10328575
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)
8184220
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
73859.26915518321
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.8827117838577592
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
4.389642843888026e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
21399
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
21578836
description
https://api.openml.org/data/download/21578836/description.xml
-1
21578837
predictions
https://api.openml.org/data/download/21578837/predictions.arff
area_under_roc_curve
0.9083333333333333 [1,0.8825,0.963056,0.93,0.872222,0.946667,0.798056,0.931389,0.984444,0.775]
average_cost
0
f_measure
0.8353215855627002 [1,0.769976,0.946565,0.870647,0.77,0.900498,0.628993,0.881612,0.979798,0.605128]
kappa
0.8166666666666667
kb_relative_information_score
0.827450014057495
mean_absolute_error
0.033000000000000196
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8360116591776832 [1,0.746479,0.963731,0.866337,0.77,0.89604,0.618357,0.888325,0.989796,0.621053]
predictive_accuracy
0.835
prior_entropy
3.3219280948872383
recall
0.835 [1,0.795,0.93,0.875,0.77,0.905,0.64,0.875,0.97,0.59]
relative_absolute_error
0.18333333333332877
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18165902124585004
root_relative_squared_error
0.6055300708194908
total_cost
0
area_under_roc_curve
0.9138888888888889 [1,0.952778,0.972222,0.897222,0.911111,0.975,0.844444,0.897222,1,0.688889]
area_under_roc_curve
0.8972222222222223 [1,0.85,0.95,0.891667,0.880556,0.941667,0.666667,0.925,0.975,0.891667]
area_under_roc_curve
0.9166666666666665 [1,0.911111,0.975,0.922222,0.958333,0.944444,0.819444,0.947222,1,0.688889]
area_under_roc_curve
0.9388888888888889 [1,0.894444,0.975,0.983333,0.941667,0.922222,0.888889,0.922222,0.975,0.886111]
area_under_roc_curve
0.8805555555555558 [1,0.877778,0.925,0.930556,0.813889,0.911111,0.702778,0.919444,1,0.725]
area_under_roc_curve
0.9055555555555556 [1,0.861111,0.947222,0.872222,0.813889,0.961111,0.85,0.969444,1,0.780556]
area_under_roc_curve
0.9194444444444444 [1,0.863889,0.922222,0.994444,0.886111,0.947222,0.880556,0.961111,1,0.738889]
area_under_roc_curve
0.913888888888889 [1,0.863889,0.997222,0.944444,0.813889,0.941667,0.833333,0.916667,0.947222,0.880556]
area_under_roc_curve
0.913888888888889 [1,0.891667,0.997222,0.991667,0.838889,0.95,0.730556,0.966667,1,0.772222]
area_under_roc_curve
0.8833333333333334 [1,0.858333,0.969444,0.872222,0.863889,0.972222,0.763889,0.888889,0.947222,0.697222]
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
0.8424297064953863 [1,0.808511,0.95,0.864865,0.809524,0.974359,0.652174,0.864865,1,0.5]
f_measure
0.8125756361348034 [1,0.681818,0.947368,0.820513,0.744186,0.878049,0.466667,0.918919,0.974359,0.693878]
f_measure
0.8468363215731637 [1,0.809524,0.974359,0.894737,0.844444,0.9,0.622222,0.923077,1,0.5]
f_measure
0.8908398698843527 [1,0.842105,0.974359,0.869565,0.878049,0.894737,0.8,0.894737,0.974359,0.780488]
f_measure
0.7829520029520028 [1,0.727273,0.918919,0.8,0.702703,0.809524,0.486486,0.871795,1,0.512821]
f_measure
0.8296781388244804 [1,0.75,0.923077,0.833333,0.702703,0.863636,0.681818,0.926829,1,0.615385]
f_measure
0.8515970995937594 [1,0.769231,0.894737,0.952381,0.780488,0.923077,0.744186,0.863636,1,0.588235]
f_measure
0.8442854978107388 [1,0.769231,0.97561,0.9,0.702703,0.878049,0.7,0.85,0.923077,0.744186]
f_measure
0.8427296677796722 [1,0.820513,0.97561,0.930233,0.736842,0.947368,0.540541,0.904762,1,0.571429]
f_measure
0.7929049405878673 [1,0.731707,0.926829,0.833333,0.769231,0.95,0.533333,0.8,0.923077,0.461538]
kappa
0.8277777777777777
kappa
0.7944444444444444
kappa
0.8333333333333333
kappa
0.8777777777777778
kappa
0.7611111111111112
kappa
0.8111111111111111
kappa
0.8388888888888889
kappa
0.8277777777777777
kappa
0.8277777777777777
kappa
0.7666666666666667
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8849666760383273
kb_relative_information_score
0.775162139529458
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.7803909269822613
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.022000000000000006
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.04200000000000001
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
0.8552373661197191 [1,0.703704,0.95,0.941176,0.772727,1,0.576923,0.941176,1,0.666667]
precision
0.8306107190765519 [1,0.625,1,0.842105,0.695652,0.857143,0.7,1,1,0.586207]
precision
0.8551206804891016 [1,0.772727,1,0.944444,0.76,0.9,0.56,0.947368,1,0.666667]
precision
0.8966056166056166 [1,0.888889,1,0.769231,0.857143,0.944444,0.8,0.944444,1,0.761905]
precision
0.7874564218031709 [1,0.666667,1,0.72,0.764706,0.772727,0.529412,0.894737,1,0.526316]
precision
0.8352581822202565 [1,0.75,0.947368,0.9375,0.764706,0.791667,0.625,0.904762,1,0.631579]
precision
0.8553886775568698 [1,0.789474,0.944444,0.909091,0.761905,0.947368,0.695652,0.791667,1,0.714286]
precision
0.8456723971052952 [1,0.789474,0.952381,0.9,0.764706,0.857143,0.7,0.85,0.947368,0.695652]
precision
0.8439155413916485 [1,0.842105,0.952381,0.869565,0.777778,1,0.588235,0.863636,1,0.545455]
precision
0.7997073934837092 [1,0.714286,0.904762,0.9375,0.789474,0.95,0.48,0.8,0.947368,0.473684]
predictive_accuracy
0.845
predictive_accuracy
0.815
predictive_accuracy
0.85
predictive_accuracy
0.89
predictive_accuracy
0.785
predictive_accuracy
0.83
predictive_accuracy
0.855
predictive_accuracy
0.845
predictive_accuracy
0.845
predictive_accuracy
0.79
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
0.845 [1,0.95,0.95,0.8,0.85,0.95,0.75,0.8,1,0.4]
recall
0.815 [1,0.75,0.9,0.8,0.8,0.9,0.35,0.85,0.95,0.85]
recall
0.85 [1,0.85,0.95,0.85,0.95,0.9,0.7,0.9,1,0.4]
recall
0.89 [1,0.8,0.95,1,0.9,0.85,0.8,0.85,0.95,0.8]
recall
0.785 [1,0.8,0.85,0.9,0.65,0.85,0.45,0.85,1,0.5]
recall
0.83 [1,0.75,0.9,0.75,0.65,0.95,0.75,0.95,1,0.6]
recall
0.855 [1,0.75,0.85,1,0.8,0.9,0.8,0.95,1,0.5]
recall
0.845 [1,0.75,1,0.9,0.65,0.9,0.7,0.85,0.9,0.8]
recall
0.845 [1,0.8,1,1,0.7,0.9,0.5,0.95,1,0.6]
recall
0.79 [1,0.75,0.95,0.75,0.75,0.95,0.6,0.8,0.9,0.45]
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.1222222222222224
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.23333333333333364
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
0.17606816861659014
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.14832396974191328
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.20493901531919198
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.49441323247304453
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6831300510639737
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
538.0842000085977
usercpu_time_millis
567.1672329990542
usercpu_time_millis
544.7182869975222
usercpu_time_millis
569.0630590033834
usercpu_time_millis
497.2099009974045
usercpu_time_millis
575.8699970028829
usercpu_time_millis
570.3923519977252
usercpu_time_millis
521.3560349948239
usercpu_time_millis
554.1504249995342
usercpu_time_millis
550.3669019963127
usercpu_time_millis_testing
33.19910900609102
usercpu_time_millis_testing
32.89615399989998
usercpu_time_millis_testing
34.30099599790992
usercpu_time_millis_testing
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usercpu_time_millis_testing
33.05179699964356
usercpu_time_millis_testing
33.42741400410887
usercpu_time_millis_testing
33.45237400208134
usercpu_time_millis_testing
33.4160790007445
usercpu_time_millis_testing
33.997887003351934
usercpu_time_millis_testing
33.77304099558387
usercpu_time_millis_training
504.88509100250667
usercpu_time_millis_training
534.2710789991543
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
614.1517162322998
wall_clock_time_millis
623.2216358184814
wall_clock_time_millis
796.8101501464844
wall_clock_time_millis
609.1067790985107
wall_clock_time_millis
515.1240825653076
wall_clock_time_millis
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wall_clock_time_millis
766.4477825164795
wall_clock_time_millis
537.4114513397217
wall_clock_time_millis
570.2371597290039
wall_clock_time_millis
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wall_clock_time_millis_testing
33.21194648742676
wall_clock_time_millis_testing
48.90918731689453
wall_clock_time_millis_testing
34.31534767150879
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_testing
33.788442611694336
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
480.1912307739258
wall_clock_time_millis_training
578.5129070281982
wall_clock_time_millis_training
732.9800128936768
wall_clock_time_millis_training
503.9808750152588
wall_clock_time_millis_training
536.2234115600586
wall_clock_time_millis_training
556.6742420196533