10398484
8323
Heinrich Peters
7592
Supervised Classification
16374
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)(2)
8236253
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
178.98949887421563
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6241865569172633
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.07357492743555877
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
1
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
categorical_features
null
16348
categories
null
16348
drop
null
16348
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
16348
handle_unknown
"ignore"
16348
n_values
null
16348
sparse
true
16348
memory
null
16374
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"}}]
16374
verbose
false
16374
n_jobs
null
16375
remainder
"drop"
16375
sparse_threshold
0.3
16375
transformer_weights
null
16375
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, true, false, true, false, false, false, false, false, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, false, true, false, true, true, true, true, true, false, false, false, true]}}]
16375
verbose
false
16375
memory
null
16376
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
16376
verbose
false
16376
memory
null
16377
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
16377
verbose
false
16377
openml-python
Sklearn_0.21.2.
1590
adult
https://www.openml.org/data/download/1595261/phpMawTba
-1
21718721
description
https://api.openml.org/data/download/21718721/description.xml
-1
21718722
predictions
https://api.openml.org/data/download/21718722/predictions.arff
area_under_roc_curve
0.7653049578036879 [0.765305,0.765305]
average_cost
0
f_measure
0.8391032747087289 [0.652009,0.897953]
kappa
0.5503648995920685
kb_relative_information_score
0.5114049941615082
mean_absolute_error
0.15781499529093812
mean_prior_absolute_error
0.3640575712202595
number_of_instances
48842 [11687,37155]
precision
0.8373361170160749 [0.690146,0.883634]
predictive_accuracy
0.8421850047090619
prior_entropy
0.7938438398153179
recall
0.8421850047090619 [0.617866,0.912744]
relative_absolute_error
0.43348911756448005
root_mean_prior_squared_error
0.426645054364785
root_mean_squared_error
0.3972593551962472
root_relative_squared_error
0.9311237787291615
total_cost
0
area_under_roc_curve
0.7659748932091223 [0.765975,0.765975]
area_under_roc_curve
0.7620006795573853 [0.762001,0.762001]
area_under_roc_curve
0.7636331966910952 [0.763633,0.763633]
area_under_roc_curve
0.7549365387734639 [0.754937,0.754937]
area_under_roc_curve
0.7727574760015925 [0.772757,0.772757]
area_under_roc_curve
0.7654822253205568 [0.765482,0.765482]
area_under_roc_curve
0.7633584973870755 [0.763358,0.763358]
area_under_roc_curve
0.7560394304642014 [0.756039,0.756039]
area_under_roc_curve
0.7748258913820119 [0.774826,0.774826]
area_under_roc_curve
0.7740423018604207 [0.774042,0.774042]
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
0.8407785256967252 [0.654248,0.899458]
f_measure
0.8364422759052966 [0.646528,0.896186]
f_measure
0.8381453956397815 [0.64948,0.897446]
f_measure
0.8295213880913975 [0.633601,0.891102]
f_measure
0.8432689376746207 [0.662483,0.900093]
f_measure
0.8373713363779909 [0.650581,0.896149]
f_measure
0.8379133546625556 [0.649186,0.8973]
f_measure
0.8344839760831005 [0.639232,0.895924]
f_measure
0.8472599893285868 [0.668483,0.903516]
f_measure
0.8458505872950592 [0.666365,0.902329]
kappa
0.5542086292846361
kappa
0.5431076278206827
kappa
0.5473492467659945
kappa
0.5249744035966861
kappa
0.5628626812009362
kappa
0.5469984236876221
kappa
0.5469167855965315
kappa
0.5357942395001025
kappa
0.5724735574945674
kappa
0.5691038502193817
kb_relative_information_score
0.5177185508357159
kb_relative_information_score
0.5031423703747717
kb_relative_information_score
0.508584660248447
kb_relative_information_score
0.48005086632738775
kb_relative_information_score
0.5225345150542962
kb_relative_information_score
0.5043594343531302
kb_relative_information_score
0.5081623031432612
kb_relative_information_score
0.4999227540979805
kb_relative_information_score
0.5373176305342535
kb_relative_information_score
0.5322471388140804
mean_absolute_error
0.15578300921187307
mean_absolute_error
0.16049129989764585
mean_absolute_error
0.15868140868140868
mean_absolute_error
0.1678951678951679
mean_absolute_error
0.1541769041769042
mean_absolute_error
0.1601146601146601
mean_absolute_error
0.1588861588861589
mean_absolute_error
0.16154791154791154
mean_absolute_error
0.14946764946764945
mean_absolute_error
0.1511056511056511
mean_prior_absolute_error
0.3640691602542745
mean_prior_absolute_error
0.3640691602542745
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36398794846096894
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
mean_prior_absolute_error
0.36409470831304036
number_of_instances
4885 [1169,3716]
number_of_instances
4885 [1169,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1168,3716]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
number_of_instances
4884 [1169,3715]
precision
0.839006419184406 [0.697674,0.883467]
precision
0.8346285980018173 [0.683508,0.882169]
precision
0.83634203111793 [0.688399,0.882843]
precision
0.8277498701362577 [0.662617,0.879654]
precision
0.8416840777659081 [0.695202,0.887726]
precision
0.8357208562708001 [0.68101,0.884404]
precision
0.836104185048549 [0.688399,0.882583]
precision
0.8325225607340758 [0.68664,0.878427]
precision
0.8456572413751035 [0.712488,0.887562]
precision
0.8442270406637559 [0.706616,0.887529]
predictive_accuracy
0.844216990788127
predictive_accuracy
0.8395087001023542
predictive_accuracy
0.8413185913185913
predictive_accuracy
0.832104832104832
predictive_accuracy
0.8458230958230958
predictive_accuracy
0.8398853398853399
predictive_accuracy
0.8411138411138411
predictive_accuracy
0.8384520884520884
predictive_accuracy
0.8505323505323505
predictive_accuracy
0.848894348894349
prior_entropy
0.7938809255859894
prior_entropy
0.7938809255859894
prior_entropy
0.7936210418137764
prior_entropy
0.7936210418137764
prior_entropy
0.7936210418137764
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
prior_entropy
0.7939626812721351
recall
0.844216990788127 [0.615911,0.916039]
recall
0.8395087001023541 [0.613345,0.910657]
recall
0.8413185913185913 [0.614726,0.91254]
recall
0.8321048321048321 [0.607021,0.902853]
recall
0.8458230958230958 [0.632705,0.912809]
recall
0.8398853398853399 [0.622754,0.90821]
recall
0.8411138411138411 [0.6142,0.912517]
recall
0.8384520884520884 [0.597947,0.914132]
recall
0.8505323505323505 [0.629598,0.920054]
recall
0.8488943488943489 [0.630453,0.917631]
relative_absolute_error
0.4278939998737343
relative_absolute_error
0.44082640722865657
relative_absolute_error
0.4359523697209013
relative_absolute_error
0.46126573312405034
relative_absolute_error
0.42357694761269504
relative_absolute_error
0.43976101947902285
relative_absolute_error
0.43638689400987446
relative_absolute_error
0.44369749919302953
relative_absolute_error
0.41051859874640245
relative_absolute_error
0.41501743270526714
root_mean_prior_squared_error
0.426658635735979
root_mean_prior_squared_error
0.426658635735979
root_mean_prior_squared_error
0.42656345325728656
root_mean_prior_squared_error
0.42656345325728656
root_mean_prior_squared_error
0.42656345325728656
root_mean_prior_squared_error
0.42668857438048746
root_mean_prior_squared_error
0.42668857438048746
root_mean_prior_squared_error
0.42668857438048746
root_mean_prior_squared_error
0.42668857438048746
root_mean_prior_squared_error
0.42668857438048746
root_mean_squared_error
0.39469356368184305
root_mean_squared_error
0.4006136541577756
root_mean_squared_error
0.39834835092091025
root_mean_squared_error
0.40975012860909255
root_mean_squared_error
0.39265366950648023
root_mean_squared_error
0.40014329947490074
root_mean_squared_error
0.39860526700754834
root_mean_squared_error
0.4019302321895077
root_mean_squared_error
0.386610462180797
root_mean_squared_error
0.38872310338549615
root_relative_squared_error
0.925080452200395
root_relative_squared_error
0.9389559254243706
root_relative_squared_error
0.9338548529628532
root_relative_squared_error
0.9605842354289718
root_relative_squared_error
0.9205047139133289
root_relative_squared_error
0.9377877063051712
root_relative_squared_error
0.9341831277912385
root_relative_squared_error
0.9419756148218251
root_relative_squared_error
0.9060717473912203
root_relative_squared_error
0.9110229959869123
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
usercpu_time_millis
1268022.1968840342
usercpu_time_millis
1116666.9256309979
usercpu_time_millis
1176146.804799093
usercpu_time_millis
1114981.0708949808
usercpu_time_millis
1089431.2362649944
usercpu_time_millis
1144287.371849874
usercpu_time_millis
1011508.4644489689
usercpu_time_millis
1047073.4626540216
usercpu_time_millis
1137770.6714330707
usercpu_time_millis
1193201.6879590228
usercpu_time_millis_testing
9229.585235007107
usercpu_time_millis_testing
5583.299383986741
usercpu_time_millis_testing
7526.672167005017
usercpu_time_millis_testing
9134.705235948786
usercpu_time_millis_testing
5538.578198989853
usercpu_time_millis_testing
5531.07507689856
usercpu_time_millis_testing
9196.636575972661
usercpu_time_millis_testing
5585.869814036414
usercpu_time_millis_testing
8979.564856970683
usercpu_time_millis_testing
5606.084588100202
usercpu_time_millis_training
1258792.611649027
usercpu_time_millis_training
1111083.6262470111
usercpu_time_millis_training
1168620.132632088
usercpu_time_millis_training
1105846.365659032
usercpu_time_millis_training
1083892.6580660045
usercpu_time_millis_training
1138756.2967729755
usercpu_time_millis_training
1002311.8278729962
usercpu_time_millis_training
1041487.5928399852
usercpu_time_millis_training
1128791.1065761
usercpu_time_millis_training
1187595.6033709226
wall_clock_time_millis
1268033.144235611
wall_clock_time_millis
1116699.2349624634
wall_clock_time_millis
1176243.6287403107
wall_clock_time_millis
1115058.2659244537
wall_clock_time_millis
1089440.4187202454
wall_clock_time_millis
1144304.5885562897
wall_clock_time_millis
1011545.069694519
wall_clock_time_millis
1047074.6538639069
wall_clock_time_millis
1137791.1672592163
wall_clock_time_millis
1193203.4752368927
wall_clock_time_millis_testing
9229.627132415771
wall_clock_time_millis_testing
5583.349943161011
wall_clock_time_millis_testing
7526.712894439697
wall_clock_time_millis_testing
9134.773969650269
wall_clock_time_millis_testing
5538.593292236328
wall_clock_time_millis_testing
5531.099796295166
wall_clock_time_millis_testing
9196.667909622192
wall_clock_time_millis_testing
5585.904121398926
wall_clock_time_millis_testing
8979.61139678955
wall_clock_time_millis_testing
5606.126546859741
wall_clock_time_millis_training
1258803.5171031952
wall_clock_time_millis_training
1111115.8850193024
wall_clock_time_millis_training
1168716.915845871
wall_clock_time_millis_training
1105923.4919548035
wall_clock_time_millis_training
1083901.825428009
wall_clock_time_millis_training
1138773.4887599945
wall_clock_time_millis_training
1002348.4017848969
wall_clock_time_millis_training
1041488.7497425079
wall_clock_time_millis_training
1128811.5558624268
wall_clock_time_millis_training
1187597.348690033