10559524
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)
8276156
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
5.266616263789896
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.7111819894510212
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.012541197776805249
17495
kernel
"rbf"
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
22044020
description
https://api.openml.org/data/download/22044020/description.xml
-1
22044021
predictions
https://api.openml.org/data/download/22044021/predictions.arff
area_under_roc_curve
0.6909546292031322 [0.690955,0.690955]
average_cost
0
f_measure
0.5978537870996997 [0.828629,0.022989]
kappa
-0.000060542460445447264
kb_relative_information_score
0.03357206761142534
mean_absolute_error
0.3876450841076564
mean_prior_absolute_error
0.40910410344372566
weighted_recall
0.7084048027444254 [0.987981,0.011976]
number_of_instances
583 [416,167]
precision
0.5909907702360533 [0.713542,0.285714]
predictive_accuracy
0.7084048027444254
prior_entropy
0.8640923064827097
relative_absolute_error
0.9475463111823297
root_mean_prior_squared_error
0.4521025039976148
root_mean_squared_error
0.43857375428138035
root_relative_squared_error
0.9700759239406781
total_cost
0
unweighted_recall
0.49997840856748044 [0.987981,0.011976]
area_under_roc_curve
0.6050420168067228 [0.605042,0.605042]
area_under_roc_curve
0.6330532212885154 [0.633053,0.633053]
area_under_roc_curve
0.6834733893557423 [0.683473,0.683473]
area_under_roc_curve
0.641319942611191 [0.64132,0.64132]
area_under_roc_curve
0.6743185078909613 [0.674319,0.674319]
area_under_roc_curve
0.7216642754662841 [0.721664,0.721664]
area_under_roc_curve
0.8206599713055954 [0.82066,0.82066]
area_under_roc_curve
0.7380952380952381 [0.738095,0.738095]
area_under_roc_curve
0.7038690476190477 [0.703869,0.703869]
area_under_roc_curve
0.7470238095238094 [0.747024,0.747024]
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
0.6299811676082863 [0.84,0.111111]
f_measure
0.6036637931034483 [0.8125,0.1]
f_measure
0.5684322787060079 [0.804124,0]
f_measure
0.5770584095707247 [0.816327,0]
kappa
0
kappa
0.08171206225680908
kappa
0
kappa
0.013232514177693862
kappa
-0.06576402321083182
kappa
-0.03366336633663333
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
-0.021639948104185597
kb_relative_information_score
-0.00443508731062421
kb_relative_information_score
0.03456643942832347
kb_relative_information_score
0.02704787700261803
kb_relative_information_score
0.03394722168859853
kb_relative_information_score
0.04620654815442851
kb_relative_information_score
0.08944451360874472
kb_relative_information_score
0.05385861297835353
kb_relative_information_score
0.03770974408047811
kb_relative_information_score
0.040722547849867244
mean_absolute_error
0.40533474211988496
mean_absolute_error
0.399551849403526
mean_absolute_error
0.3920645373224211
mean_absolute_error
0.386423881900246
mean_absolute_error
0.3871836340913647
mean_absolute_error
0.38655504184935985
mean_absolute_error
0.3739842818833398
mean_absolute_error
0.3769517916872328
mean_absolute_error
0.3837637518847811
mean_absolute_error
0.3840508483047073
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
0.8036236119228521 [0.724138,1]
precision
0.5989550679205852 [0.709091,0.333333]
precision
0.4923029556650246 [0.696429,0]
precision
0.49606775559588623 [0.701754,0]
predictive_accuracy
0.711864406779661
predictive_accuracy
0.728813559322034
predictive_accuracy
0.711864406779661
predictive_accuracy
0.6896551724137931
predictive_accuracy
0.6724137931034483
predictive_accuracy
0.6896551724137931
predictive_accuracy
0.7068965517241379
predictive_accuracy
0.7241379310344827
predictive_accuracy
0.7241379310344827
predictive_accuracy
0.7241379310344827
prior_entropy
0.866303894607806
prior_entropy
0.866303894607806
prior_entropy
0.866303894607806
prior_entropy
0.8728196644971457
prior_entropy
0.8728196644971457
prior_entropy
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prior_entropy
0.8728196644971457
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
relative_absolute_error
0.98905115760112
relative_absolute_error
0.9749404087778517
relative_absolute_error
0.9566707321091111
relative_absolute_error
0.9380669895453502
relative_absolute_error
0.9399113332417555
relative_absolute_error
0.938385388133991
relative_absolute_error
0.9078691195751399
relative_absolute_error
0.9316706214996954
relative_absolute_error
0.948507000397045
relative_absolute_error
0.9492165852985672
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
0.4502461255294739
root_mean_squared_error
0.44298761237006345
root_mean_squared_error
0.44042385896407044
root_mean_squared_error
0.44700341483692174
root_mean_squared_error
0.4466353702529685
root_mean_squared_error
0.4365524038504018
root_mean_squared_error
0.4292470629048328
root_mean_squared_error
0.4282808283023824
root_mean_squared_error
0.43246395142915056
root_mean_squared_error
0.4309139357090595
root_relative_squared_error
0.9941500124554199
root_relative_squared_error
0.9781231095268275
root_relative_squared_error
0.9724623046115084
root_relative_squared_error
0.9819416226754539
root_relative_squared_error
0.9811331315454348
root_relative_squared_error
0.9589836712458293
root_relative_squared_error
0.9429358780876796
root_relative_squared_error
0.9579278607827879
root_relative_squared_error
0.9672841754329194
root_relative_squared_error
0.9638172837468919
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
0.5 [1,0]
unweighted_recall
0.5294117647058824 [1,0.058824]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5050215208034433 [0.95122,0.058824]
unweighted_recall
0.47560975609756095 [0.95122,0]
unweighted_recall
0.4878048780487805 [0.97561,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5 [1,0]
usercpu_time_millis
64.20800000023519
usercpu_time_millis
59.43600000000515
usercpu_time_millis
62.25399999993897
usercpu_time_millis
64.4919999999729
usercpu_time_millis
61.50599999955375
usercpu_time_millis
69.9560000002748
usercpu_time_millis
78.11199999923701
usercpu_time_millis
65.04799999947863
usercpu_time_millis
70.59399999980087
usercpu_time_millis
75.72600000003149
usercpu_time_millis_testing
2.842000000327971
usercpu_time_millis_testing
2.7620000000752043
usercpu_time_millis_testing
2.767999999832682
usercpu_time_millis_testing
2.801999999974214
usercpu_time_millis_testing
3.0259999998634157
usercpu_time_millis_testing
2.7180000001862936
usercpu_time_millis_testing
2.941999999620748
usercpu_time_millis_testing
3.0319999996208935
usercpu_time_millis_testing
2.98800000018673
usercpu_time_millis_testing
2.7800000002571323
usercpu_time_millis_training
61.36599999990722
usercpu_time_millis_training
56.67399999992995
usercpu_time_millis_training
59.48600000010629
usercpu_time_millis_training
61.68999999999869
usercpu_time_millis_training
58.479999999690335
usercpu_time_millis_training
67.2380000000885
usercpu_time_millis_training
75.16999999961627
usercpu_time_millis_training
62.01599999985774
usercpu_time_millis_training
67.60599999961414
usercpu_time_millis_training
72.94599999977436
wall_clock_time_millis
32.22489356994629
wall_clock_time_millis
29.963970184326172
wall_clock_time_millis
31.177759170532227
wall_clock_time_millis
31.84223175048828
wall_clock_time_millis
30.87902069091797
wall_clock_time_millis
36.76605224609375
wall_clock_time_millis
39.23177719116211
wall_clock_time_millis
32.77945518493652
wall_clock_time_millis
35.938262939453125
wall_clock_time_millis
38.65408897399902
wall_clock_time_millis_testing
1.4238357543945312
wall_clock_time_millis_testing
1.4209747314453125
wall_clock_time_millis_testing
1.3890266418457031
wall_clock_time_millis_testing
1.4111995697021484
wall_clock_time_millis_testing
1.5289783477783203
wall_clock_time_millis_testing
1.363992691040039
wall_clock_time_millis_testing
1.4736652374267578
wall_clock_time_millis_testing
1.5201568603515625
wall_clock_time_millis_testing
1.50299072265625
wall_clock_time_millis_testing
1.3971328735351562
wall_clock_time_millis_training
30.801057815551758
wall_clock_time_millis_training
28.54299545288086
wall_clock_time_millis_training
29.788732528686523
wall_clock_time_millis_training
30.431032180786133
wall_clock_time_millis_training
29.35004234313965
wall_clock_time_millis_training
35.40205955505371
wall_clock_time_millis_training
37.75811195373535
wall_clock_time_millis_training
31.25929832458496
wall_clock_time_millis_training
34.435272216796875
wall_clock_time_millis_training
37.25695610046387
weighted_recall
0.711864406779661 [1,0]
weighted_recall
0.7288135593220338 [1,0.058824]
weighted_recall
0.711864406779661 [1,0]
weighted_recall
0.6896551724137931 [0.95122,0.058824]
weighted_recall
0.6724137931034483 [0.95122,0]
weighted_recall
0.6896551724137931 [0.97561,0]
weighted_recall
0.7068965517241379 [1,0]
weighted_recall
0.7241379310344828 [1,0]
weighted_recall
0.7241379310344828 [1,0]
weighted_recall
0.7241379310344828 [1,0]