10326673
8323
Heinrich Peters
9981
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182344
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
4.307035567982047
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.09908308412988551
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
48834
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
1468
cnae-9
https://www.openml.org/data/download/1586233/phpmcGu2X
-1
21575032
description
https://api.openml.org/data/download/21575032/description.xml
-1
21575033
predictions
https://api.openml.org/data/download/21575033/predictions.arff
area_under_roc_curve
0.6484375 [0.658333,0.652083,0.616667,0.623958,0.691146,0.611458,0.645833,0.711458,0.625]
average_cost
0
f_measure
0.42897783934400163 [0.481013,0.264739,0.378378,0.394737,0.550898,0.362416,0.439024,0.589595,0.4]
kappa
0.296875
kb_relative_information_score
0.34149664397324725
mean_absolute_error
0.13888888888889098
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8644959783101414 [1,0.15276,1,0.9375,0.978723,0.931034,0.818182,0.962264,1]
predictive_accuracy
0.375
prior_entropy
3.1699250014422624
recall
0.375 [0.316667,0.991667,0.233333,0.25,0.383333,0.225,0.3,0.425,0.25]
relative_absolute_error
0.7031250000000279
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.3726779962499677
root_relative_squared_error
1.1858541225631654
total_cost
0
area_under_roc_curve
0.6510416666666666 [0.583333,0.661458,0.541667,0.666667,0.791667,0.666667,0.65625,0.708333,0.583333]
area_under_roc_curve
0.609375 [0.666667,0.619792,0.666667,0.619792,0.583333,0.541667,0.536458,0.708333,0.541667]
area_under_roc_curve
0.6197916666666666 [0.541667,0.583333,0.625,0.583333,0.75,0.583333,0.541667,0.786458,0.583333]
area_under_roc_curve
0.671875 [0.625,0.677083,0.666667,0.583333,0.791667,0.541667,0.744792,0.708333,0.708333]
area_under_roc_curve
0.6510416666666666 [0.625,0.666667,0.583333,0.708333,0.744792,0.5,0.703125,0.744792,0.583333]
area_under_roc_curve
0.6510416666666666 [0.75,0.661458,0.583333,0.536458,0.666667,0.703125,0.666667,0.666667,0.625]
area_under_roc_curve
0.6666666666666666 [0.666667,0.666667,0.666667,0.708333,0.541667,0.666667,0.708333,0.708333,0.666667]
area_under_roc_curve
0.6302083333333334 [0.708333,0.635417,0.625,0.625,0.708333,0.578125,0.625,0.583333,0.583333]
area_under_roc_curve
0.6614583333333334 [0.75,0.671875,0.583333,0.625,0.75,0.625,0.572917,0.708333,0.666667]
area_under_roc_curve
0.671875 [0.666667,0.677083,0.625,0.583333,0.583333,0.708333,0.703125,0.791667,0.708333]
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
0.4182732767164766 [0.285714,0.269663,0.153846,0.5,0.736842,0.5,0.444444,0.588235,0.285714]
f_measure
0.32743574564375044 [0.5,0.247423,0.5,0.375,0.285714,0.153846,0.142857,0.588235,0.153846]
f_measure
0.35145341987447254 [0.153846,0.231579,0.4,0.285714,0.666667,0.285714,0.153846,0.7,0.285714]
f_measure
0.4626135386521304 [0.4,0.27907,0.5,0.285714,0.736842,0.153846,0.631579,0.588235,0.588235]
f_measure
0.4244951746824406 [0.666667,0.269663,0.285714,0.142857,0.5,0.555556,0.5,0.5,0.4]
f_measure
0.4656977009918186 [0.5,0.272727,0.5,0.588235,0.153846,0.5,0.588235,0.588235,0.5]
f_measure
0.38554277502963363 [0.588235,0.255319,0.4,0.4,0.588235,0.266667,0.4,0.285714,0.285714]
f_measure
0.4481272202367537 [0.666667,0.275862,0.285714,0.4,0.666667,0.4,0.25,0.588235,0.5]
f_measure
0.46881850976938216 [0.5,0.27907,0.4,0.285714,0.285714,0.588235,0.555556,0.736842,0.588235]
kappa
0.30208333333333337
kappa
0.21875000000000006
kappa
0.23958333333333334
kappa
0.34375000000000006
kappa
0.30208333333333337
kappa
0.30208333333333337
kappa
0.3333333333333333
kappa
0.26041666666666674
kappa
0.3229166666666667
kappa
0.34375000000000006
kb_relative_information_score
0.3463744466104755
kb_relative_information_score
0.26832960441471176
kb_relative_information_score
0.2878408149636526
kb_relative_information_score
0.3853968677083578
kb_relative_information_score
0.3463744466104756
kb_relative_information_score
0.34637444661047573
kb_relative_information_score
0.37564126243388735
kb_relative_information_score
0.3073520255125937
kb_relative_information_score
0.3658856571594168
kb_relative_information_score
0.3853968677083578
mean_absolute_error
0.13786008230452654
mean_absolute_error
0.15432098765432073
mean_absolute_error
0.1502057613168722
mean_absolute_error
0.12962962962962946
mean_absolute_error
0.13786008230452654
mean_absolute_error
0.13786008230452654
mean_absolute_error
0.13168724279835373
mean_absolute_error
0.14609053497942362
mean_absolute_error
0.133744855967078
mean_absolute_error
0.12962962962962946
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
mean_prior_absolute_error
0.1975308641975314
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
number_of_instances
108 [12,12,12,12,12,12,12,12,12]
precision
0.8691678691678691 [1,0.155844,1,1,1,1,0.666667,1,1]
precision
0.8212418300653594 [1,0.141176,1,0.75,1,1,0.5,1,1]
precision
0.8897255689424364 [1,0.13253,1,1,1,1,1,0.875,1]
precision
0.891033891033891 [1,0.162162,1,1,1,1,0.857143,1,1]
precision
0.8321308321308322 [1,0.155844,1,0.5,1,0.833333,1,1,1]
precision
0.9064327485380117 [1,0.157895,1,1,1,1,1,1,1]
precision
0.8681120144534779 [1,0.146341,1,1,1,0.666667,1,1,1]
precision
0.8511111111111112 [1,0.16,1,1,1,1,0.5,1,1]
precision
0.8883883883883883 [1,0.162162,1,1,1,1,0.833333,1,1]
predictive_accuracy
0.3796296296296296
predictive_accuracy
0.3055555555555556
predictive_accuracy
0.32407407407407407
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.3796296296296296
predictive_accuracy
0.3796296296296296
predictive_accuracy
0.4074074074074074
predictive_accuracy
0.3425925925925926
predictive_accuracy
0.39814814814814814
predictive_accuracy
0.41666666666666663
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
prior_entropy
3.169925001442319
recall
0.37962962962962965 [0.166667,1,0.083333,0.333333,0.583333,0.333333,0.333333,0.416667,0.166667]
recall
0.3055555555555556 [0.333333,1,0.333333,0.25,0.166667,0.083333,0.083333,0.416667,0.083333]
recall
0.32407407407407407 [0.083333,0.916667,0.25,0.166667,0.5,0.166667,0.083333,0.583333,0.166667]
recall
0.4166666666666667 [0.25,1,0.333333,0.166667,0.583333,0.083333,0.5,0.416667,0.416667]
recall
0.37962962962962965 [0.25,1,0.166667,0.416667,0.5,0,0.416667,0.5,0.166667]
recall
0.37962962962962965 [0.5,1,0.166667,0.083333,0.333333,0.416667,0.333333,0.333333,0.25]
recall
0.4074074074074074 [0.333333,1,0.333333,0.416667,0.083333,0.333333,0.416667,0.416667,0.333333]
recall
0.3425925925925926 [0.416667,1,0.25,0.25,0.416667,0.166667,0.25,0.166667,0.166667]
recall
0.39814814814814814 [0.5,1,0.166667,0.25,0.5,0.25,0.166667,0.416667,0.333333]
recall
0.4166666666666667 [0.333333,1,0.25,0.166667,0.166667,0.416667,0.416667,0.583333,0.416667]
relative_absolute_error
0.6979166666666636
relative_absolute_error
0.7812499999999966
relative_absolute_error
0.7604166666666634
relative_absolute_error
0.6562499999999973
relative_absolute_error
0.6979166666666636
relative_absolute_error
0.6979166666666636
relative_absolute_error
0.6666666666666639
relative_absolute_error
0.73958333333333
relative_absolute_error
0.6770833333333305
relative_absolute_error
0.6562499999999973
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_prior_squared_error
0.3142696805273549
root_mean_squared_error
0.3712951417733964
root_mean_squared_error
0.39283710065919275
root_mean_squared_error
0.3875638803047469
root_mean_squared_error
0.36004114991154756
root_mean_squared_error
0.3712951417733964
root_mean_squared_error
0.3712951417733964
root_mean_squared_error
0.3628873693012113
root_mean_squared_error
0.38221791556574586
root_mean_squared_error
0.365711438113546
root_mean_squared_error
0.36004114991154756
root_relative_squared_error
1.1814539065631495
root_relative_squared_error
1.2499999999999973
root_relative_squared_error
1.233220715579059
root_relative_squared_error
1.145643923738958
root_relative_squared_error
1.1814539065631495
root_relative_squared_error
1.1814539065631495
root_relative_squared_error
1.1547005383792492
root_relative_squared_error
1.216209959943866
root_relative_squared_error
1.163686670314076
root_relative_squared_error
1.145643923738958
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
2725.184029004595
usercpu_time_millis
2704.0970679954626
usercpu_time_millis
2697.1163119960693
usercpu_time_millis
2697.0063379994826
usercpu_time_millis
2711.1718349988223
usercpu_time_millis
2712.8809269997873
usercpu_time_millis
2726.205230006599
usercpu_time_millis
2702.826469001593
usercpu_time_millis
2716.4542289974634
usercpu_time_millis
2700.7222970059956
usercpu_time_millis_testing
158.05970500514377
usercpu_time_millis_testing
156.6174229956232
usercpu_time_millis_testing
162.95136899861973
usercpu_time_millis_testing
153.56850899843266
usercpu_time_millis_testing
154.74182199977804
usercpu_time_millis_testing
160.3126150002936
usercpu_time_millis_testing
160.37089200108312
usercpu_time_millis_testing
155.4105620016344
usercpu_time_millis_testing
160.52785600186326
usercpu_time_millis_testing
165.9194120002212
usercpu_time_millis_training
2567.124323999451
usercpu_time_millis_training
2547.4796449998394
usercpu_time_millis_training
2534.1649429974495
usercpu_time_millis_training
2543.43782900105
usercpu_time_millis_training
2556.4300129990443
usercpu_time_millis_training
2552.5683119994937
usercpu_time_millis_training
2565.8343380055157
usercpu_time_millis_training
2547.4159069999587
usercpu_time_millis_training
2555.9263729956
usercpu_time_millis_training
2534.8028850057744
wall_clock_time_millis
2805.4754734039307
wall_clock_time_millis
2784.395217895508
wall_clock_time_millis
2745.4423904418945
wall_clock_time_millis
2961.3044261932373
wall_clock_time_millis
2867.5293922424316
wall_clock_time_millis
2745.6283569335938
wall_clock_time_millis
2758.9170932769775
wall_clock_time_millis
2739.9065494537354
wall_clock_time_millis
2806.5805435180664
wall_clock_time_millis
2700.946807861328
wall_clock_time_millis_testing
158.09059143066406
wall_clock_time_millis_testing
156.63814544677734
wall_clock_time_millis_testing
162.97483444213867
wall_clock_time_millis_testing
153.59139442443848
wall_clock_time_millis_testing
154.79612350463867
wall_clock_time_millis_testing
160.37440299987793
wall_clock_time_millis_testing
160.48860549926758
wall_clock_time_millis_testing
155.47561645507812
wall_clock_time_millis_testing
160.55035591125488
wall_clock_time_millis_testing
165.94243049621582
wall_clock_time_millis_training
2647.3848819732666
wall_clock_time_millis_training
2627.7570724487305
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
2712.733268737793
wall_clock_time_millis_training
2585.253953933716
wall_clock_time_millis_training
2598.42848777771
wall_clock_time_millis_training
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wall_clock_time_millis_training
2646.0301876068115
wall_clock_time_millis_training
2535.0043773651123