10586601
28997
Marc Boel
9977
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)
8302883
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
0.6817042288927586
19040
loss
"deviance"
19040
max_depth
3
19040
max_features
null
19040
max_leaf_nodes
1345
19040
min_impurity_decrease
0.0
19040
min_samples_leaf
141
19040
min_samples_split
2
19040
min_weight_fraction_leaf
0.0
19040
n_estimators
100
19040
n_iter_no_change
9
19040
random_state
14585
19040
subsample
1.0
19040
tol
0.0001
19040
validation_fraction
0.21488803479878626
19040
verbose
0
19040
warm_start
false
19040
openml-python
Sklearn_1.0.1.
1486
nomao
https://www.openml.org/data/download/1592278/phpDYCOet
-1
22099473
description
https://api.openml.org/data/download/22099473/description.xml
-1
22099474
predictions
https://api.openml.org/data/download/22099474/predictions.arff
area_under_roc_curve
0.9934478246494797 [0.993448,0.993448]
average_cost
0
f_measure
0.9660571209710348 [0.940482,0.976283]
kappa
0.9167645760368893
kb_relative_information_score
0.8851778574826428
mean_absolute_error
0.04740822658721976
mean_prior_absolute_error
0.4080904194746198
weighted_recall
0.9660815319889743 [0.938236,0.977215]
number_of_instances
34465 [9844,24621]
precision
0.9660370546869902 [0.942738,0.975353]
predictive_accuracy
0.9660815319889743
prior_entropy
0.8629999933345911
relative_absolute_error
0.11617088842284912
root_mean_prior_squared_error
0.4517106852187937
root_mean_squared_error
0.1591096663369916
root_relative_squared_error
0.3522379955655115
total_cost
0
unweighted_recall
0.9577255310787854 [0.938236,0.977215]
area_under_roc_curve
0.9936305285708157 [0.993631,0.993631]
area_under_roc_curve
0.9941795494563044 [0.99418,0.99418]
area_under_roc_curve
0.9914266392310325 [0.991427,0.991427]
area_under_roc_curve
0.9945407761425443 [0.994541,0.994541]
area_under_roc_curve
0.9936253386500183 [0.993625,0.993625]
area_under_roc_curve
0.9931127941458131 [0.993113,0.993113]
area_under_roc_curve
0.993052322125577 [0.993052,0.993052]
area_under_roc_curve
0.9950346898879224 [0.995035,0.995035]
area_under_roc_curve
0.9926395438304505 [0.99264,0.99264]
area_under_roc_curve
0.9936196858922284 [0.99362,0.99362]
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
0.968963245781464 [0.945658,0.978274]
f_measure
0.9713355021596832 [0.950076,0.979841]
f_measure
0.9582624841590304 [0.927126,0.97072]
f_measure
0.9683734804075897 [0.944642,0.977868]
f_measure
0.9666325710722277 [0.941595,0.97665]
f_measure
0.9665817586611632 [0.941297,0.976688]
f_measure
0.9651125272604051 [0.93865,0.975689]
f_measure
0.9685717411395827 [0.944615,0.978146]
f_measure
0.9658091166488528 [0.940344,0.975987]
f_measure
0.9608931639923424 [0.930642,0.972984]
kappa
0.9239318137804176
kappa
0.9299180320293854
kappa
0.8978456892999839
kappa
0.9225099785239765
kappa
0.9182444727546543
kappa
0.9179848813534346
kappa
0.9143404012031123
kappa
0.9227644807259848
kappa
0.9163316183799328
kappa
0.9036387251440315
kb_relative_information_score
0.8888709149987801
kb_relative_information_score
0.8920056735010984
kb_relative_information_score
0.859478605727515
kb_relative_information_score
0.8878861640109095
kb_relative_information_score
0.890667772026865
kb_relative_information_score
0.8853856786037771
kb_relative_information_score
0.8865329969850524
kb_relative_information_score
0.8947284360666916
kb_relative_information_score
0.883064324458536
kb_relative_information_score
0.8831638944627881
mean_absolute_error
0.0460856350007747
mean_absolute_error
0.04523813378770125
mean_absolute_error
0.05781904179640881
mean_absolute_error
0.046933449375395904
mean_absolute_error
0.0447193848078166
mean_absolute_error
0.047285468519486125
mean_absolute_error
0.046408158716253735
mean_absolute_error
0.043883617218888005
mean_absolute_error
0.047875357404049225
mean_absolute_error
0.04783292971790242
mean_prior_absolute_error
0.4080229059806574
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.4081472833897437
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
mean_prior_absolute_error
0.40805842175852763
number_of_instances
3447 [984,2463]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3447 [985,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
number_of_instances
3446 [984,2462]
precision
0.9689681738095091 [0.945178,0.978473]
precision
0.971424775888204 [0.943888,0.982442]
precision
0.9583073745302539 [0.924319,0.971906]
precision
0.9683688576856658 [0.945122,0.97767]
precision
0.9666276825322886 [0.942073,0.976451]
precision
0.966551534746675 [0.945641,0.974909]
precision
0.9650764546368321 [0.944444,0.973323]
precision
0.9685486792651613 [0.953416,0.974597]
precision
0.9658803351114577 [0.935614,0.977977]
precision
0.9609298376350308 [0.948312,0.965973]
predictive_accuracy
0.9689585146504207
predictive_accuracy
0.9712793733681463
predictive_accuracy
0.95822454308094
predictive_accuracy
0.9683782999709892
predictive_accuracy
0.9666376559326951
predictive_accuracy
0.9666279744631457
predictive_accuracy
0.9651770168311086
predictive_accuracy
0.9686593151479976
predictive_accuracy
0.9657573998839234
predictive_accuracy
0.9611143354614045
prior_entropy
0.862791736866817
prior_entropy
0.863175399426382
prior_entropy
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prior_entropy
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prior_entropy
0.863175399426382
prior_entropy
0.862901291120622
prior_entropy
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prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
prior_entropy
0.862901291120622
relative_absolute_error
0.11294864657171827
relative_absolute_error
0.11083776770970916
relative_absolute_error
0.14166219928308788
relative_absolute_error
0.11499145354001711
relative_absolute_error
0.1095667829426997
relative_absolute_error
0.1158791633700621
relative_absolute_error
0.11372920209870388
relative_absolute_error
0.10754248626893075
relative_absolute_error
0.11732476246349821
relative_absolute_error
0.11722078792484279
root_mean_prior_squared_error
0.4516359481339797
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.45177362368332785
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_prior_squared_error
0.4516752654560011
root_mean_squared_error
0.15485547123432566
root_mean_squared_error
0.1521611878982464
root_mean_squared_error
0.1738366045985275
root_mean_squared_error
0.15405491854576753
root_mean_squared_error
0.15907052493229465
root_mean_squared_error
0.15885017263961793
root_mean_squared_error
0.16119153942729345
root_mean_squared_error
0.15056808742934724
root_mean_squared_error
0.1610838096072232
root_mean_squared_error
0.1641198438546205
root_relative_squared_error
0.342876761414012
root_relative_squared_error
0.33680848088843773
root_relative_squared_error
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root_relative_squared_error
0.34100024983696875
root_relative_squared_error
0.35210228440382707
root_relative_squared_error
0.3516911037385374
root_relative_squared_error
0.3568748429572695
root_relative_squared_error
0.3333547328019769
root_relative_squared_error
0.3566363312912356
root_relative_squared_error
0.3633580503659611
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
0.9621068645217512 [0.946138,0.978076]
unweighted_recall
0.96679972124516 [0.956345,0.977254]
unweighted_recall
0.9497431001991694 [0.929949,0.969537]
unweighted_recall
0.9611145245291889 [0.944162,0.978067]
unweighted_recall
0.9589824211259881 [0.941117,0.976848]
unweighted_recall
0.957732328135629 [0.936992,0.978473]
unweighted_recall
0.9554967208892235 [0.932927,0.978067]
unweighted_recall
0.9588488934239465 [0.935976,0.981722]
unweighted_recall
0.9595634126528105 [0.945122,0.974005]
unweighted_recall
0.9468576839505194 [0.913618,0.980097]
usercpu_time_millis
34007.3204529981
usercpu_time_millis
34285.796074000245
usercpu_time_millis
18909.826831004466
usercpu_time_millis
30960.23551699909
usercpu_time_millis
33344.29074000218
usercpu_time_millis
32986.96073700194
usercpu_time_millis
34019.39456200125
usercpu_time_millis
32459.74673800083
usercpu_time_millis
33777.323755995894
usercpu_time_millis
29263.131081999745
usercpu_time_millis_testing
76.32877899959567
usercpu_time_millis_testing
80.94986899959622
usercpu_time_millis_testing
73.33881700105849
usercpu_time_millis_testing
76.69559399801074
usercpu_time_millis_testing
77.06235400110018
usercpu_time_millis_testing
73.8473570017959
usercpu_time_millis_testing
77.36825800020597
usercpu_time_millis_testing
74.74941200052854
usercpu_time_millis_testing
74.93284499651054
usercpu_time_millis_testing
49.65532400092343
usercpu_time_millis_training
33930.991673998506
usercpu_time_millis_training
34204.84620500065
usercpu_time_millis_training
18836.488014003407
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
32913.11338000014
usercpu_time_millis_training
33942.02630400105
usercpu_time_millis_training
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usercpu_time_millis_training
33702.390910999384
usercpu_time_millis_training
29213.47575799882
wall_clock_time_millis
34570.43433189392
wall_clock_time_millis
34892.249584198
wall_clock_time_millis
19165.130615234375
wall_clock_time_millis
31624.517917633057
wall_clock_time_millis
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wall_clock_time_millis
33536.35120391846
wall_clock_time_millis
34637.06016540527
wall_clock_time_millis
33031.235694885254
wall_clock_time_millis
34268.720388412476
wall_clock_time_millis
29701.21693611145
wall_clock_time_millis_testing
76.45630836486816
wall_clock_time_millis_testing
81.06207847595215
wall_clock_time_millis_testing
73.44937324523926
wall_clock_time_millis_testing
80.21831512451172
wall_clock_time_millis_testing
77.42571830749512
wall_clock_time_millis_testing
75.06752014160156
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
75.55484771728516
wall_clock_time_millis_testing
49.77059364318848
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
31544.299602508545
wall_clock_time_millis_training
33764.89210128784
wall_clock_time_millis_training
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wall_clock_time_millis_training
34548.2132434845
wall_clock_time_millis_training
32953.136920928955
wall_clock_time_millis_training
34193.16554069519
wall_clock_time_millis_training
29651.44634246826
weighted_recall
0.9689585146504207 [0.946138,0.978076]
weighted_recall
0.9712793733681462 [0.956345,0.977254]
weighted_recall
0.95822454308094 [0.929949,0.969537]
weighted_recall
0.9683782999709892 [0.944162,0.978067]
weighted_recall
0.9666376559326951 [0.941117,0.976848]
weighted_recall
0.9666279744631456 [0.936992,0.978473]
weighted_recall
0.9651770168311086 [0.932927,0.978067]
weighted_recall
0.9686593151479976 [0.935976,0.981722]
weighted_recall
0.9657573998839234 [0.945122,0.974005]
weighted_recall
0.9611143354614046 [0.913618,0.980097]