10559223
8323
Heinrich Peters
31
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)
8276057
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
1746.5757079326518
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.9226436257392612
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
1.5109324049570479e-05
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": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}]
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.
31
credit-g
https://www.openml.org/data/download/31/dataset_31_credit-g.arff
-1
22043411
description
https://api.openml.org/data/download/22043411/description.xml
-1
22043412
predictions
https://api.openml.org/data/download/22043412/predictions.arff
area_under_roc_curve
0.786195238095238 [0.786195,0.786195]
average_cost
0
f_measure
0.7293653360936793 [0.832891,0.487805]
kappa
0.3312101910828026
kb_relative_information_score
0.21673507412174245
mean_absolute_error
0.32828530317047444
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.748 [0.897143,0.4]
number_of_instances
1000 [700,300]
precision
0.7315594059405941 [0.777228,0.625]
predictive_accuracy
0.748
prior_entropy
0.8812914463598482
relative_absolute_error
0.7813346170470692
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.40420860335478387
root_relative_squared_error
0.8820551517122971
total_cost
0
unweighted_recall
0.6485714285714286 [0.897143,0.4]
area_under_roc_curve
0.8261904761904763 [0.82619,0.82619]
area_under_roc_curve
0.7504761904761905 [0.750476,0.750476]
area_under_roc_curve
0.7361904761904762 [0.73619,0.73619]
area_under_roc_curve
0.7795238095238095 [0.779524,0.779524]
area_under_roc_curve
0.7716666666666666 [0.771667,0.771667]
area_under_roc_curve
0.803809523809524 [0.80381,0.80381]
area_under_roc_curve
0.7938095238095237 [0.79381,0.79381]
area_under_roc_curve
0.84 [0.84,0.84]
area_under_roc_curve
0.7966666666666665 [0.796667,0.796667]
area_under_roc_curve
0.7838095238095238 [0.78381,0.78381]
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
0.7751984126984126 [0.847222,0.607143]
f_measure
0.6990958408679927 [0.835443,0.380952]
f_measure
0.7013333333333334 [0.813333,0.44]
f_measure
0.8160714285714286 [0.875,0.678571]
f_measure
0.6664954723611299 [0.794702,0.367347]
f_measure
0.7177631578947369 [0.828947,0.458333]
f_measure
0.7018181818181817 [0.8,0.472727]
f_measure
0.7369871130202934 [0.853503,0.465116]
f_measure
0.7204301075268817 [0.83871,0.444444]
f_measure
0.7394736842105263 [0.842105,0.5]
kappa
0.4554455445544556
kappa
0.2528735632183907
kappa
0.26315789473684204
kappa
0.5544554455445544
kappa
0.17553191489361689
kappa
0.30107526881720426
kappa
0.27499999999999997
kappa
0.3465909090909091
kappa
0.3055555555555555
kappa
0.3548387096774194
kb_relative_information_score
0.2415197582628742
kb_relative_information_score
0.19630112507541222
kb_relative_information_score
0.1416275225296469
kb_relative_information_score
0.20800079386958775
kb_relative_information_score
0.18041942646448203
kb_relative_information_score
0.23677550497712224
kb_relative_information_score
0.2283381725810954
kb_relative_information_score
0.2795139376349859
kb_relative_information_score
0.23117532490347797
kb_relative_information_score
0.22367917491870276
mean_absolute_error
0.3234748360814424
mean_absolute_error
0.3301153472587106
mean_absolute_error
0.3506870347242832
mean_absolute_error
0.3336339280725046
mean_absolute_error
0.34036855172851255
mean_absolute_error
0.3210971650109768
mean_absolute_error
0.3175862435149511
mean_absolute_error
0.3140219074587336
mean_absolute_error
0.32403520528527735
mean_absolute_error
0.32783281256935193
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
mean_prior_absolute_error
0.4201596806387232
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
number_of_instances
100 [70,30]
precision
0.7731808731808733 [0.824324,0.653846]
precision
0.725 [0.75,0.666667]
precision
0.69875 [0.7625,0.55]
precision
0.8151767151767152 [0.851351,0.730769]
precision
0.6606237816764132 [0.740741,0.473684]
precision
0.7211382113821139 [0.768293,0.611111]
precision
0.6973333333333334 [0.773333,0.52]
precision
0.7698496905393456 [0.770115,0.769231]
precision
0.7352941176470589 [0.764706,0.666667]
precision
0.746341463414634 [0.780488,0.666667]
predictive_accuracy
0.78
predictive_accuracy
0.74
predictive_accuracy
0.72
predictive_accuracy
0.82
predictive_accuracy
0.69
predictive_accuracy
0.74
predictive_accuracy
0.71
predictive_accuracy
0.77
predictive_accuracy
0.75
predictive_accuracy
0.76
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
prior_entropy
0.8812914463598627
relative_absolute_error
0.7698854768494175
relative_absolute_error
0.7856902089150296
relative_absolute_error
0.8346518023604067
relative_absolute_error
0.7940645984053422
relative_absolute_error
0.8100933226412566
relative_absolute_error
0.7642265067482144
relative_absolute_error
0.7558703467980534
relative_absolute_error
0.7473870576571272
relative_absolute_error
0.7712191821754095
relative_absolute_error
0.780257667920404
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_prior_squared_error
0.4582577433736552
root_mean_squared_error
0.39005300763559164
root_mean_squared_error
0.42271351419128605
root_mean_squared_error
0.42695518356391793
root_mean_squared_error
0.3961484768125178
root_mean_squared_error
0.420016007423123
root_mean_squared_error
0.4012681415824156
root_mean_squared_error
0.3987116084738577
root_mean_squared_error
0.379527375768105
root_mean_squared_error
0.40091401227393264
root_mean_squared_error
0.403261643470181
root_relative_squared_error
0.851165121104237
root_relative_squared_error
0.9224361624078722
root_relative_squared_error
0.9316922403115538
root_relative_squared_error
0.86446652029512
root_relative_squared_error
0.9165497222829236
root_relative_squared_error
0.8756385405041125
root_relative_squared_error
0.8700597300082181
root_relative_squared_error
0.8281963180241237
root_relative_squared_error
0.8748657672916493
root_relative_squared_error
0.8799887166148082
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
0.719047619047619 [0.871429,0.566667]
unweighted_recall
0.6047619047619047 [0.942857,0.266667]
unweighted_recall
0.6190476190476191 [0.871429,0.366667]
unweighted_recall
0.7666666666666666 [0.9,0.633333]
unweighted_recall
0.5785714285714285 [0.857143,0.3]
unweighted_recall
0.6333333333333333 [0.9,0.366667]
unweighted_recall
0.6309523809523809 [0.828571,0.433333]
unweighted_recall
0.6452380952380953 [0.957143,0.333333]
unweighted_recall
0.6309523809523809 [0.928571,0.333333]
unweighted_recall
0.6571428571428571 [0.914286,0.4]
usercpu_time_millis
392.2419999999818
usercpu_time_millis
388.6299999999778
usercpu_time_millis
390.6799999999748
usercpu_time_millis
396.06000000000563
usercpu_time_millis
396.9780000000185
usercpu_time_millis
403.8140000000112
usercpu_time_millis
403.2499999999857
usercpu_time_millis
398.9259999999888
usercpu_time_millis
394.50800000000186
usercpu_time_millis
394.76199999998585
usercpu_time_millis_testing
9.991999999982681
usercpu_time_millis_testing
10.347999999993363
usercpu_time_millis_testing
10.025999999982105
usercpu_time_millis_testing
10.512000000005628
usercpu_time_millis_testing
10.041999999998552
usercpu_time_millis_testing
10.128000000008797
usercpu_time_millis_testing
10.19199999998932
usercpu_time_millis_testing
9.999999999990905
usercpu_time_millis_testing
10.738000000003467
usercpu_time_millis_testing
9.792000000004464
usercpu_time_millis_training
382.2499999999991
usercpu_time_millis_training
378.28199999998446
usercpu_time_millis_training
380.6539999999927
usercpu_time_millis_training
385.548
usercpu_time_millis_training
386.93600000001993
usercpu_time_millis_training
393.6860000000024
usercpu_time_millis_training
393.05799999999635
usercpu_time_millis_training
388.9259999999979
usercpu_time_millis_training
383.7699999999984
usercpu_time_millis_training
384.9699999999814
wall_clock_time_millis
197.50690460205078
wall_clock_time_millis
195.6629753112793
wall_clock_time_millis
197.19505310058594
wall_clock_time_millis
200.20699501037598
wall_clock_time_millis
204.4239044189453
wall_clock_time_millis
204.11443710327148
wall_clock_time_millis
208.72902870178223
wall_clock_time_millis
201.38907432556152
wall_clock_time_millis
199.2340087890625
wall_clock_time_millis
198.96483421325684
wall_clock_time_millis_testing
5.0029754638671875
wall_clock_time_millis_testing
5.193948745727539
wall_clock_time_millis_testing
5.050897598266602
wall_clock_time_millis_testing
5.320072174072266
wall_clock_time_millis_testing
5.055904388427734
wall_clock_time_millis_testing
5.164623260498047
wall_clock_time_millis_testing
5.135059356689453
wall_clock_time_millis_testing
5.075216293334961
wall_clock_time_millis_testing
5.486965179443359
wall_clock_time_millis_testing
4.899024963378906
wall_clock_time_millis_training
192.5039291381836
wall_clock_time_millis_training
190.46902656555176
wall_clock_time_millis_training
192.14415550231934
wall_clock_time_millis_training
194.8869228363037
wall_clock_time_millis_training
199.36800003051758
wall_clock_time_millis_training
198.94981384277344
wall_clock_time_millis_training
203.59396934509277
wall_clock_time_millis_training
196.31385803222656
wall_clock_time_millis_training
193.74704360961914
wall_clock_time_millis_training
194.06580924987793
weighted_recall
0.78 [0.871429,0.566667]
weighted_recall
0.74 [0.942857,0.266667]
weighted_recall
0.72 [0.871429,0.366667]
weighted_recall
0.82 [0.9,0.633333]
weighted_recall
0.69 [0.857143,0.3]
weighted_recall
0.74 [0.9,0.366667]
weighted_recall
0.71 [0.828571,0.433333]
weighted_recall
0.77 [0.957143,0.333333]
weighted_recall
0.75 [0.928571,0.333333]
weighted_recall
0.76 [0.914286,0.4]