10559506
8323
Heinrich Peters
9971
Supervised Classification
18298
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(4)
8276138
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"most_frequent"
17407
verbose
0
17407
categorical_features
null
17408
categories
null
17408
drop
null
17408
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
17408
handle_unknown
"ignore"
17408
n_values
null
17408
sparse
true
17408
C
0.04627508381299772
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.563230253602446
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.00011061707084433878
17495
kernel
"sigmoid"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
memory
null
18298
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
18298
verbose
false
18298
n_jobs
null
18299
remainder
"drop"
18299
sparse_threshold
0.3
18299
transformer_weights
null
18299
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, false, false, false, false, false, false, false]}}]
18299
verbose
false
18299
memory
null
18300
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
18300
verbose
false
18300
memory
null
18301
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
18301
verbose
false
18301
openml-python
Sklearn_0.21.2.
1480
ilpd
https://www.openml.org/data/download/1590565/phpOJxGL9
-1
22043984
description
https://api.openml.org/data/download/22043984/description.xml
-1
22043985
predictions
https://api.openml.org/data/download/22043985/predictions.arff
area_under_roc_curve
0.5870566559189314 [0.587057,0.587057]
average_cost
0
f_measure
0.5073969244389207 [0.525806,0.461538]
kappa
0.10603342165105455
kb_relative_information_score
-0.4219087647843843
mean_absolute_error
0.5278623948633191
mean_prior_absolute_error
0.40910410344372566
weighted_recall
0.4957118353344768 [0.391827,0.754491]
number_of_instances
583 [416,167]
precision
0.6653721196928832 [0.79902,0.332454]
predictive_accuracy
0.4957118353344769
prior_entropy
0.8640923064827097
relative_absolute_error
1.2902886830513771
root_mean_prior_squared_error
0.4521025039976148
root_mean_squared_error
0.607155230386303
root_relative_squared_error
1.3429592294173762
total_cost
0
unweighted_recall
0.5731589705204975 [0.391827,0.754491]
area_under_roc_curve
0.7815126050420167 [0.781513,0.781513]
area_under_roc_curve
0.6386554621848739 [0.638655,0.638655]
area_under_roc_curve
0.7352941176470589 [0.735294,0.735294]
area_under_roc_curve
0.6714490674318508 [0.671449,0.671449]
area_under_roc_curve
0.5839311334289815 [0.583931,0.583931]
area_under_roc_curve
0.6154949784791965 [0.615495,0.615495]
area_under_roc_curve
0.8134863701578192 [0.813486,0.813486]
area_under_roc_curve
0.736607142857143 [0.736607,0.736607]
area_under_roc_curve
0.8050595238095238 [0.80506,0.80506]
area_under_roc_curve
0.6636904761904762 [0.66369,0.66369]
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
0.7728218852215284 [0.815789,0.666667]
f_measure
0.6199551266455815 [0.828283,0.105263]
f_measure
0.34536968803733725 [0.285714,0.492754]
f_measure
0.532907824933687 [0.5625,0.461538]
f_measure
0.23480494601184257 [0.136364,0.472222]
f_measure
0.47828691224917635 [0.45283,0.539683]
f_measure
0.31085192697768765 [0.25,0.470588]
f_measure
0.22088392423506556 [0.133333,0.450704]
f_measure
0.15460667245224152 [0.046512,0.438356]
kappa
0.49262899262899257
kappa
0.04748338081671427
kappa
0.10334346504559278
kappa
0
kappa
0.11062431544359265
kappa
0.04423243712055513
kappa
0.19521531100478468
kappa
0.0842105263157894
kappa
0.04071246819338419
kappa
0.013278008298755174
kb_relative_information_score
-0.15171815920396173
kb_relative_information_score
-0.14304275005100364
kb_relative_information_score
-0.47478724310219816
kb_relative_information_score
0.031243497825740207
kb_relative_information_score
-0.3180503567632215
kb_relative_information_score
-0.7005479073289668
kb_relative_information_score
-0.32922097534683864
kb_relative_information_score
-0.5875214841568783
kb_relative_information_score
-0.7359746069972395
kb_relative_information_score
-0.837448397299559
mean_absolute_error
0.4366779511584057
mean_absolute_error
0.4368700150032048
mean_absolute_error
0.54026393448906
mean_absolute_error
0.3857261112405192
mean_absolute_error
0.49019113348587207
mean_absolute_error
0.644956553160031
mean_absolute_error
0.4886949271208694
mean_absolute_error
0.5619367850470852
mean_absolute_error
0.6262493329581427
mean_absolute_error
0.669984365037923
mean_prior_absolute_error
0.40982181660147726
mean_prior_absolute_error
0.40982181660147726
mean_prior_absolute_error
0.40982181660147726
mean_prior_absolute_error
0.41193633952254605
mean_prior_absolute_error
0.41193633952254605
mean_prior_absolute_error
0.41193633952254605
mean_prior_absolute_error
0.41193633952254605
mean_prior_absolute_error
0.40459770114942495
mean_prior_absolute_error
0.40459770114942495
mean_prior_absolute_error
0.40459770114942495
number_of_instances
59 [42,17]
number_of_instances
59 [42,17]
number_of_instances
59 [42,17]
number_of_instances
58 [41,17]
number_of_instances
58 [41,17]
number_of_instances
58 [41,17]
number_of_instances
58 [41,17]
number_of_instances
58 [42,16]
number_of_instances
58 [42,16]
number_of_instances
58 [42,16]
precision
0.8104087736789632 [0.911765,0.56]
precision
0.6561106155218555 [0.719298,0.5]
precision
0.8060625814863103 [1,0.326923]
precision
0.6537159991432856 [0.782609,0.342857]
precision
0.7974921630094043 [1,0.309091]
precision
0.8152173913043478 [1,0.369565]
precision
0.8090185676392573 [1,0.307692]
precision
0.8043887147335423 [1,0.290909]
precision
0.8015728977616455 [1,0.280702]
predictive_accuracy
0.7627118644067796
predictive_accuracy
0.711864406779661
predictive_accuracy
0.4067796610169491
predictive_accuracy
0.7068965517241379
predictive_accuracy
0.5172413793103449
predictive_accuracy
0.3448275862068966
predictive_accuracy
0.5
predictive_accuracy
0.3793103448275862
predictive_accuracy
0.32758620689655177
predictive_accuracy
0.29310344827586204
prior_entropy
0.866303894607806
prior_entropy
0.866303894607806
prior_entropy
0.866303894607806
prior_entropy
0.8728196644971457
prior_entropy
0.8728196644971457
prior_entropy
0.8728196644971457
prior_entropy
0.8728196644971457
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
relative_absolute_error
1.0655312466760258
relative_absolute_error
1.0659998987511932
relative_absolute_error
1.3182898337850775
relative_absolute_error
0.9363731097081511
relative_absolute_error
1.1899681733687955
relative_absolute_error
1.5656704477870695
relative_absolute_error
1.186336043300502
relative_absolute_error
1.3888778494061491
relative_absolute_error
1.5478321581635925
relative_absolute_error
1.655927265860777
root_mean_prior_squared_error
0.4528955589080818
root_mean_prior_squared_error
0.4528955589080818
root_mean_prior_squared_error
0.4528955589080818
root_mean_prior_squared_error
0.4552240219932737
root_mean_prior_squared_error
0.4552240219932737
root_mean_prior_squared_error
0.4552240219932737
root_mean_prior_squared_error
0.4552240219932737
root_mean_prior_squared_error
0.44709089884117686
root_mean_prior_squared_error
0.44709089884117686
root_mean_prior_squared_error
0.44709089884117686
root_mean_squared_error
0.4507490209238032
root_mean_squared_error
0.45350576452430347
root_mean_squared_error
0.6240467699810546
root_mean_squared_error
0.44112396592648345
root_mean_squared_error
0.5172235805651489
root_mean_squared_error
0.783163248290492
root_mean_squared_error
0.5481867790387123
root_mean_squared_error
0.6130761608314652
root_mean_squared_error
0.7251468001765349
root_mean_squared_error
0.7846897545736434
root_relative_squared_error
0.9952604128213273
root_relative_squared_error
1.0013473429010715
root_relative_squared_error
1.3779043704593028
root_relative_squared_error
0.9690261159658253
root_relative_squared_error
1.1361957093134054
root_relative_squared_error
1.720390863516565
root_relative_squared_error
1.2042132061449344
root_relative_squared_error
1.371256186203988
root_relative_squared_error
1.6219225263946464
root_relative_squared_error
1.755101158640212
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
0.780812324929972 [0.738095,0.823529]
unweighted_recall
0.5175070028011204 [0.97619,0.058824]
unweighted_recall
0.5833333333333334 [0.166667,1]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5724533715925395 [0.439024,0.705882]
unweighted_recall
0.5365853658536586 [0.073171,1]
unweighted_recall
0.6463414634146342 [0.292683,1]
unweighted_recall
0.5714285714285714 [0.142857,1]
unweighted_recall
0.5357142857142857 [0.071429,1]
unweighted_recall
0.5119047619047619 [0.02381,1]
usercpu_time_millis
50.61200000000099
usercpu_time_millis
50.930000000334985
usercpu_time_millis
62.8380000002835
usercpu_time_millis
54.27800000006755
usercpu_time_millis
53.335999999490014
usercpu_time_millis
52.43599999948856
usercpu_time_millis
50.48999999962689
usercpu_time_millis
58.867999999620224
usercpu_time_millis
51.71599999994214
usercpu_time_millis
51.02200000010271
usercpu_time_millis_testing
3.0759999999645515
usercpu_time_millis_testing
2.858000000287575
usercpu_time_millis_testing
3.963999999996304
usercpu_time_millis_testing
3.9959999999155116
usercpu_time_millis_testing
2.7479999998831772
usercpu_time_millis_testing
2.8639999995903054
usercpu_time_millis_testing
2.939999999853171
usercpu_time_millis_testing
3.2159999996110855
usercpu_time_millis_testing
3.169999999954598
usercpu_time_millis_testing
2.9159999999137654
usercpu_time_millis_training
47.53600000003644
usercpu_time_millis_training
48.07200000004741
usercpu_time_millis_training
58.8740000002872
usercpu_time_millis_training
50.28200000015204
usercpu_time_millis_training
50.587999999606836
usercpu_time_millis_training
49.57199999989825
usercpu_time_millis_training
47.54999999977372
usercpu_time_millis_training
55.65200000000914
usercpu_time_millis_training
48.545999999987544
usercpu_time_millis_training
48.10600000018894
wall_clock_time_millis
25.461673736572266
wall_clock_time_millis
25.562286376953125
wall_clock_time_millis
32.57489204406738
wall_clock_time_millis
28.25331687927246
wall_clock_time_millis
26.973962783813477
wall_clock_time_millis
26.32880210876465
wall_clock_time_millis
25.285005569458008
wall_clock_time_millis
29.61277961730957
wall_clock_time_millis
25.99334716796875
wall_clock_time_millis
25.58732032775879
wall_clock_time_millis_testing
1.542806625366211
wall_clock_time_millis_testing
1.4331340789794922
wall_clock_time_millis_testing
3.0519962310791016
wall_clock_time_millis_testing
2.0890235900878906
wall_clock_time_millis_testing
1.377105712890625
wall_clock_time_millis_testing
1.4348030090332031
wall_clock_time_millis_testing
1.4727115631103516
wall_clock_time_millis_testing
1.6129016876220703
wall_clock_time_millis_testing
1.62506103515625
wall_clock_time_millis_testing
1.4619827270507812
wall_clock_time_millis_training
23.918867111206055
wall_clock_time_millis_training
24.129152297973633
wall_clock_time_millis_training
29.52289581298828
wall_clock_time_millis_training
26.16429328918457
wall_clock_time_millis_training
25.59685707092285
wall_clock_time_millis_training
24.893999099731445
wall_clock_time_millis_training
23.812294006347656
wall_clock_time_millis_training
27.9998779296875
wall_clock_time_millis_training
24.3682861328125
wall_clock_time_millis_training
24.125337600708008
weighted_recall
0.7627118644067796 [0.738095,0.823529]
weighted_recall
0.711864406779661 [0.97619,0.058824]
weighted_recall
0.4067796610169492 [0.166667,1]
weighted_recall
0.7068965517241379 [1,0]
weighted_recall
0.5172413793103449 [0.439024,0.705882]
weighted_recall
0.3448275862068966 [0.073171,1]
weighted_recall
0.5 [0.292683,1]
weighted_recall
0.3793103448275862 [0.142857,1]
weighted_recall
0.3275862068965517 [0.071429,1]
weighted_recall
0.29310344827586204 [0.02381,1]