10559487
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)
8276119
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
547.0836590063223
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.7039368935060544
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.003970623713474363
17495
kernel
"poly"
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
22043946
description
https://api.openml.org/data/download/22043946/description.xml
-1
22043947
predictions
https://api.openml.org/data/download/22043947/predictions.arff
area_under_roc_curve
0.6986123906034085 [0.698612,0.698612]
average_cost
0
f_measure
0.6062959807810075 [0.823649,0.064865]
kappa
0.009661930618697571
kb_relative_information_score
0.04374202991972059
mean_absolute_error
0.3792927848785969
mean_prior_absolute_error
0.40910410344372566
weighted_recall
0.7032590051457976 [0.971154,0.035928]
number_of_instances
583 [416,167]
precision
0.6057033854996787 [0.715044,0.333333]
predictive_accuracy
0.7032590051457975
prior_entropy
0.8640923064827097
relative_absolute_error
0.9271302382103106
root_mean_prior_squared_error
0.4521025039976148
root_mean_squared_error
0.4366222838466862
root_relative_squared_error
0.9657594903499799
total_cost
0
unweighted_recall
0.5035409949332105 [0.971154,0.035928]
area_under_roc_curve
0.6498599439775912 [0.64986,0.64986]
area_under_roc_curve
0.623249299719888 [0.623249,0.623249]
area_under_roc_curve
0.7380952380952381 [0.738095,0.738095]
area_under_roc_curve
0.6614060258249641 [0.661406,0.661406]
area_under_roc_curve
0.6685796269727402 [0.66858,0.66858]
area_under_roc_curve
0.7245337159253944 [0.724534,0.724534]
area_under_roc_curve
0.8077474892395983 [0.807747,0.807747]
area_under_roc_curve
0.75 [0.75,0.75]
area_under_roc_curve
0.71875 [0.71875,0.71875]
area_under_roc_curve
0.7485119047619048 [0.748512,0.748512]
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
0.5897534668721109 [0.791667,0.090909]
f_measure
0.6199551266455815 [0.828283,0.105263]
f_measure
0.654140671599684 [0.817204,0.26087]
f_measure
0.5934318555008211 [0.8,0.095238]
f_measure
0.5770584095707247 [0.816327,0]
kappa
-0.04609929078014163
kappa
0.04748338081671427
kappa
0
kappa
0.12743362831858412
kappa
-0.01848428835489828
kappa
-0.03366336633663333
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
-0.017615402209885955
kb_relative_information_score
-0.007567846877335683
kb_relative_information_score
0.09417666717624266
kb_relative_information_score
0.04014026158103579
kb_relative_information_score
0.04278544774280055
kb_relative_information_score
0.016321681685243356
kb_relative_information_score
0.06541725144934182
kb_relative_information_score
0.07609942123487551
kb_relative_information_score
0.05480479930496103
kb_relative_information_score
0.0754036721433907
mean_absolute_error
0.395703149313341
mean_absolute_error
0.39365434153103157
mean_absolute_error
0.3655181390134212
mean_absolute_error
0.37695113767805405
mean_absolute_error
0.37792981611967
mean_absolute_error
0.3979687313220992
mean_absolute_error
0.38237897992866976
mean_absolute_error
0.3658641532778063
mean_absolute_error
0.37322356018469843
mean_absolute_error
0.3634427839478342
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
0.5585687382297552 [0.703704,0.2]
precision
0.6561106155218555 [0.719298,0.5]
precision
0.6631299734748011 [0.730769,0.5]
precision
0.570721583652618 [0.703704,0.25]
precision
0.49606775559588623 [0.701754,0]
predictive_accuracy
0.6610169491525424
predictive_accuracy
0.711864406779661
predictive_accuracy
0.711864406779661
predictive_accuracy
0.7068965517241379
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
0.8728196644971457
prior_entropy
0.8728196644971457
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
prior_entropy
0.8502061101753194
relative_absolute_error
0.9655492540508998
relative_absolute_error
0.9605499892501638
relative_absolute_error
0.8918952681547008
relative_absolute_error
0.9150713387290824
relative_absolute_error
0.9174471389382854
relative_absolute_error
0.9660927991528108
relative_absolute_error
0.9282477490863401
relative_absolute_error
0.9042665152036697
relative_absolute_error
0.9224559584110452
relative_absolute_error
0.898281880780159
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
0.44790692655503866
root_mean_squared_error
0.4415107353479803
root_mean_squared_error
0.428535622514014
root_mean_squared_error
0.4471698570005019
root_mean_squared_error
0.4504319943248375
root_mean_squared_error
0.451183882488981
root_mean_squared_error
0.4341422842857264
root_mean_squared_error
0.4211156148796931
root_mean_squared_error
0.42418731323216513
root_mean_squared_error
0.4182105455317358
root_relative_squared_error
0.9889850270003296
root_relative_squared_error
0.9748621435203516
root_relative_squared_error
0.9462129051280632
root_relative_squared_error
0.9823072496097518
root_relative_squared_error
0.9894732539652596
root_relative_squared_error
0.9911249422062519
root_relative_squared_error
0.9536893118793742
root_relative_squared_error
0.9419015595512913
root_relative_squared_error
0.9487719708265681
root_relative_squared_error
0.9354038443092969
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
0.48179271708683474 [0.904762,0.058824]
unweighted_recall
0.5175070028011204 [0.97619,0.058824]
unweighted_recall
0.5 [1,0]
unweighted_recall
0.5516499282639885 [0.926829,0.176471]
unweighted_recall
0.49282639885222385 [0.926829,0.058824]
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
74.44000000000095
usercpu_time_millis
68.06999999999874
usercpu_time_millis
80.57799999999915
usercpu_time_millis
75.21999999999984
usercpu_time_millis
71.20800000000216
usercpu_time_millis
85.48600000000128
usercpu_time_millis
81.40599999999942
usercpu_time_millis
78.99399999999979
usercpu_time_millis
87.5900000000005
usercpu_time_millis
94.33800000000048
usercpu_time_millis_testing
2.532000000000423
usercpu_time_millis_testing
2.6359999999989725
usercpu_time_millis_testing
2.61399999999945
usercpu_time_millis_testing
2.7740000000004983
usercpu_time_millis_testing
2.400000000001512
usercpu_time_millis_testing
2.5900000000014245
usercpu_time_millis_testing
2.4160000000001958
usercpu_time_millis_testing
2.62999999999991
usercpu_time_millis_testing
2.404000000000295
usercpu_time_millis_testing
2.6159999999997297
usercpu_time_millis_training
71.90800000000053
usercpu_time_millis_training
65.43399999999977
usercpu_time_millis_training
77.9639999999997
usercpu_time_millis_training
72.44599999999934
usercpu_time_millis_training
68.80800000000065
usercpu_time_millis_training
82.89599999999986
usercpu_time_millis_training
78.98999999999923
usercpu_time_millis_training
76.36399999999988
usercpu_time_millis_training
85.1860000000002
usercpu_time_millis_training
91.72200000000075
wall_clock_time_millis
37.83988952636719
wall_clock_time_millis
34.12508964538574
wall_clock_time_millis
40.66324234008789
wall_clock_time_millis
37.871360778808594
wall_clock_time_millis
35.69197654724121
wall_clock_time_millis
42.832374572753906
wall_clock_time_millis
40.85683822631836
wall_clock_time_millis
39.563655853271484
wall_clock_time_millis
43.87497901916504
wall_clock_time_millis
47.36590385437012
wall_clock_time_millis_testing
1.2691020965576172
wall_clock_time_millis_testing
1.3210773468017578
wall_clock_time_millis_testing
1.3110637664794922
wall_clock_time_millis_testing
1.3921260833740234
wall_clock_time_millis_testing
1.2030601501464844
wall_clock_time_millis_testing
1.3003349304199219
wall_clock_time_millis_testing
1.2121200561523438
wall_clock_time_millis_testing
1.3179779052734375
wall_clock_time_millis_testing
1.2049674987792969
wall_clock_time_millis_testing
1.3120174407958984
wall_clock_time_millis_training
36.57078742980957
wall_clock_time_millis_training
32.804012298583984
wall_clock_time_millis_training
39.3521785736084
wall_clock_time_millis_training
36.47923469543457
wall_clock_time_millis_training
34.48891639709473
wall_clock_time_millis_training
41.532039642333984
wall_clock_time_millis_training
39.644718170166016
wall_clock_time_millis_training
38.24567794799805
wall_clock_time_millis_training
42.67001152038574
wall_clock_time_millis_training
46.05388641357422
weighted_recall
0.6610169491525424 [0.904762,0.058824]
weighted_recall
0.711864406779661 [0.97619,0.058824]
weighted_recall
0.711864406779661 [1,0]
weighted_recall
0.7068965517241379 [0.926829,0.176471]
weighted_recall
0.6724137931034483 [0.926829,0.058824]
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]