10326824
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)
8182494
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
86.94814255939787
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5721041651497317
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.038416635182561276
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
4709
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
21575334
description
https://api.openml.org/data/download/21575334/description.xml
-1
21575335
predictions
https://api.openml.org/data/download/21575335/predictions.arff
area_under_roc_curve
0.7015625 [0.711458,0.70625,0.678125,0.675521,0.75,0.657292,0.686458,0.782813,0.666146]
average_cost
0
f_measure
0.5330899301900662 [0.589595,0.300254,0.521212,0.505882,0.666667,0.475,0.522727,0.719577,0.496894]
kappa
0.403125
kb_relative_information_score
0.4410038177728471
mean_absolute_error
0.11790123456790272
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8541713841754525 [0.962264,0.177177,0.955556,0.86,1,0.95,0.821429,0.985507,0.97561]
predictive_accuracy
0.46944444444444444
prior_entropy
3.1699250014422624
recall
0.46944444444444444 [0.425,0.983333,0.358333,0.358333,0.5,0.316667,0.383333,0.566667,0.333333]
relative_absolute_error
0.5968750000000222
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.34336749200805644
root_relative_squared_error
1.0925886691706281
total_cost
0
area_under_roc_curve
0.703125 [0.708333,0.71875,0.583333,0.75,0.833333,0.666667,0.692708,0.75,0.625]
area_under_roc_curve
0.6458333333333334 [0.708333,0.661458,0.666667,0.697917,0.625,0.666667,0.536458,0.708333,0.541667]
area_under_roc_curve
0.671875 [0.661458,0.651042,0.708333,0.614583,0.75,0.666667,0.541667,0.828125,0.625]
area_under_roc_curve
0.734375 [0.625,0.739583,0.791667,0.666667,0.791667,0.583333,0.828125,0.833333,0.75]
area_under_roc_curve
0.7083333333333334 [0.666667,0.729167,0.666667,0.744792,0.791667,0.494792,0.78125,0.833333,0.666667]
area_under_roc_curve
0.7135416666666666 [0.791667,0.729167,0.703125,0.536458,0.791667,0.744792,0.791667,0.708333,0.625]
area_under_roc_curve
0.7239583333333334 [0.75,0.697917,0.703125,0.744792,0.666667,0.666667,0.744792,0.791667,0.75]
area_under_roc_curve
0.671875 [0.703125,0.677083,0.666667,0.708333,0.791667,0.583333,0.666667,0.666667,0.583333]
area_under_roc_curve
0.7083333333333334 [0.75,0.723958,0.666667,0.666667,0.791667,0.708333,0.572917,0.791667,0.703125]
area_under_roc_curve
0.734375 [0.75,0.734375,0.625,0.625,0.666667,0.791667,0.708333,0.916667,0.791667]
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
0.5238861356508415 [0.588235,0.307692,0.285714,0.666667,0.8,0.5,0.5,0.666667,0.4]
f_measure
0.40768362175117656 [0.588235,0.269663,0.5,0.526316,0.4,0.5,0.142857,0.588235,0.153846]
f_measure
0.462497219025196 [0.470588,0.268293,0.588235,0.352941,0.666667,0.5,0.153846,0.761905,0.4]
f_measure
0.579143805459595 [0.4,0.324324,0.736842,0.5,0.736842,0.285714,0.761905,0.8,0.666667]
f_measure
0.5167641325536062 [0.5,0.315789,0.5,0.631579,0.736842,0,0.666667,0.8,0.5]
f_measure
0.5382825254858278 [0.736842,0.315789,0.555556,0.142857,0.736842,0.631579,0.736842,0.588235,0.4]
f_measure
0.5766954168780652 [0.666667,0.30137,0.555556,0.631579,0.5,0.5,0.631579,0.736842,0.666667]
f_measure
0.4701256993118658 [0.555556,0.27907,0.5,0.588235,0.736842,0.285714,0.5,0.5,0.285714]
f_measure
0.5384255598393884 [0.666667,0.311688,0.5,0.5,0.736842,0.588235,0.25,0.736842,0.555556]
f_measure
0.5841863422668375 [0.666667,0.32,0.4,0.4,0.5,0.736842,0.588235,0.909091,0.736842]
kappa
0.40625
kappa
0.2916666666666667
kappa
0.34375000000000006
kappa
0.46875000000000006
kappa
0.4166666666666667
kappa
0.42708333333333337
kappa
0.44791666666666674
kappa
0.34375000000000006
kappa
0.4166666666666667
kappa
0.46875000000000006
kb_relative_information_score
0.4439304993551808
kb_relative_information_score
0.3366188413360053
kb_relative_information_score
0.3853968677083575
kb_relative_information_score
0.5024641310020042
kb_relative_information_score
0.45368610462965164
kb_relative_information_score
0.46344170990412176
kb_relative_information_score
0.48295292045306293
kb_relative_information_score
0.3853968677083578
kb_relative_information_score
0.4536861046296513
kb_relative_information_score
0.5024641310020038
mean_absolute_error
0.11728395061728382
mean_absolute_error
0.1399176954732508
mean_absolute_error
0.12962962962962946
mean_absolute_error
0.10493827160493818
mean_absolute_error
0.11522633744855953
mean_absolute_error
0.11316872427983526
mean_absolute_error
0.10905349794238672
mean_absolute_error
0.12962962962962946
mean_absolute_error
0.11522633744855953
mean_absolute_error
0.10493827160493818
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
0.8674242424242424 [1,0.181818,1,1,1,1,0.625,1,1]
precision
0.8189033189033189 [1,0.155844,1,0.714286,1,1,0.5,1,1]
precision
0.8273368606701941 [0.8,0.157143,1,0.6,1,1,1,0.888889,1]
precision
0.8980485862206292 [1,0.193548,1,1,1,1,0.888889,1,1]
precision
0.7580467372134039 [1,0.1875,1,0.857143,1,0,0.777778,1,1]
precision
0.8197751322751322 [1,0.1875,0.833333,0.5,1,0.857143,1,1,1]
precision
0.8586607684968341 [1,0.180328,0.833333,0.857143,1,1,0.857143,1,1]
precision
0.8883883883883883 [0.833333,0.162162,1,1,1,1,1,1,1]
precision
0.8353276353276352 [1,0.184615,1,1,1,1,0.5,1,0.833333]
precision
0.91005291005291 [1,0.190476,1,1,1,1,1,1,1]
predictive_accuracy
0.4722222222222222
predictive_accuracy
0.3703703703703704
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.5277777777777778
predictive_accuracy
0.48148148148148145
predictive_accuracy
0.49074074074074076
predictive_accuracy
0.5092592592592592
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.48148148148148145
predictive_accuracy
0.5277777777777778
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
0.4722222222222222 [0.416667,1,0.166667,0.5,0.666667,0.333333,0.416667,0.5,0.25]
recall
0.37037037037037035 [0.416667,1,0.333333,0.416667,0.25,0.333333,0.083333,0.416667,0.083333]
recall
0.4166666666666667 [0.333333,0.916667,0.416667,0.25,0.5,0.333333,0.083333,0.666667,0.25]
recall
0.5277777777777778 [0.25,1,0.583333,0.333333,0.583333,0.166667,0.666667,0.666667,0.5]
recall
0.48148148148148145 [0.333333,1,0.333333,0.5,0.583333,0,0.583333,0.666667,0.333333]
recall
0.49074074074074076 [0.583333,1,0.416667,0.083333,0.583333,0.5,0.583333,0.416667,0.25]
recall
0.5092592592592593 [0.5,0.916667,0.416667,0.5,0.333333,0.333333,0.5,0.583333,0.5]
recall
0.4166666666666667 [0.416667,1,0.333333,0.416667,0.583333,0.166667,0.333333,0.333333,0.166667]
recall
0.48148148148148145 [0.5,1,0.333333,0.333333,0.583333,0.416667,0.166667,0.583333,0.416667]
recall
0.5277777777777778 [0.5,1,0.25,0.25,0.333333,0.583333,0.416667,0.833333,0.583333]
relative_absolute_error
0.5937499999999977
relative_absolute_error
0.7083333333333303
relative_absolute_error
0.6562499999999973
relative_absolute_error
0.5312499999999981
relative_absolute_error
0.583333333333331
relative_absolute_error
0.5729166666666644
relative_absolute_error
0.5520833333333313
relative_absolute_error
0.6562499999999973
relative_absolute_error
0.583333333333331
relative_absolute_error
0.5312499999999981
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
0.3424674446093874
root_mean_squared_error
0.37405573845785445
root_mean_squared_error
0.36004114991154756
root_mean_squared_error
0.3239417719358499
root_mean_squared_error
0.33945005147821017
root_mean_squared_error
0.3364055948997211
root_mean_squared_error
0.3302324907430926
root_mean_squared_error
0.36004114991154756
root_mean_squared_error
0.33945005147821017
root_mean_squared_error
0.3239417719358499
root_relative_squared_error
1.0897247358851663
root_relative_squared_error
1.1902380714238059
root_relative_squared_error
1.145643923738958
root_relative_squared_error
1.0307764064044134
root_relative_squared_error
1.0801234497346412
root_relative_squared_error
1.070436048222092
root_relative_squared_error
1.0507933510765388
root_relative_squared_error
1.145643923738958
root_relative_squared_error
1.0801234497346412
root_relative_squared_error
1.0307764064044134
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
2717.3088229974383
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
145.0225459993817
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
2929.6875