10559715
3180
Claudio Rebelo Sá
31
Supervised Classification
18703
sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=randomsubgroups._randomsubgroups.RandomSubgroupClassifier)(1)
8276243
add_indicator
false
18585
copy
true
18585
fill_value
null
18585
missing_values
NaN
18585
strategy
"mean"
18585
verbose
0
18585
memory
null
18703
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
18703
verbose
false
18703
bootstrap
true
18704
intervals_only
false
18704
max_depth
1
18704
max_features
"auto"
18704
max_samples
null
18704
n_bins
20
18704
n_estimators
100
18704
n_jobs
null
18704
quality_function_weight
0.5
18704
result_set_size
1
18704
search_strategy
"bestfirst"
18704
verbose
0
18704
openml-python
random-subgroups_0.1.1
Sklearn_0.23.1.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
22044659
description
https://api.openml.org/data/download/22044659/description.xml
-1
22044660
predictions
https://api.openml.org/data/download/22044660/predictions.arff
area_under_roc_curve
0.7236702380952381 [0.728038,0.713479]
average_cost
0
f_measure
0.7202899352625464 [0.791789,0.553459]
kappa
0.34622467771639037
kb_relative_information_score
-1.2622303151719771
mean_absolute_error
0.46273999999999993
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.716 [0.771429,0.586667]
number_of_instances
1000 [700,300]
precision
0.726419965576592 [0.813253,0.52381]
predictive_accuracy
0.716
prior_entropy
0.8812914463598482
relative_absolute_error
1.1013431828978644
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.6032254968086154
root_relative_squared_error
1.3163454530363643
total_cost
0
unweighted_recall
0.6790476190476191 [0.771429,0.586667]
area_under_roc_curve
0.7829285714285714 [0.812143,0.714762]
area_under_roc_curve
0.7018095238095239 [0.701667,0.702143]
area_under_roc_curve
0.6901904761904762 [0.710476,0.642857]
area_under_roc_curve
0.6918333333333334 [0.674762,0.731667]
area_under_roc_curve
0.6887619047619047 [0.678333,0.713095]
area_under_roc_curve
0.7635952380952381 [0.788095,0.706429]
area_under_roc_curve
0.7924285714285715 [0.790714,0.796429]
area_under_roc_curve
0.7469523809523809 [0.743095,0.755952]
area_under_roc_curve
0.7432619047619048 [0.750476,0.726429]
area_under_roc_curve
0.7221666666666667 [0.745952,0.666667]
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
0.7679120879120879 [0.815385,0.657143]
f_measure
0.6767362797474503 [0.774648,0.448276]
f_measure
0.6632509977348723 [0.724409,0.520548]
f_measure
0.6738539898132428 [0.725806,0.552632]
f_measure
0.7026647966339412 [0.782609,0.516129]
f_measure
0.74294670846395 [0.827586,0.545455]
f_measure
0.7532151546750088 [0.817518,0.603175]
f_measure
0.7525611569130963 [0.847682,0.530612]
f_measure
0.748024948024948 [0.837838,0.538462]
f_measure
0.6933165195460278 [0.737705,0.589744]
kappa
0.47826086956521735
kappa
0.2233009708737866
kappa
0.2584745762711865
kappa
0.29752066115702486
kappa
0.29906542056074764
kappa
0.37500000000000006
kappa
0.4212962962962964
kappa
0.38829787234042556
kappa
0.3814432989690722
kappa
0.3495934959349594
kb_relative_information_score
-1.2797310797436716
kb_relative_information_score
-1.2747602142435215
kb_relative_information_score
-1.3083592202717602
kb_relative_information_score
-1.2700932809414898
kb_relative_information_score
-1.3006299050573886
kb_relative_information_score
-1.2334928856103176
kb_relative_information_score
-1.22643187718613
kb_relative_information_score
-1.1923124347178606
kb_relative_information_score
-1.2316831095777352
kb_relative_information_score
-1.3048091443697494
mean_absolute_error
0.4677499999999999
mean_absolute_error
0.4619499999999997
mean_absolute_error
0.47739999999999994
mean_absolute_error
0.46985000000000016
mean_absolute_error
0.47080000000000005
mean_absolute_error
0.4552000000000001
mean_absolute_error
0.44579999999999975
mean_absolute_error
0.44665000000000016
mean_absolute_error
0.45499999999999985
mean_absolute_error
0.4770000000000001
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.7908333333333333 [0.883333,0.575]
precision
0.6740079365079364 [0.763889,0.464286]
precision
0.6974704202366381 [0.807018,0.44186]
precision
0.7202898550724638 [0.833333,0.456522]
precision
0.7058823529411765 [0.794118,0.5]
precision
0.74 [0.8,0.6]
precision
0.7578018995929443 [0.835821,0.575758]
precision
0.7583495776478233 [0.790123,0.684211]
precision
0.7473193473193472 [0.794872,0.636364]
precision
0.7495192307692308 [0.865385,0.479167]
predictive_accuracy
0.76
predictive_accuracy
0.68
predictive_accuracy
0.65
predictive_accuracy
0.66
predictive_accuracy
0.7
predictive_accuracy
0.75
predictive_accuracy
0.75
predictive_accuracy
0.77
predictive_accuracy
0.76
predictive_accuracy
0.68
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
relative_absolute_error
1.1132672209026109
relative_absolute_error
1.0994629453681686
relative_absolute_error
1.136234679334915
relative_absolute_error
1.1182653206650817
relative_absolute_error
1.1205263657957227
relative_absolute_error
1.0833976247030863
relative_absolute_error
1.0610251781472662
relative_absolute_error
1.0630482185273145
relative_absolute_error
1.0829216152018981
relative_absolute_error
1.1352826603325399
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_squared_error
0.6084517236395999
root_mean_squared_error
0.6069246246446094
root_mean_squared_error
0.6176001943004876
root_mean_squared_error
0.6078630602364319
root_mean_squared_error
0.6147918346887831
root_mean_squared_error
0.5926845704082402
root_mean_squared_error
0.5908916990447574
root_mean_squared_error
0.5810546445903344
root_mean_squared_error
0.5924499978901172
root_mean_squared_error
0.6182984716138314
root_relative_squared_error
1.3277500106386182
root_relative_squared_error
1.3244176086943582
root_relative_squared_error
1.3477136027288195
root_relative_squared_error
1.3264654422670414
root_relative_squared_error
1.341585261959213
root_relative_squared_error
1.293343274561922
root_relative_squared_error
1.289430909982365
root_relative_squared_error
1.2679647054355452
root_relative_squared_error
1.2928313955560244
root_relative_squared_error
1.3492373681718277
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
0.7619047619047619 [0.757143,0.766667]
unweighted_recall
0.6095238095238096 [0.785714,0.433333]
unweighted_recall
0.6452380952380952 [0.657143,0.633333]
unweighted_recall
0.6714285714285715 [0.642857,0.7]
unweighted_recall
0.6523809523809524 [0.771429,0.533333]
unweighted_recall
0.6785714285714286 [0.857143,0.5]
unweighted_recall
0.7166666666666667 [0.8,0.633333]
unweighted_recall
0.6738095238095239 [0.914286,0.433333]
unweighted_recall
0.6761904761904762 [0.885714,0.466667]
unweighted_recall
0.7047619047619048 [0.642857,0.766667]
usercpu_time_millis
1000
usercpu_time_millis
1125
usercpu_time_millis
1078.125
usercpu_time_millis
984.375
usercpu_time_millis
1093.75
usercpu_time_millis
1062.5
usercpu_time_millis
1125
usercpu_time_millis
1109.375
usercpu_time_millis
1093.75
usercpu_time_millis
1062.5
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_training
984.375
usercpu_time_millis_training
1109.375
usercpu_time_millis_training
1078.125
usercpu_time_millis_training
984.375
usercpu_time_millis_training
1078.125
usercpu_time_millis_training
1046.875
usercpu_time_millis_training
1109.375
usercpu_time_millis_training
1109.375
usercpu_time_millis_training
1093.75
usercpu_time_millis_training
1046.875
wall_clock_time_millis
1004.1165351867676
wall_clock_time_millis
1123.3844757080078
wall_clock_time_millis
1077.7671337127686
wall_clock_time_millis
994.121789932251
wall_clock_time_millis
1088.9344215393066
wall_clock_time_millis
1060.5649948120117
wall_clock_time_millis
1152.8642177581787
wall_clock_time_millis
1111.128330230713
wall_clock_time_millis
1090.5296802520752
wall_clock_time_millis
1047.919750213623
wall_clock_time_millis_testing
5.021572113037109
wall_clock_time_millis_testing
8.018970489501953
wall_clock_time_millis_testing
6.237506866455078
wall_clock_time_millis_testing
5.984067916870117
wall_clock_time_millis_testing
4.987239837646484
wall_clock_time_millis_testing
5.985498428344727
wall_clock_time_millis_testing
4.9877166748046875
wall_clock_time_millis_testing
7.023811340332031
wall_clock_time_millis_testing
9.192943572998047
wall_clock_time_millis_testing
6.304502487182617
wall_clock_time_millis_training
999.0949630737305
wall_clock_time_millis_training
1115.3655052185059
wall_clock_time_millis_training
1071.5296268463135
wall_clock_time_millis_training
988.1377220153809
wall_clock_time_millis_training
1083.9471817016602
wall_clock_time_millis_training
1054.579496383667
wall_clock_time_millis_training
1147.876501083374
wall_clock_time_millis_training
1104.1045188903809
wall_clock_time_millis_training
1081.3367366790771
wall_clock_time_millis_training
1041.6152477264404
weighted_recall
0.76 [0.757143,0.766667]
weighted_recall
0.68 [0.785714,0.433333]
weighted_recall
0.65 [0.657143,0.633333]
weighted_recall
0.66 [0.642857,0.7]
weighted_recall
0.7 [0.771429,0.533333]
weighted_recall
0.75 [0.857143,0.5]
weighted_recall
0.75 [0.8,0.633333]
weighted_recall
0.77 [0.914286,0.433333]
weighted_recall
0.76 [0.885714,0.466667]
weighted_recall
0.68 [0.642857,0.766667]