10326890
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)
8182560
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
501.5744284574111
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6985159993759883
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.18598884343194927
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
37354
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
21575466
description
https://api.openml.org/data/download/21575466/description.xml
-1
21575467
predictions
https://api.openml.org/data/download/21575467/predictions.arff
area_under_roc_curve
0.6046875 [0.629167,0.610938,0.55,0.586979,0.632812,0.573438,0.613542,0.666146,0.579167]
average_cost
0
f_measure
0.3265424246099687 [0.410596,0.243161,0.181818,0.295775,0.418301,0.255319,0.363636,0.496894,0.273381]
kappa
0.209375
kb_relative_information_score
0.25954955966769494
mean_absolute_error
0.15617283950617541
mean_prior_absolute_error
0.197530864197526
number_of_instances
1080 [120,120,120,120,120,120,120,120,120]
precision
0.8576591948606463 [1,0.138408,1,0.954545,0.969697,0.857143,0.823529,0.97561,1]
predictive_accuracy
0.2972222222222222
prior_entropy
3.1699250014422624
recall
0.2972222222222222 [0.258333,1,0.1,0.175,0.266667,0.15,0.233333,0.333333,0.158333]
relative_absolute_error
0.7906250000000326
root_mean_prior_squared_error
0.3142696805273506
root_mean_squared_error
0.3951870943061975
root_relative_squared_error
1.257477633995955
total_cost
0
area_under_roc_curve
0.625 [0.583333,0.640625,0.541667,0.583333,0.75,0.619792,0.65625,0.666667,0.583333]
area_under_roc_curve
0.578125 [0.625,0.583333,0.583333,0.5,0.583333,0.541667,0.536458,0.708333,0.541667]
area_under_roc_curve
0.59375 [0.541667,0.59375,0.541667,0.541667,0.666667,0.583333,0.541667,0.75,0.583333]
area_under_roc_curve
0.6197916666666666 [0.583333,0.619792,0.541667,0.583333,0.75,0.541667,0.666667,0.708333,0.583333]
area_under_roc_curve
0.5989583333333334 [0.625,0.604167,0.5,0.583333,0.661458,0.5,0.666667,0.708333,0.541667]
area_under_roc_curve
0.609375 [0.708333,0.619792,0.583333,0.536458,0.583333,0.619792,0.625,0.625,0.583333]
area_under_roc_curve
0.6145833333333334 [0.625,0.614583,0.541667,0.708333,0.541667,0.583333,0.666667,0.625,0.625]
area_under_roc_curve
0.578125 [0.666667,0.588542,0.541667,0.625,0.625,0.536458,0.541667,0.536458,0.541667]
area_under_roc_curve
0.6197916666666666 [0.75,0.630208,0.541667,0.625,0.625,0.583333,0.572917,0.625,0.625]
area_under_roc_curve
0.609375 [0.583333,0.614583,0.583333,0.583333,0.541667,0.625,0.661458,0.708333,0.583333]
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
0.36168495980323945 [0.285714,0.258065,0.153846,0.285714,0.666667,0.375,0.444444,0.5,0.285714]
f_measure
0.2876415523474347 [0.153846,0.235294,0.153846,0.153846,0.5,0.285714,0.153846,0.666667,0.285714]
f_measure
0.35190664511465 [0.285714,0.247423,0.153846,0.285714,0.666667,0.153846,0.5,0.588235,0.285714]
f_measure
0.3345175527255576 [0.588235,0.247423,0.285714,0.142857,0.285714,0.375,0.4,0.4,0.285714]
f_measure
0.34739331630087933 [0.4,0.244898,0.153846,0.588235,0.153846,0.285714,0.5,0.4,0.4]
f_measure
0.253362495110068 [0.5,0.23301,0.153846,0.4,0.4,0.142857,0.153846,0.142857,0.153846]
f_measure
0.3565398539082749 [0.666667,0.252632,0.153846,0.4,0.4,0.285714,0.25,0.4,0.4]
f_measure
0.33338053169985954 [0.285714,0.244898,0.285714,0.285714,0.153846,0.4,0.470588,0.588235,0.285714]
kappa
0.25
kappa
0.15625000000000003
kappa
0.18750000000000003
kappa
0.23958333333333334
kappa
0.19791666666666669
kappa
0.21875000000000006
kappa
0.22916666666666669
kappa
0.15625000000000003
kappa
0.23958333333333334
kappa
0.21875000000000006
kb_relative_information_score
0.2975964202381232
kb_relative_information_score
0.20979597276788925
kb_relative_information_score
0.2390627885913006
kb_relative_information_score
0.2878408149636527
kb_relative_information_score
0.24881839386577093
kb_relative_information_score
0.2683296044147119
kb_relative_information_score
0.2780852096891822
kb_relative_information_score
0.2097959727678893
kb_relative_information_score
0.28784081496365277
kb_relative_information_score
0.2683296044147116
mean_absolute_error
0.1481481481481479
mean_absolute_error
0.16666666666666638
mean_absolute_error
0.16049382716049354
mean_absolute_error
0.1502057613168722
mean_absolute_error
0.15843621399176927
mean_absolute_error
0.15432098765432073
mean_absolute_error
0.15226337448559646
mean_absolute_error
0.16666666666666638
mean_absolute_error
0.1502057613168722
mean_absolute_error
0.15432098765432073
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
0.8405349794238682 [1,0.148148,1,1,1,0.75,0.666667,1,1]
precision
0.9037037037037037 [1,0.133333,1,1,1,1,1,1,1]
precision
0.9045751633986927 [1,0.141176,1,1,1,1,1,1,1]
precision
0.8212418300653594 [1,0.141176,1,0.5,1,0.75,1,1,1]
precision
0.9043927648578811 [1,0.139535,1,1,1,1,1,1,1]
precision
0.7924297924297924 [1,0.131868,1,1,1,0.5,1,0.5,1]
precision
0.8493975903614457 [1,0.144578,1,1,1,1,0.5,1,1]
precision
0.882170542635659 [1,0.139535,1,1,1,1,0.8,1,1]
predictive_accuracy
0.33333333333333337
predictive_accuracy
0.25
predictive_accuracy
0.2777777777777778
predictive_accuracy
0.32407407407407407
predictive_accuracy
0.28703703703703703
predictive_accuracy
0.3055555555555556
predictive_accuracy
0.3148148148148148
predictive_accuracy
0.25
predictive_accuracy
0.32407407407407407
predictive_accuracy
0.3055555555555556
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
0.3333333333333333 [0.166667,1,0.083333,0.166667,0.5,0.25,0.333333,0.333333,0.166667]
recall
0.25 [0.25,1,0.166667,0,0.166667,0.083333,0.083333,0.416667,0.083333]
recall
0.2777777777777778 [0.083333,1,0.083333,0.083333,0.333333,0.166667,0.083333,0.5,0.166667]
recall
0.32407407407407407 [0.166667,1,0.083333,0.166667,0.5,0.083333,0.333333,0.416667,0.166667]
recall
0.28703703703703703 [0.25,1,0,0.166667,0.333333,0,0.333333,0.416667,0.083333]
recall
0.3055555555555556 [0.416667,1,0.166667,0.083333,0.166667,0.25,0.25,0.25,0.166667]
recall
0.3148148148148148 [0.25,1,0.083333,0.416667,0.083333,0.166667,0.333333,0.25,0.25]
recall
0.25 [0.333333,1,0.083333,0.25,0.25,0.083333,0.083333,0.083333,0.083333]
recall
0.32407407407407407 [0.5,1,0.083333,0.25,0.25,0.166667,0.166667,0.25,0.25]
recall
0.3055555555555556 [0.166667,1,0.166667,0.166667,0.083333,0.25,0.333333,0.416667,0.166667]
relative_absolute_error
0.7499999999999966
relative_absolute_error
0.8437499999999963
relative_absolute_error
0.8124999999999963
relative_absolute_error
0.7604166666666634
relative_absolute_error
0.8020833333333297
relative_absolute_error
0.7812499999999966
relative_absolute_error
0.7708333333333299
relative_absolute_error
0.8437499999999963
relative_absolute_error
0.7604166666666634
relative_absolute_error
0.7812499999999966
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
0.3849001794597502
root_mean_squared_error
0.4082482904638627
root_mean_squared_error
0.40061680838488734
root_mean_squared_error
0.3875638803047469
root_mean_squared_error
0.39804046778156776
root_mean_squared_error
0.39283710065919275
root_mean_squared_error
0.39020939825380485
root_mean_squared_error
0.4082482904638627
root_mean_squared_error
0.3875638803047469
root_mean_squared_error
0.39283710065919275
root_relative_squared_error
1.2247448713915865
root_relative_squared_error
1.2990381056766551
root_relative_squared_error
1.2747548783981935
root_relative_squared_error
1.233220715579059
root_relative_squared_error
1.2665570127975525
root_relative_squared_error
1.2499999999999973
root_relative_squared_error
1.2416387021459423
root_relative_squared_error
1.2990381056766551
root_relative_squared_error
1.233220715579059
root_relative_squared_error
1.2499999999999973
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
2722.2981230079313
usercpu_time_millis
2732.015722998767
usercpu_time_millis
2742.3208949985565
usercpu_time_millis
2733.5544879970257
usercpu_time_millis
2740.61772999994
usercpu_time_millis
2743.027700998937
usercpu_time_millis
2740.9790870078723
usercpu_time_millis
2759.0108970034635
usercpu_time_millis
2762.3319960039225
usercpu_time_millis
2726.938121006242
usercpu_time_millis_testing
158.0923710062052
usercpu_time_millis_testing
154.99404600268463
usercpu_time_millis_testing
158.28628199960804
usercpu_time_millis_testing
163.7093109966372
usercpu_time_millis_testing
164.83082299964735
usercpu_time_millis_testing
159.07089599932078
usercpu_time_millis_testing
157.11670600285288
usercpu_time_millis_testing
156.0951150022447
usercpu_time_millis_testing
163.21480899932794
usercpu_time_millis_testing
154.2663740037824
usercpu_time_millis_training
2564.205752001726
usercpu_time_millis_training
2577.0216769960825
usercpu_time_millis_training
2584.0346129989484
usercpu_time_millis_training
2569.8451770003885
usercpu_time_millis_training
2575.7869070002926
usercpu_time_millis_training
2583.956804999616
usercpu_time_millis_training
2583.8623810050194
usercpu_time_millis_training
2602.9157820012188
usercpu_time_millis_training
2599.1171870045946
usercpu_time_millis_training
2572.6717470024596
wall_clock_time_millis
2870.5666065216064
wall_clock_time_millis
2796.79274559021
wall_clock_time_millis
2838.58060836792
wall_clock_time_millis
2877.791404724121
wall_clock_time_millis
2868.840217590332
wall_clock_time_millis
2839.308977127075
wall_clock_time_millis
2773.1993198394775
wall_clock_time_millis
2855.295419692993
wall_clock_time_millis
2772.0487117767334
wall_clock_time_millis
2871.4263439178467
wall_clock_time_millis_testing
158.11395645141602
wall_clock_time_millis_testing
155.01713752746582
wall_clock_time_millis_testing
158.30731391906738
wall_clock_time_millis_testing
179.74567413330078
wall_clock_time_millis_testing
164.8538112640381
wall_clock_time_millis_testing
159.09123420715332
wall_clock_time_millis_testing
157.13930130004883
wall_clock_time_millis_testing
172.11413383483887
wall_clock_time_millis_testing
163.2378101348877
wall_clock_time_millis_testing
154.30164337158203
wall_clock_time_millis_training
2712.4526500701904
wall_clock_time_millis_training
2641.775608062744
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
2683.1812858581543
wall_clock_time_millis_training
2608.8109016418457
wall_clock_time_millis_training
2717.1247005462646