10559212
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)
8276046
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
10139.809803411456
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.3001248192233066
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.005578662823307313
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, 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
22043389
description
https://api.openml.org/data/download/22043389/description.xml
-1
22043390
predictions
https://api.openml.org/data/download/22043390/predictions.arff
area_under_roc_curve
0.6636571428571428 [0.663657,0.663657]
average_cost
0
f_measure
0.6111232864974598 [0.806392,0.155496]
kappa
0.04313487241798329
kb_relative_information_score
0.049660232505625714
mean_absolute_error
0.39249122147210624
mean_prior_absolute_error
0.42015968063872167
weighted_recall
0.685 [0.937143,0.096667]
number_of_instances
1000 [700,300]
precision
0.6145394629900549 [0.707659,0.39726]
predictive_accuracy
0.685
prior_entropy
0.8812914463598482
relative_absolute_error
0.9341477527673427
root_mean_prior_squared_error
0.45825774337365466
root_mean_squared_error
0.4477321562760298
root_relative_squared_error
0.9770312946156973
total_cost
0
unweighted_recall
0.5169047619047619 [0.937143,0.096667]
area_under_roc_curve
0.699047619047619 [0.699048,0.699048]
area_under_roc_curve
0.5604761904761905 [0.560476,0.560476]
area_under_roc_curve
0.6628571428571428 [0.662857,0.662857]
area_under_roc_curve
0.7452380952380954 [0.745238,0.745238]
area_under_roc_curve
0.6514285714285714 [0.651429,0.651429]
area_under_roc_curve
0.659047619047619 [0.659048,0.659048]
area_under_roc_curve
0.6628571428571428 [0.662857,0.662857]
area_under_roc_curve
0.6533333333333334 [0.653333,0.653333]
area_under_roc_curve
0.6652380952380952 [0.665238,0.665238]
area_under_roc_curve
0.7076190476190476 [0.707619,0.707619]
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
0.5846653671215074 [0.790123,0.105263]
f_measure
0.5715447154471545 [0.792683,0.055556]
f_measure
0.5997629980743594 [0.77707,0.186047]
f_measure
0.657959714100065 [0.82716,0.263158]
f_measure
0.6796536796536796 [0.848485,0.285714]
f_measure
0.6087880935506732 [0.819277,0.117647]
f_measure
0.60909681611436 [0.802469,0.157895]
f_measure
0.5771428571428571 [0.8,0.057143]
f_measure
0.5907146410213895 [0.797546,0.108108]
f_measure
0.6267558528428094 [0.807453,0.205128]
kappa
-0.0240963855421687
kappa
-0.04938271604938277
kappa
0.005681818181818187
kappa
0.1566265060240962
kappa
0.2187499999999999
kappa
0.050632911392404764
kappa
0.036144578313253045
kappa
-0.031250000000000035
kappa
-0.006097560975609762
kappa
0.07738095238095213
kb_relative_information_score
0.049220043633954616
kb_relative_information_score
-0.0046105120248576435
kb_relative_information_score
0.03126805259677668
kb_relative_information_score
0.10237593514740101
kb_relative_information_score
0.06676249484012152
kb_relative_information_score
0.030555605626603324
kb_relative_information_score
0.058803649238165105
kb_relative_information_score
0.029952879330226098
kb_relative_information_score
0.04280556736260494
kb_relative_information_score
0.08946860930525304
mean_absolute_error
0.3967317125679242
mean_absolute_error
0.40850723677987716
mean_absolute_error
0.39614354239241484
mean_absolute_error
0.38120127701791956
mean_absolute_error
0.3843944744016863
mean_absolute_error
0.39772827457861043
mean_absolute_error
0.3907401400032966
mean_absolute_error
0.39829949178787577
mean_absolute_error
0.3948430242779125
mean_absolute_error
0.3763230409135471
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
0.5619565217391304 [0.695652,0.25]
precision
0.5340425531914894 [0.691489,0.166667]
precision
0.5831122900088418 [0.701149,0.307692]
precision
0.6972826086956522 [0.728261,0.625]
precision
0.8157894736842104 [0.736842,1]
precision
0.6458333333333335 [0.708333,0.5]
precision
0.6070652173913044 [0.706522,0.375]
precision
0.5463157894736842 [0.694737,0.2]
precision
0.5749615975422427 [0.698925,0.285714]
precision
0.6333333333333333 [0.714286,0.444444]
predictive_accuracy
0.66
predictive_accuracy
0.66
predictive_accuracy
0.65
predictive_accuracy
0.72
predictive_accuracy
0.75
predictive_accuracy
0.7
predictive_accuracy
0.68
predictive_accuracy
0.67
predictive_accuracy
0.67
predictive_accuracy
0.69
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
0.9442403230238942
relative_absolute_error
0.972266630055668
relative_absolute_error
0.9428404500646059
relative_absolute_error
0.907277148626971
relative_absolute_error
0.9148771100961736
relative_absolute_error
0.9466121879519406
relative_absolute_error
0.9299800956848042
relative_absolute_error
0.9479717120462017
relative_absolute_error
0.939745155169757
relative_absolute_error
0.8956667149533816
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
0.4543790590731319
root_mean_squared_error
0.46963141678098963
root_mean_squared_error
0.4506554610339415
root_mean_squared_error
0.4255643681152588
root_mean_squared_error
0.4456451868135434
root_mean_squared_error
0.44619499296386944
root_mean_squared_error
0.44583849587452623
root_mean_squared_error
0.45135861546278283
root_mean_squared_error
0.4483303766398195
root_mean_squared_error
0.43845771707728887
root_relative_squared_error
0.9915360201619973
root_relative_squared_error
1.0248193807345236
root_relative_squared_error
0.9834104661631108
root_relative_squared_error
0.9286572333339955
root_relative_squared_error
0.9724771556127798
root_relative_squared_error
0.9736769305391746
root_relative_squared_error
0.9728989904072336
root_relative_squared_error
0.9849448743406242
root_relative_squared_error
0.9783367179771993
root_relative_squared_error
0.9567928167441313
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
0.49047619047619045 [0.914286,0.066667]
unweighted_recall
0.48095238095238096 [0.928571,0.033333]
unweighted_recall
0.5023809523809524 [0.871429,0.133333]
unweighted_recall
0.5619047619047619 [0.957143,0.166667]
unweighted_recall
0.5833333333333334 [1,0.166667]
unweighted_recall
0.5190476190476191 [0.971429,0.066667]
unweighted_recall
0.5142857142857143 [0.928571,0.1]
unweighted_recall
0.4880952380952381 [0.942857,0.033333]
unweighted_recall
0.4976190476190476 [0.928571,0.066667]
unweighted_recall
0.530952380952381 [0.928571,0.133333]
usercpu_time_millis
228.14399999998614
usercpu_time_millis
248.13600000001657
usercpu_time_millis
247.40800000000718
usercpu_time_millis
230.80599999997276
usercpu_time_millis
207.80200000001514
usercpu_time_millis
200.8639999999957
usercpu_time_millis
203.85799999999676
usercpu_time_millis
216.5979999999763
usercpu_time_millis
233.12000000001376
usercpu_time_millis
214.7979999999734
usercpu_time_millis_testing
6.7699999999888405
usercpu_time_millis_testing
11.804000000012138
usercpu_time_millis_testing
9.912000000014132
usercpu_time_millis_testing
7.845999999972264
usercpu_time_millis_testing
6.894000000016831
usercpu_time_millis_testing
7.713999999992893
usercpu_time_millis_testing
7.102000000003272
usercpu_time_millis_testing
9.88799999998946
usercpu_time_millis_testing
7.339999999999236
usercpu_time_millis_testing
11.81199999999194
usercpu_time_millis_training
221.3739999999973
usercpu_time_millis_training
236.33200000000443
usercpu_time_millis_training
237.49599999999305
usercpu_time_millis_training
222.9600000000005
usercpu_time_millis_training
200.9079999999983
usercpu_time_millis_training
193.15000000000282
usercpu_time_millis_training
196.7559999999935
usercpu_time_millis_training
206.70999999998685
usercpu_time_millis_training
225.78000000001452
usercpu_time_millis_training
202.98599999998146
wall_clock_time_millis
117.41781234741211
wall_clock_time_millis
131.0129165649414
wall_clock_time_millis
127.7000904083252
wall_clock_time_millis
117.34390258789062
wall_clock_time_millis
106.69326782226562
wall_clock_time_millis
102.04792022705078
wall_clock_time_millis
102.74887084960938
wall_clock_time_millis
110.260009765625
wall_clock_time_millis
125.01072883605957
wall_clock_time_millis
110.97598075866699
wall_clock_time_millis_testing
3.3898353576660156
wall_clock_time_millis_testing
6.173849105834961
wall_clock_time_millis_testing
5.03993034362793
wall_clock_time_millis_testing
3.9680004119873047
wall_clock_time_millis_testing
3.515958786010742
wall_clock_time_millis_testing
3.938913345336914
wall_clock_time_millis_testing
3.579854965209961
wall_clock_time_millis_testing
5.389213562011719
wall_clock_time_millis_testing
3.6919116973876953
wall_clock_time_millis_testing
5.964040756225586
wall_clock_time_millis_training
114.0279769897461
wall_clock_time_millis_training
124.83906745910645
wall_clock_time_millis_training
122.66016006469727
wall_clock_time_millis_training
113.37590217590332
wall_clock_time_millis_training
103.17730903625488
wall_clock_time_millis_training
98.10900688171387
wall_clock_time_millis_training
99.16901588439941
wall_clock_time_millis_training
104.87079620361328
wall_clock_time_millis_training
121.31881713867188
wall_clock_time_millis_training
105.0119400024414
weighted_recall
0.66 [0.914286,0.066667]
weighted_recall
0.66 [0.928571,0.033333]
weighted_recall
0.65 [0.871429,0.133333]
weighted_recall
0.72 [0.957143,0.166667]
weighted_recall
0.75 [1,0.166667]
weighted_recall
0.7 [0.971429,0.066667]
weighted_recall
0.68 [0.928571,0.1]
weighted_recall
0.67 [0.942857,0.033333]
weighted_recall
0.67 [0.928571,0.066667]
weighted_recall
0.69 [0.928571,0.133333]