_time_millis
26364.401507002185
usercpu_time_millis
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usercpu_time_millis
15637.751724998452
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
26520.621944002414
usercpu_time_millis
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usercpu_time_millis
22116.6368209997
usercpu_time_millis
20787.61995199966
usercpu_time_millis
21446.35523100078
usercpu_time_millis_testing
16.83041100113769
usercpu_time_millis_testing
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usercpu_time_millis_testing
13.477331998728914
usercpu_time_millis_testing
16.948104999755742
usercpu_time_millis_testing
16.997665999952005
usercpu_time_millis_testing
16.905375001442735
usercpu_time_millis_testing
16.524896998816985
usercpu_time_millis_testing
15.76614399891696
usercpu_time_millis_testing
15.356613999756519
usercpu_time_millis_testing
11.555815999599872
usercpu_time_millis_training
26347.571096001047
usercpu_time_millis_training
23640.4197009997
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
26470.606409999164
usercpu_time_millis_training
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usercpu_time_millis_training
24680.604903998756
usercpu_time_millis_training
22100.870677000785
usercpu_time_millis_training
20772.263337999902
usercpu_time_millis_training
21434.79941500118
wall_clock_time_millis
26880.71846961975
wall_clock_time_millis
24113.059997558594
wall_clock_time_millis
15888.91339302063
wall_clock_time_millis
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wall_clock_time_millis
26979.370832443237
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
22601.466417312622
wall_clock_time_millis
21189.45002555847
wall_clock_time_millis
21623.456239700317
wall_clock_time_millis_testing
16.872406005859375
wall_clock_time_millis_testing
16.114234924316406
wall_clock_time_millis_testing
13.507604598999023
wall_clock_time_millis_testing
16.975879669189453
wall_clock_time_millis_testing
17.118453979492188
wall_clock_time_millis_testing
16.96610450744629
wall_clock_time_millis_testing
16.684532165527344
wall_clock_time_millis_testing
15.805721282958984
wall_clock_time_millis_testing
15.426874160766602
wall_clock_time_millis_testing
11.559724807739258
wall_clock_time_millis_training
26863.84606361389
wall_clock_time_millis_training
24096.945762634277
wall_clock_time_millis_training
15875.40578842163
wall_clock_time_millis_training
27089.768648147583
wall_clock_time_millis_training
26962.252378463745
wall_clock_time_millis_training
27004.94122505188
wall_clock_time_millis_training
25097.438097000122
wall_clock_time_millis_training
22585.660696029663
wall_clock_time_millis_training
21174.023151397705
wall_clock_time_millis_training
21611.896514892578
weighted_recall
0.5620915032679739 [0.458716,0.229167,0.391892,0.274194,0.365079,0.835938]
weighted_recall
0.5686274509803921 [0.449541,0.3125,0.453333,0.354839,0.333333,0.811765]
weighted_recall
0.5473856209150327 [0.361111,0.204082,0.373333,0.274194,0.365079,0.854902]
weighted_recall
0.5702614379084967 [0.412844,0.306122,0.48,0.241935,0.33871,0.85098]
weighted_recall
0.5898692810457516 [0.412844,0.367347,0.346667,0.467742,0.370968,0.862745]
weighted_recall
0.5915032679738562 [0.449541,0.306122,0.44,0.419355,0.33871,0.854902]
weighted_recall
0.5604575163398693 [0.522936,0.367347,0.293333,0.354839,0.306452,0.803922]
weighted_recall
0.5669934640522876 [0.412844,0.265306,0.4,0.344262,0.33871,0.847656]
weighted_recall
0.5613747954173486 [0.412844,0.333333,0.373333,0.213115,0.322581,0.863281]
weighted_recall
0.5711947626841244 [0.376147,0.3125,0.472973,0.245902,0.380952,0.855469]