10326835
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182505
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
99.82652811543757
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.6145345149169328
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.15940801509520316
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
40276
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.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21575356
description
https://api.openml.org/data/download/21575356/description.xml
-1
21575357
predictions
https://api.openml.org/data/download/21575357/predictions.arff
area_under_roc_curve
0.9058333333333334 [1,0.886111,0.963056,0.930556,0.868611,0.941944,0.790278,0.921667,0.984444,0.771667]
average_cost
0
f_measure
0.8311249556367691 [1,0.766667,0.946565,0.875,0.759305,0.897243,0.617284,0.872449,0.979798,0.596939]
kappa
0.8116666666666666
kb_relative_information_score
0.8227441053499719
mean_absolute_error
0.033900000000000215
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8323292836412666 [1,0.731818,0.963731,0.875,0.753695,0.899497,0.609756,0.890625,0.989796,0.609375]
predictive_accuracy
0.8305
prior_entropy
3.3219280948872383
recall
0.8305 [1,0.805,0.93,0.875,0.765,0.895,0.625,0.855,0.97,0.585]
relative_absolute_error
0.18833333333332875
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18411952639522028
root_relative_squared_error
0.6137317546507248
total_cost
0
area_under_roc_curve
0.9055555555555557 [1,0.952778,0.972222,0.897222,0.908333,0.95,0.816667,0.897222,1,0.661111]
area_under_roc_curve
0.9027777777777777 [1,0.875,0.95,0.894444,0.880556,0.941667,0.713889,0.925,0.975,0.872222]
area_under_roc_curve
0.9138888888888889 [1,0.908333,0.972222,0.922222,0.958333,0.944444,0.777778,0.922222,1,0.733333]
area_under_roc_curve
0.9277777777777778 [1,0.913889,0.975,0.963889,0.933333,0.922222,0.927778,0.9,0.975,0.766667]
area_under_roc_curve
0.8694444444444445 [1,0.875,0.925,0.927778,0.788889,0.886111,0.652778,0.894444,1,0.744444]
area_under_roc_curve
0.9138888888888889 [1,0.861111,0.947222,0.897222,0.838889,0.963889,0.877778,0.969444,1,0.783333]
area_under_roc_curve
0.9194444444444446 [1,0.861111,0.925,0.994444,0.911111,0.95,0.855556,0.936111,1,0.761111]
area_under_roc_curve
0.9 [1,0.863889,0.997222,0.944444,0.813889,0.941667,0.775,0.916667,0.947222,0.8]
area_under_roc_curve
0.9138888888888889 [1,0.888889,0.997222,0.991667,0.841667,0.95,0.708333,0.941667,1,0.819444]
area_under_roc_curve
0.8916666666666666 [1,0.861111,0.969444,0.872222,0.811111,0.969444,0.797222,0.913889,0.947222,0.775]
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
0.8272502115672751 [1,0.808511,0.95,0.864865,0.790698,0.947368,0.608696,0.864865,1,0.4375]
f_measure
0.8257204234966552 [1,0.711111,0.947368,0.842105,0.744186,0.878049,0.545455,0.918919,0.974359,0.695652]
f_measure
0.8430171358629132 [1,0.790698,0.95,0.894737,0.844444,0.9,0.6,0.894737,1,0.555556]
f_measure
0.8693182239990987 [1,0.829268,0.974359,0.883721,0.818182,0.894737,0.782609,0.888889,0.974359,0.647059]
f_measure
0.7625707984194338 [1,0.711111,0.918919,0.782609,0.666667,0.780488,0.4,0.842105,1,0.52381]
f_measure
0.8444185766371335 [1,0.75,0.923077,0.864865,0.736842,0.883721,0.727273,0.926829,1,0.631579]
f_measure
0.854079822959872 [1,0.75,0.918919,0.952381,0.809524,0.947368,0.714286,0.837209,1,0.611111]
f_measure
0.8203082404301917 [1,0.769231,0.97561,0.9,0.702703,0.878049,0.585366,0.85,0.923077,0.619048]
f_measure
0.8424524209042227 [1,0.8,0.97561,0.930233,0.756757,0.947368,0.514286,0.878049,1,0.622222]
f_measure
0.8063564628443574 [1,0.75,0.926829,0.833333,0.684211,0.926829,0.604651,0.829268,0.923077,0.585366]
kappa
0.8111111111111111
kappa
0.8055555555555555
kappa
0.8277777777777777
kappa
0.8555555555555555
kappa
0.7388888888888889
kappa
0.8277777777777777
kappa
0.8388888888888889
kappa
0.7999999999999999
kappa
0.8277777777777777
kappa
0.7833333333333334
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.7960772893406711
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03900000000000002
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
0.8396981951457654 [1,0.703704,0.95,0.941176,0.73913,1,0.538462,0.941176,1,0.583333]
precision
0.8389376227637098 [1,0.64,1,0.888889,0.695652,0.857143,0.692308,1,1,0.615385]
precision
0.8463019323671497 [1,0.73913,0.95,0.944444,0.76,0.9,0.6,0.944444,1,0.625]
precision
0.8808077188511971 [1,0.809524,1,0.826087,0.75,0.944444,0.692308,1,1,0.785714]
precision
0.769976800976801 [1,0.64,1,0.692308,0.75,0.761905,0.466667,0.888889,1,0.5]
precision
0.8480504864035622 [1,0.75,0.947368,0.941176,0.777778,0.826087,0.666667,0.904762,1,0.666667]
precision
0.8583745059288538 [1,0.75,1,0.909091,0.772727,1,0.681818,0.782609,1,0.6875]
precision
0.822340945947757 [1,0.789474,0.952381,0.9,0.764706,0.857143,0.571429,0.85,0.947368,0.590909]
precision
0.8462618438679819 [1,0.8,0.952381,0.869565,0.823529,1,0.6,0.857143,1,0.56]
precision
0.8112784225055392 [1,0.75,0.904762,0.9375,0.722222,0.904762,0.565217,0.809524,0.947368,0.571429]
predictive_accuracy
0.83
predictive_accuracy
0.825
predictive_accuracy
0.845
predictive_accuracy
0.87
predictive_accuracy
0.765
predictive_accuracy
0.845
predictive_accuracy
0.855
predictive_accuracy
0.82
predictive_accuracy
0.845
predictive_accuracy
0.805
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
0.83 [1,0.95,0.95,0.8,0.85,0.9,0.7,0.8,1,0.35]
recall
0.825 [1,0.8,0.9,0.8,0.8,0.9,0.45,0.85,0.95,0.8]
recall
0.845 [1,0.85,0.95,0.85,0.95,0.9,0.6,0.85,1,0.5]
recall
0.87 [1,0.85,0.95,0.95,0.9,0.85,0.9,0.8,0.95,0.55]
recall
0.765 [1,0.8,0.85,0.9,0.6,0.8,0.35,0.8,1,0.55]
recall
0.845 [1,0.75,0.9,0.8,0.7,0.95,0.8,0.95,1,0.6]
recall
0.855 [1,0.75,0.85,1,0.85,0.9,0.75,0.9,1,0.55]
recall
0.82 [1,0.75,1,0.9,0.65,0.9,0.6,0.85,0.9,0.65]
recall
0.845 [1,0.8,1,1,0.7,0.9,0.45,0.9,1,0.7]
recall
0.805 [1,0.75,0.95,0.75,0.65,0.95,0.65,0.85,0.9,0.6]
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.21666666666666703
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
0.1843908891458578
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.19748417658131504
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6582805886043839
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
1469.0035289968364
usercpu_time_millis
2360.670227004448
usercpu_time_millis
1693.9905119943433
usercpu_time_millis
2733.425719990919
usercpu_time_millis
2147.5015229952987
usercpu_time_millis
1187.4563979945378
usercpu_time_millis
2178.4602440020535
usercpu_time_millis
3014.426829009608
usercpu_time_millis
3392.1414599972195
usercpu_time_millis
1547.7037500022561
usercpu_time_millis_testing
27.202979996218346
usercpu_time_millis_testing
26.31597000436159
usercpu_time_millis_testing
26.621429999067914
usercpu_time_millis_testing
26.9370159949176
usercpu_time_millis_testing
26.67226199992001
usercpu_time_millis_testing
26.859086996410042
usercpu_time_millis_testing
26.588648004690185
usercpu_time_millis_testing
26.09921600378584
usercpu_time_millis_testing
26.173045000177808
usercpu_time_millis_testing
26.417772998684086
usercpu_time_millis_training
1441.800549000618
usercpu_time_millis_training
2334.3542570000864
usercpu_time_millis_training
1667.3690819952753
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
3365.9684149970417
usercpu_time_millis_training
1521.285977003572
wall_clock_time_millis
1517.141580581665
wall_clock_time_millis
2488.945722579956
wall_clock_time_millis
1826.178789138794
wall_clock_time_millis
3077.69513130188
wall_clock_time_millis
2335.6711864471436
wall_clock_time_millis
1287.5733375549316
wall_clock_time_millis
2274.6427059173584
wall_clock_time_millis
3206.850290298462
wall_clock_time_millis
3581.413745880127
wall_clock_time_millis
1674.9107837677002
wall_clock_time_millis_testing
27.21881866455078
wall_clock_time_millis_testing
42.330026626586914
wall_clock_time_millis_testing
26.63588523864746
wall_clock_time_millis_testing
26.95178985595703
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
1260.699987411499
wall_clock_time_millis_training
2248.0392456054688
wall_clock_time_millis_training
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wall_clock_time_millis_training
3555.2265644073486
wall_clock_time_millis_training
1648.4787464141846