10327008
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182676
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
117.86696136619535
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.4928250097564246
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.21199007562798622
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
32227
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21575702
description
https://api.openml.org/data/download/21575702/description.xml
-1
21575703
predictions
https://api.openml.org/data/download/21575703/predictions.arff
area_under_roc_curve
0.6744444444444443 [0.7675,0.6625,0.6775,0.625,0.72,0.545,0.63,0.75,0.674722,0.692222]
average_cost
0
f_measure
0.47758052161558623 [0.697068,0.490566,0.523985,0.4,0.611111,0.165138,0.412698,0.666667,0.254615,0.553957]
kappa
0.3488888888888888
kb_relative_information_score
0.38718611053145424
mean_absolute_error
0.11719999999999761
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9133058407675476 [1,1,1,1,1,1,1,1,0.145879,0.987179]
predictive_accuracy
0.414
prior_entropy
3.3219280948872383
recall
0.414 [0.535,0.325,0.355,0.25,0.44,0.09,0.26,0.5,1,0.385]
relative_absolute_error
0.6511111111110778
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3423448553724703
root_relative_squared_error
1.1411495179082167
total_cost
0
area_under_roc_curve
0.6805555555555556 [0.75,0.7,0.65,0.6,0.875,0.575,0.575,0.725,0.680556,0.675]
area_under_roc_curve
0.6972222222222223 [0.775,0.625,0.775,0.625,0.675,0.5,0.8,0.775,0.697222,0.725]
area_under_roc_curve
0.6583333333333334 [0.7,0.6,0.75,0.55,0.75,0.575,0.65,0.675,0.658333,0.675]
area_under_roc_curve
0.6833333333333335 [0.825,0.675,0.65,0.575,0.675,0.575,0.675,0.8,0.683333,0.7]
area_under_roc_curve
0.6833333333333335 [0.775,0.7,0.65,0.75,0.7,0.65,0.575,0.7,0.683333,0.65]
area_under_roc_curve
0.65 [0.8,0.775,0.6,0.625,0.625,0.525,0.575,0.725,0.65,0.6]
area_under_roc_curve
0.675 [0.725,0.675,0.65,0.625,0.7,0.525,0.55,0.85,0.675,0.775]
area_under_roc_curve
0.7027777777777778 [0.75,0.675,0.75,0.575,0.75,0.525,0.725,0.825,0.705556,0.747222]
area_under_roc_curve
0.65 [0.8,0.55,0.625,0.725,0.65,0.5,0.575,0.725,0.65,0.7]
area_under_roc_curve
0.6638888888888889 [0.775,0.65,0.675,0.6,0.8,0.5,0.6,0.7,0.663889,0.675]
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
0.48091217103646366 [0.666667,0.571429,0.461538,0.333333,0.857143,0.26087,0.26087,0.62069,0.258065,0.518519]
f_measure
0.44247572567124444 [0.571429,0.333333,0.666667,0.181818,0.666667,0.26087,0.461538,0.518519,0.245399,0.518519]
f_measure
0.4907880766576419 [0.787879,0.518519,0.461538,0.26087,0.518519,0.26087,0.518519,0.75,0.25974,0.571429]
f_measure
0.49958550098802557 [0.709677,0.571429,0.461538,0.666667,0.571429,0.461538,0.26087,0.571429,0.25974,0.461538]
f_measure
0.4144105257071093 [0.75,0.709677,0.333333,0.4,0.4,0.095238,0.26087,0.62069,0.240964,0.333333]
f_measure
0.46372153848974806 [0.62069,0.518519,0.461538,0.4,0.571429,0.095238,0.181818,0.823529,0.254777,0.709677]
f_measure
0.5202328515087514 [0.666667,0.518519,0.666667,0.26087,0.666667,0.095238,0.62069,0.787879,0.273973,0.645161]
kappa
0.36111111111111105
kappa
0.39444444444444443
kappa
0.3166666666666667
kappa
0.36666666666666664
kappa
0.36666666666666664
kappa
0.3
kappa
0.3499999999999999
kappa
0.40555555555555556
kappa
0.3
kappa
0.32777777777777783
kb_relative_information_score
0.3986894429276137
kb_relative_information_score
0.4300621676444338
kb_relative_information_score
0.35685914330518637
kb_relative_information_score
0.403918230380417
kb_relative_information_score
0.4039182303804171
kb_relative_information_score
0.3411727809467764
kb_relative_information_score
0.3882318680220068
kb_relative_information_score
0.44051974255004067
kb_relative_information_score
0.3411727809467762
kb_relative_information_score
0.36731671821079326
mean_absolute_error
0.11499999999999976
mean_absolute_error
0.10899999999999978
mean_absolute_error
0.12299999999999972
mean_absolute_error
0.11399999999999975
mean_absolute_error
0.11399999999999975
mean_absolute_error
0.12599999999999972
mean_absolute_error
0.11699999999999974
mean_absolute_error
0.10699999999999978
mean_absolute_error
0.12599999999999972
mean_absolute_error
0.12099999999999973
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.9148148148148149 [1,1,1,1,1,1,1,1,0.148148,1]
precision
0.913986013986014 [1,1,1,1,1,1,1,1,0.13986,1]
precision
0.9149253731343283 [1,1,1,1,1,1,1,1,0.149254,1]
precision
0.9149253731343283 [1,1,1,1,1,1,1,1,0.149254,1]
precision
0.9136986301369864 [1,1,1,1,1,1,1,1,0.136986,1]
precision
0.9145985401459853 [1,1,1,1,1,1,1,1,0.145985,1]
precision
0.9067821067821068 [1,1,1,1,1,1,1,1,0.15873,0.909091]
predictive_accuracy
0.425
predictive_accuracy
0.455
predictive_accuracy
0.385
predictive_accuracy
0.43
predictive_accuracy
0.43
predictive_accuracy
0.37
predictive_accuracy
0.415
predictive_accuracy
0.465
predictive_accuracy
0.37
predictive_accuracy
0.395
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.425 [0.5,0.4,0.3,0.2,0.75,0.15,0.15,0.45,1,0.35]
recall
0.455 [0.55,0.25,0.55,0.25,0.35,0,0.6,0.55,1,0.45]
recall
0.385 [0.4,0.2,0.5,0.1,0.5,0.15,0.3,0.35,1,0.35]
recall
0.43 [0.65,0.35,0.3,0.15,0.35,0.15,0.35,0.6,1,0.4]
recall
0.43 [0.55,0.4,0.3,0.5,0.4,0.3,0.15,0.4,1,0.3]
recall
0.37 [0.6,0.55,0.2,0.25,0.25,0.05,0.15,0.45,1,0.2]
recall
0.415 [0.45,0.35,0.3,0.25,0.4,0.05,0.1,0.7,1,0.55]
recall
0.465 [0.5,0.35,0.5,0.15,0.5,0.05,0.45,0.65,1,0.5]
recall
0.37 [0.6,0.1,0.25,0.45,0.3,0,0.15,0.45,1,0.4]
recall
0.395 [0.55,0.3,0.35,0.2,0.6,0,0.2,0.4,1,0.35]
relative_absolute_error
0.6388888888888882
relative_absolute_error
0.605555555555555
relative_absolute_error
0.6833333333333326
relative_absolute_error
0.6333333333333326
relative_absolute_error
0.6333333333333326
relative_absolute_error
0.6999999999999993
relative_absolute_error
0.6499999999999992
relative_absolute_error
0.5944444444444439
relative_absolute_error
0.6999999999999993
relative_absolute_error
0.6722222222222214
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.3391164991562631
root_mean_squared_error
0.33015148038438324
root_mean_squared_error
0.35071355833500323
root_mean_squared_error
0.33763886032268225
root_mean_squared_error
0.33763886032268225
root_mean_squared_error
0.35496478698597655
root_mean_squared_error
0.342052627529741
root_mean_squared_error
0.32710854467592215
root_mean_squared_error
0.35496478698597655
root_mean_squared_error
0.34785054261852133
root_relative_squared_error
1.1303883305208775
root_relative_squared_error
1.1005049346146116
root_relative_squared_error
1.1690451944500113
root_relative_squared_error
1.1254628677422749
root_relative_squared_error
1.1254628677422749
root_relative_squared_error
1.1832159566199225
root_relative_squared_error
1.1401754250991374
root_relative_squared_error
1.0903618155864079
root_relative_squared_error
1.1832159566199225
root_relative_squared_error
1.159501808728405
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
1052.9695579971303
usercpu_time_millis
1046.5227559980121
usercpu_time_millis
1046.5822509941063
usercpu_time_millis
1052.8484809983638
usercpu_time_millis
1066.8224479959463
usercpu_time_millis
1058.0772969988175
usercpu_time_millis
1062.7204670017818
usercpu_time_millis
1055.681291007204
usercpu_time_millis
1055.5860360036604
usercpu_time_millis
1061.0333900040132
usercpu_time_millis_testing
56.35787500068545
usercpu_time_millis_testing
56.369480000284966
usercpu_time_millis_testing
56.33104499429464
usercpu_time_millis_testing
58.50667600316228
usercpu_time_millis_testing
56.91949199535884
usercpu_time_millis_testing
56.4082929995493
usercpu_time_millis_testing
58.45741499797441
usercpu_time_millis_testing
56.2511500029359
usercpu_time_millis_testing
56.39108800096437
usercpu_time_millis_testing
57.526839002093766
usercpu_time_millis_training
996.6116829964449
usercpu_time_millis_training
990.1532759977272
usercpu_time_millis_training
990.2512059998116
usercpu_time_millis_training
994.3418049952015
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
1004.2630520038074
usercpu_time_millis_training
999.4301410042681
usercpu_time_millis_training
999.194948002696
usercpu_time_millis_training
1003.5065510019194
wall_clock_time_millis
1301.077127456665
wall_clock_time_millis
1046.6101169586182
wall_clock_time_millis
1058.6762428283691
wall_clock_time_millis
1165.0707721710205
wall_clock_time_millis
1302.9539585113525
wall_clock_time_millis
1334.212303161621
wall_clock_time_millis
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wall_clock_time_millis
1303.8678169250488
wall_clock_time_millis
1071.75612449646
wall_clock_time_millis
1325.1619338989258
wall_clock_time_millis_testing
56.372880935668945
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
72.93987274169922
wall_clock_time_millis_testing
56.421518325805664
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
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wall_clock_time_millis_training
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