10326538
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)
8182211
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
8.973055290432324
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5701344387842959
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.007654592599531776
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
14397
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
21574762
description
https://api.openml.org/data/download/21574762/description.xml
-1
21574763
predictions
https://api.openml.org/data/download/21574763/predictions.arff
area_under_roc_curve
0.8203125 [0.857812,0.829167,0.823438,0.778125,0.891146,0.771875,0.778646,0.894271,0.758333]
average_cost
0
f_measure
0.7233286381396431 [0.830918,0.432532,0.776119,0.686869,0.874419,0.6875,0.690355,0.87156,0.659686]
kappa
0.640625
kb_relative_information_score
0.6634316180307784
mean_absolute_error
0.0709876543209878
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8607935837066333 [0.988506,0.27791,0.962963,0.871795,0.989474,0.916667,0.883117,0.969388,0.887324]
predictive_accuracy
0.6805555555555556
prior_entropy
3.1699250014422624
recall
0.6805555555555556 [0.716667,0.975,0.65,0.566667,0.783333,0.55,0.566667,0.791667,0.525]
relative_absolute_error
0.3593750000000096
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.2664350846284847
root_relative_squared_error
0.8477912478906698
total_cost
0
area_under_roc_curve
0.8385416666666666 [0.875,0.848958,0.791667,0.916667,0.958333,0.791667,0.739583,0.916667,0.708333]
area_under_roc_curve
0.7604166666666666 [0.833333,0.786458,0.75,0.817708,0.791667,0.828125,0.708333,0.75,0.578125]
area_under_roc_curve
0.8072916666666666 [0.791667,0.776042,0.875,0.744792,0.875,0.791667,0.75,0.911458,0.75]
area_under_roc_curve
0.8645833333333334 [0.875,0.869792,0.916667,0.75,0.958333,0.744792,0.916667,0.916667,0.833333]
area_under_roc_curve
0.828125 [0.833333,0.859375,0.791667,0.828125,0.958333,0.708333,0.822917,0.911458,0.739583]
area_under_roc_curve
0.8333333333333334 [0.875,0.84375,0.911458,0.708333,0.875,0.75,0.833333,0.911458,0.791667]
area_under_roc_curve
0.828125 [0.875,0.817708,0.90625,0.78125,0.875,0.75,0.786458,0.916667,0.744792]
area_under_roc_curve
0.8385416666666666 [0.994792,0.864583,0.791667,0.78125,0.916667,0.786458,0.75,0.833333,0.828125]
area_under_roc_curve
0.7708333333333334 [0.791667,0.807292,0.791667,0.75,0.791667,0.744792,0.609375,0.916667,0.734375]
area_under_roc_curve
0.8333333333333334 [0.833333,0.817708,0.708333,0.703125,0.911458,0.822917,0.869792,0.958333,0.875]
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
0.7496217897531465 [0.857143,0.45283,0.736842,0.909091,0.956522,0.736842,0.6,0.909091,0.588235]
f_measure
0.6168739004921533 [0.8,0.369231,0.666667,0.695652,0.736842,0.761905,0.588235,0.666667,0.266667]
f_measure
0.7113064186369639 [0.736842,0.37931,0.857143,0.631579,0.857143,0.736842,0.666667,0.869565,0.666667]
f_measure
0.7921087617720504 [0.857143,0.489796,0.909091,0.666667,0.956522,0.631579,0.909091,0.909091,0.8]
f_measure
0.7234366755971279 [0.8,0.470588,0.736842,0.761905,0.956522,0.588235,0.727273,0.869565,0.6]
f_measure
0.7432894066178043 [0.857143,0.444444,0.869565,0.588235,0.857143,0.666667,0.8,0.869565,0.736842]
f_measure
0.7290691374901902 [0.857143,0.44,0.833333,0.666667,0.857143,0.666667,0.7,0.909091,0.631579]
f_measure
0.7423523455102402 [0.96,0.48,0.736842,0.666667,0.909091,0.7,0.666667,0.8,0.761905]
f_measure
0.6351185962920217 [0.736842,0.393443,0.736842,0.666667,0.736842,0.631579,0.333333,0.909091,0.571429]
f_measure
0.7347194676435939 [0.8,0.44,0.588235,0.555556,0.869565,0.727273,0.818182,0.956522,0.857143]
kappa
0.6770833333333334
kappa
0.5208333333333334
kappa
0.6145833333333334
kappa
0.7291666666666667
kappa
0.65625
kappa
0.6666666666666666
kappa
0.65625
kappa
0.6770833333333334
kappa
0.5416666666666666
kappa
0.6666666666666666
kb_relative_information_score
0.697576236491414
kb_relative_information_score
0.5512421573743562
kb_relative_information_score
0.639042604844591
kb_relative_information_score
0.7463542628637663
kb_relative_information_score
0.6780650259424728
kb_relative_information_score
0.6878206312169434
kb_relative_information_score
0.6780650259424728
kb_relative_information_score
0.697576236491414
kb_relative_information_score
0.5707533679232973
kb_relative_information_score
0.6878206312169434
mean_absolute_error
0.06378600823045269
mean_absolute_error
0.09465020576131682
mean_absolute_error
0.07613168724279837
mean_absolute_error
0.05349794238683129
mean_absolute_error
0.06790123456790126
mean_absolute_error
0.06584362139917697
mean_absolute_error
0.06790123456790126
mean_absolute_error
0.06378600823045269
mean_absolute_error
0.09053497942386828
mean_absolute_error
0.06584362139917697
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
0.8936314363143631 [1,0.292683,1,1,1,1,0.75,1,1]
precision
0.8343603752408784 [1,0.226415,1,0.727273,1,0.888889,1,1,0.666667]
precision
0.8894849112240416 [1,0.23913,1,0.857143,1,1,1,0.909091,1]
precision
0.909051909051909 [1,0.324324,1,1,1,0.857143,1,1,1]
precision
0.8506302339635673 [1,0.307692,1,0.888889,1,1,0.8,0.909091,0.75]
precision
0.9004329004329004 [1,0.285714,0.909091,1,1,1,1,0.909091,1]
precision
0.8480808502738326 [1,0.289474,0.833333,0.777778,1,1,0.875,1,0.857143]
precision
0.8645036737142 [0.923077,0.315789,1,0.777778,1,0.875,1,1,0.888889]
precision
0.807634164777022 [1,0.244898,1,1,1,0.857143,0.5,1,0.666667]
precision
0.8590997696260855 [1,0.289474,1,0.833333,0.909091,0.8,0.9,1,1]
predictive_accuracy
0.7129629629629629
predictive_accuracy
0.5740740740740741
predictive_accuracy
0.6574074074074074
predictive_accuracy
0.7592592592592592
predictive_accuracy
0.6944444444444444
predictive_accuracy
0.7037037037037037
predictive_accuracy
0.6944444444444444
predictive_accuracy
0.7129629629629629
predictive_accuracy
0.5925925925925926
predictive_accuracy
0.7037037037037037
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
0.7129629629629629 [0.75,1,0.583333,0.833333,0.916667,0.583333,0.5,0.833333,0.416667]
recall
0.5740740740740741 [0.666667,1,0.5,0.666667,0.583333,0.666667,0.416667,0.5,0.166667]
recall
0.6574074074074074 [0.583333,0.916667,0.75,0.5,0.75,0.583333,0.5,0.833333,0.5]
recall
0.7592592592592593 [0.75,1,0.833333,0.5,0.916667,0.5,0.833333,0.833333,0.666667]
recall
0.6944444444444444 [0.666667,1,0.583333,0.666667,0.916667,0.416667,0.666667,0.833333,0.5]
recall
0.7037037037037037 [0.75,1,0.833333,0.416667,0.75,0.5,0.666667,0.833333,0.583333]
recall
0.6944444444444444 [0.75,0.916667,0.833333,0.583333,0.75,0.5,0.583333,0.833333,0.5]
recall
0.7129629629629629 [1,1,0.583333,0.583333,0.833333,0.583333,0.5,0.666667,0.666667]
recall
0.5925925925925926 [0.583333,1,0.583333,0.5,0.583333,0.5,0.25,0.833333,0.5]
recall
0.7037037037037037 [0.666667,0.916667,0.416667,0.416667,0.833333,0.666667,0.75,0.916667,0.75]
relative_absolute_error
0.32291666666666585
relative_absolute_error
0.4791666666666651
relative_absolute_error
0.38541666666666563
relative_absolute_error
0.27083333333333265
relative_absolute_error
0.3437499999999992
relative_absolute_error
0.3333333333333325
relative_absolute_error
0.3437499999999992
relative_absolute_error
0.32291666666666585
relative_absolute_error
0.4583333333333319
relative_absolute_error
0.3333333333333325
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
0.2525589203145529
root_mean_squared_error
0.3076527356636323
root_mean_squared_error
0.2759197115879878
root_mean_squared_error
0.23129622216290366
root_mean_squared_error
0.2605786533235239
root_mean_squared_error
0.2566001196398337
root_mean_squared_error
0.2605786533235239
root_mean_squared_error
0.2525589203145529
root_mean_squared_error
0.3008903112828133
root_mean_squared_error
0.2566001196398337
root_relative_squared_error
0.8036375634160785
root_relative_squared_error
0.9789450103725593
root_relative_squared_error
0.8779711460710604
root_relative_squared_error
0.7359800721939862
root_relative_squared_error
0.8291561975888491
root_relative_squared_error
0.8164965809277249
root_relative_squared_error
0.8291561975888491
root_relative_squared_error
0.8036375634160785
root_relative_squared_error
0.9574271077563367
root_relative_squared_error
0.8164965809277249
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
2615.77929899795
usercpu_time_millis
2622.6372309974977
usercpu_time_millis
2603.0025479922188
usercpu_time_millis
2568.184145995474
usercpu_time_millis
2566.1079669953324
usercpu_time_millis
2598.0173269999796
usercpu_time_millis
2634.9814310015063
usercpu_time_millis
2613.6768880023737
usercpu_time_millis
2592.0682470023166
usercpu_time_millis
2576.2376630009385
usercpu_time_millis_testing
129.39773799735121
usercpu_time_millis_testing
133.10097700014012
usercpu_time_millis_testing
126.25194399879547
usercpu_time_millis_testing
128.5965259958175
usercpu_time_millis_testing
130.34953799797222
usercpu_time_millis_testing
132.59519200073555
usercpu_time_millis_testing
134.09692700224696
usercpu_time_millis_testing
130.91665400133934
usercpu_time_millis_testing
127.47516899980837
usercpu_time_millis_testing
137.25069200154394
usercpu_time_millis_training
2486.3815610005986
usercpu_time_millis_training
2489.5362539973576
usercpu_time_millis_training
2476.7506039934233
usercpu_time_millis_training
2439.5876199996565
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
2500.8845039992593
usercpu_time_millis_training
2482.7602340010344
usercpu_time_millis_training
2464.5930780025083
usercpu_time_millis_training
2438.9869709993945
wall_clock_time_millis
2683.961868286133
wall_clock_time_millis
2622.849225997925
wall_clock_time_millis
2867.1844005584717
wall_clock_time_millis
2808.411121368408
wall_clock_time_millis
2758.314371109009
wall_clock_time_millis
2934.234619140625
wall_clock_time_millis
2731.393814086914
wall_clock_time_millis
2877.948045730591
wall_clock_time_millis
2816.359519958496
wall_clock_time_millis
2696.6044902801514
wall_clock_time_millis_testing
129.41741943359375
wall_clock_time_millis_testing
133.12196731567383
wall_clock_time_millis_testing
126.27315521240234
wall_clock_time_millis_testing
128.62777709960938
wall_clock_time_millis_testing
130.3718090057373
wall_clock_time_millis_testing
132.615327835083
wall_clock_time_millis_testing
134.11903381347656
wall_clock_time_millis_testing
130.9375762939453
wall_clock_time_millis_testing
127.55656242370605
wall_clock_time_millis_testing
161.26179695129395
wall_clock_time_millis_training
2554.544448852539
wall_clock_time_millis_training
2489.727258682251
wall_clock_time_millis_training
2740.9112453460693
wall_clock_time_millis_training
2679.783344268799
wall_clock_time_millis_training
2627.9425621032715
wall_clock_time_millis_training
2801.619291305542
wall_clock_time_millis_training
2597.2747802734375
wall_clock_time_millis_training
2747.0104694366455
wall_clock_time_millis_training
2688.80295753479
wall_clock_time_millis_training
2535.3426933288574