10559381
8323
Heinrich Peters
3022
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)
8276112
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
13917.287565392886
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.030380904322180546
17495
decision_function_shape
"ovr"
17495
degree
5
17495
gamma
0.0011255179130262153
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": [false, false, true, true, true, true, true, true, true, true, true, true]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, true, false, false, 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.
307
vowel
https://www.openml.org/data/download/52210/phpd8EoD9
-1
22043727
description
https://api.openml.org/data/download/22043727/description.xml
-1
22043728
predictions
https://api.openml.org/data/download/22043728/predictions.arff
area_under_roc_curve
0.3458765432098766 [0.970667,0.141568,0.246457,0.089914,0.25321,0.20321,0.428827,0.943333,0.207889,0.133481,0.186086]
average_cost
0
kappa
0.09555555555555556
kb_relative_information_score
0.00020215485871506993
mean_absolute_error
0.16528368816304964
mean_prior_absolute_error
0.16528925619834867
weighted_recall
0.17777777777777778 [1,0,0,0,0,0,0,0.955556,0,0,0]
number_of_instances
990 [90,90,90,90,90,90,90,90,90,90,90]
predictive_accuracy
0.17777777777777778
prior_entropy
3.4594316186372627
relative_absolute_error
0.9999663133864409
root_mean_prior_squared_error
0.28747978728803586
root_mean_squared_error
0.2874701204274951
root_relative_squared_error
0.9999663737731548
total_cost
0
unweighted_recall
0.17777777777777778 [1,0,0,0,0,0,0,0.955556,0,0,0]
area_under_roc_curve
0.2934904601571268 [0.956173,0.138272,0.207407,0.140741,0.287654,0.140741,0.206173,0.966667,0.053086,0.101852,0.02963]
area_under_roc_curve
0.33613916947250283 [0.955556,0.12716,0.211111,0.077778,0.138272,0.176543,0.433333,0.976543,0.240741,0.169136,0.191358]
area_under_roc_curve
0.33726150392817056 [0.976543,0.11358,0.266667,0.139506,0.230864,0.177778,0.381481,0.946914,0.207407,0.179012,0.090123]
area_under_roc_curve
0.3552188552188552 [0.954321,0.123457,0.255556,0.11358,0.308642,0.276543,0.45679,0.934568,0.198765,0.064198,0.220988]
area_under_roc_curve
0.3525252525252525 [0.966667,0.166667,0.293827,0.066667,0.359259,0.2,0.325926,0.988889,0.214815,0.193827,0.101235]
area_under_roc_curve
0.3847362514029181 [0.975309,0.179012,0.288889,0.087654,0.28642,0.212346,0.448148,0.975309,0.208642,0.049383,0.520988]
area_under_roc_curve
0.32469135802469135 [0.954938,0.139506,0.206173,0.02963,0.076543,0.220988,0.508642,0.987654,0.150617,0.188272,0.108642]
area_under_roc_curve
0.3730639730639731 [0.992593,0.117284,0.249383,0.075309,0.469136,0.15679,0.553086,0.982716,0.318519,0.106173,0.082716]
area_under_roc_curve
0.3287317620650954 [0.984568,0.161111,0.253086,0.090123,0.150617,0.239506,0.324691,0.867901,0.238272,0.119136,0.187037]
area_under_roc_curve
0.3349046015712683 [0.98642,0.150617,0.230864,0.091358,0.159259,0.218519,0.396296,0.876543,0.159259,0.132099,0.282716]
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
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.1
kappa
0.07777777777777779
kappa
0.07777777777777779
kb_relative_information_score
0.00018941728800173424
kb_relative_information_score
0.00020360047621956515
kb_relative_information_score
0.00021267720743974112
kb_relative_information_score
0.00019292228286238704
kb_relative_information_score
0.00021008332449724783
kb_relative_information_score
0.0002076041277116624
kb_relative_information_score
0.00018240255532347996
kb_relative_information_score
0.00023172746111668567
kb_relative_information_score
0.00020455092368874616
kb_relative_information_score
0.0001865629402894267
mean_absolute_error
0.1652846650965523
mean_absolute_error
0.16528357689520495
mean_absolute_error
0.16528313657068947
mean_absolute_error
0.1652837788663928
mean_absolute_error
0.1652834515545077
mean_absolute_error
0.1652839712999856
mean_absolute_error
0.16528390880481328
mean_absolute_error
0.1652825731242415
mean_absolute_error
0.16528376148341456
mean_absolute_error
0.16528405793469078
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
mean_prior_absolute_error
0.16528925619834728
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
number_of_instances
99 [9,9,9,9,9,9,9,9,9,9,9]
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.18181818181818182
predictive_accuracy
0.16161616161616163
predictive_accuracy
0.16161616161616163
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
prior_entropy
3.4594316186373035
relative_absolute_error
0.9999722238341403
relative_absolute_error
0.9999656402159889
relative_absolute_error
0.9999629762526702
relative_absolute_error
0.9999668621416754
relative_absolute_error
0.9999648819047705
relative_absolute_error
0.9999680263649118
relative_absolute_error
0.9999676482691193
relative_absolute_error
0.9999595674016599
relative_absolute_error
0.9999667569746569
relative_absolute_error
0.9999685505048781
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_prior_squared_error
0.28747978728803464
root_mean_squared_error
0.2874718183369328
root_mean_squared_error
0.28746992613810746
root_mean_squared_error
0.28746916192567507
root_mean_squared_error
0.2874702794734239
root_mean_squared_error
0.2874697083972326
root_mean_squared_error
0.28747060856129275
root_mean_squared_error
0.28747050833512194
root_mean_squared_error
0.287468183569927
root_mean_squared_error
0.2874702473204933
root_mean_squared_error
0.2874707622017798
root_relative_squared_error
0.9999722799603512
root_relative_squared_error
0.9999656979364699
root_relative_squared_error
0.9999630396193772
root_relative_squared_error
0.9999669270152854
root_relative_squared_error
0.9999649405236553
root_relative_squared_error
0.9999680717492229
root_relative_squared_error
0.9999677231119439
root_relative_squared_error
0.9999596364035986
root_relative_squared_error
0.9999668151711419
root_relative_squared_error
0.9999686061884908
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
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
unweighted_recall
0.1616161616161616 [1,0,0,0,0,0,0,0.777778,0,0,0]
unweighted_recall
0.1616161616161616 [1,0,0,0,0,0,0,0.777778,0,0,0]
usercpu_time_millis
468.38400000001457
usercpu_time_millis
460.93800000001295
usercpu_time_millis
463.37799999999163
usercpu_time_millis
445.25999999999044
usercpu_time_millis
458.44999999999914
usercpu_time_millis
465.75599999999895
usercpu_time_millis
460.409999999996
usercpu_time_millis
449.24599999998804
usercpu_time_millis
509.2680000000058
usercpu_time_millis
501.7079999999936
usercpu_time_millis_testing
8.064000000004512
usercpu_time_millis_testing
8.89400000001217
usercpu_time_millis_testing
7.803999999993039
usercpu_time_millis_testing
7.72999999999513
usercpu_time_millis_testing
7.891999999998234
usercpu_time_millis_testing
9.280000000003952
usercpu_time_millis_testing
7.8859999999991715
usercpu_time_millis_testing
7.801999999998088
usercpu_time_millis_testing
8.949999999998681
usercpu_time_millis_testing
9.321999999997388
usercpu_time_millis_training
460.32000000001005
usercpu_time_millis_training
452.0440000000008
usercpu_time_millis_training
455.5739999999986
usercpu_time_millis_training
437.5299999999953
usercpu_time_millis_training
450.5580000000009
usercpu_time_millis_training
456.475999999995
usercpu_time_millis_training
452.5239999999968
usercpu_time_millis_training
441.44399999998996
usercpu_time_millis_training
500.31800000000715
usercpu_time_millis_training
492.3859999999962
wall_clock_time_millis
267.3828601837158
wall_clock_time_millis
278.95116806030273
wall_clock_time_millis
288.0711555480957
wall_clock_time_millis
271.65889739990234
wall_clock_time_millis
256.86192512512207
wall_clock_time_millis
327.92091369628906
wall_clock_time_millis
262.6371383666992
wall_clock_time_millis
275.7866382598877
wall_clock_time_millis
329.47278022766113
wall_clock_time_millis
293.64776611328125
wall_clock_time_millis_testing
4.32896614074707
wall_clock_time_millis_testing
5.110025405883789
wall_clock_time_millis_testing
3.9060115814208984
wall_clock_time_millis_testing
3.8759708404541016
wall_clock_time_millis_testing
3.980875015258789
wall_clock_time_millis_testing
12.525796890258789
wall_clock_time_millis_testing
3.960132598876953
wall_clock_time_millis_testing
3.9129257202148438
wall_clock_time_millis_testing
4.525899887084961
wall_clock_time_millis_testing
4.706859588623047
wall_clock_time_millis_training
263.05389404296875
wall_clock_time_millis_training
273.84114265441895
wall_clock_time_millis_training
284.1651439666748
wall_clock_time_millis_training
267.78292655944824
wall_clock_time_millis_training
252.88105010986328
wall_clock_time_millis_training
315.3951168060303
wall_clock_time_millis_training
258.67700576782227
wall_clock_time_millis_training
271.87371253967285
wall_clock_time_millis_training
324.9468803405762
wall_clock_time_millis_training
288.9409065246582
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.18181818181818182 [1,0,0,0,0,0,0,1,0,0,0]
weighted_recall
0.16161616161616163 [1,0,0,0,0,0,0,0.777778,0,0,0]
weighted_recall
0.16161616161616163 [1,0,0,0,0,0,0,0.777778,0,0,0]