10328573
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)
8184218
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
171.03076248915255
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.40705447648192394
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.000843106127549414
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
52990
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
21578832
description
https://api.openml.org/data/download/21578832/description.xml
-1
21578833
predictions
https://api.openml.org/data/download/21578833/predictions.arff
area_under_roc_curve
0.9125 [1,0.884444,0.960556,0.943056,0.893056,0.953611,0.761944,0.963889,0.986389,0.778056]
average_cost
0
f_measure
0.8423672106324616 [1,0.783251,0.943878,0.906329,0.81519,0.921914,0.583979,0.9,0.977444,0.591687]
kappa
0.8250000000000001
kb_relative_information_score
0.8352931952366995
mean_absolute_error
0.03150000000000018
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8430125930468578 [1,0.771845,0.963542,0.917949,0.825641,0.928934,0.604278,0.859091,0.979899,0.578947]
predictive_accuracy
0.8425
prior_entropy
3.3219280948872383
recall
0.8425 [1,0.795,0.925,0.895,0.805,0.915,0.565,0.945,0.975,0.605]
relative_absolute_error
0.17499999999999563
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.177482393492989
root_relative_squared_error
0.5916079783099542
total_cost
0
area_under_roc_curve
0.913888888888889 [1,0.930556,0.972222,0.925,0.963889,0.975,0.766667,0.947222,1,0.658333]
area_under_roc_curve
0.9138888888888889 [1,0.908333,0.925,0.925,0.863889,0.941667,0.763889,0.961111,0.975,0.875]
area_under_roc_curve
0.9111111111111111 [1,0.933333,0.975,0.922222,0.930556,0.944444,0.8,0.922222,0.997222,0.686111]
area_under_roc_curve
0.95 [1,0.916667,0.975,0.991667,0.994444,0.925,0.822222,0.947222,0.975,0.952778]
area_under_roc_curve
0.886111111111111 [1,0.830556,0.925,0.913889,0.863889,0.919444,0.722222,0.961111,1,0.725]
area_under_roc_curve
0.9138888888888889 [1,0.866667,0.947222,0.916667,0.869444,0.991667,0.8,0.994444,1,0.752778]
area_under_roc_curve
0.911111111111111 [1,0.869444,0.95,0.997222,0.869444,0.944444,0.755556,0.983333,0.997222,0.744444]
area_under_roc_curve
0.9361111111111111 [1,0.888889,0.997222,0.944444,0.872222,0.972222,0.861111,0.991667,0.972222,0.861111]
area_under_roc_curve
0.9083333333333333 [1,0.841667,0.997222,0.994444,0.863889,0.95,0.636111,0.991667,1,0.808333]
area_under_roc_curve
0.8805555555555555 [1,0.858333,0.941667,0.9,0.838889,0.972222,0.691667,0.938889,0.947222,0.716667]
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
0.8419772716284345 [1,0.8,0.95,0.918919,0.883721,0.974359,0.545455,0.923077,1,0.424242]
f_measure
0.8453492939652894 [1,0.790698,0.918919,0.918919,0.769231,0.878049,0.628571,0.863636,0.974359,0.711111]
f_measure
0.8361520336744982 [1,0.818182,0.974359,0.894737,0.8,0.9,0.619048,0.894737,0.97561,0.484848]
f_measure
0.9096543821885092 [1,0.85,0.974359,0.930233,0.952381,0.918919,0.764706,0.923077,0.974359,0.808511]
f_measure
0.7948596558352656 [1,0.682927,0.918919,0.829268,0.769231,0.871795,0.5,0.863636,1,0.512821]
f_measure
0.8439125111768929 [1,0.789474,0.923077,0.85,0.810811,0.930233,0.619048,0.952381,1,0.564103]
f_measure
0.8392531664491255 [1,0.810811,0.947368,0.97561,0.810811,0.9,0.578947,0.869565,0.97561,0.52381]
f_measure
0.883917564757043 [1,0.8,0.97561,0.9,0.833333,0.95,0.75,0.930233,0.95,0.75]
f_measure
0.8290104559280325 [1,0.756757,0.97561,0.952381,0.769231,0.947368,0.387097,0.930233,1,0.571429]
f_measure
0.7880921738367179 [1,0.731707,0.878049,0.888889,0.736842,0.95,0.439024,0.857143,0.923077,0.47619]
kappa
0.8277777777777777
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.9
kappa
0.7722222222222223
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.8722222222222222
kappa
0.8166666666666667
kappa
0.7611111111111112
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.9058818258495406
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8797378885855239
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.7751621395294579
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.018000000000000006
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.023000000000000007
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.04300000000000001
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
0.848191691603591 [1,0.72,0.95,1,0.826087,1,0.5,0.947368,1,0.538462]
precision
0.8550746976135993 [1,0.73913,1,1,0.789474,0.857143,0.733333,0.791667,1,0.64]
precision
0.8417563547563547 [1,0.75,1,0.944444,0.72,0.9,0.590909,0.944444,0.952381,0.615385]
precision
0.9208299679809978 [1,0.85,1,0.869565,0.909091,1,0.928571,0.947368,1,0.703704]
precision
0.7978383458646615 [1,0.666667,1,0.809524,0.789474,0.894737,0.5,0.791667,1,0.526316]
precision
0.8461567281374792 [1,0.833333,0.947368,0.85,0.882353,0.869565,0.590909,0.909091,1,0.578947]
precision
0.8449809667456727 [1,0.882353,1,0.952381,0.882353,0.9,0.611111,0.769231,0.952381,0.5]
precision
0.8859446169772256 [1,0.8,0.952381,0.9,0.9375,0.95,0.75,0.869565,0.95,0.75]
precision
0.8372253340982598 [1,0.823529,0.952381,0.909091,0.789474,1,0.545455,0.869565,1,0.482759]
precision
0.7947873471557682 [1,0.714286,0.857143,1,0.777778,0.95,0.428571,0.818182,0.947368,0.454545]
predictive_accuracy
0.845
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.91
predictive_accuracy
0.795
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.885
predictive_accuracy
0.835
predictive_accuracy
0.785
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 [1,0.9,0.95,0.85,0.95,0.95,0.6,0.9,1,0.35]
recall
0.845 [1,0.85,0.85,0.85,0.75,0.9,0.55,0.95,0.95,0.8]
recall
0.84 [1,0.9,0.95,0.85,0.9,0.9,0.65,0.85,1,0.4]
recall
0.91 [1,0.85,0.95,1,1,0.85,0.65,0.9,0.95,0.95]
recall
0.795 [1,0.7,0.85,0.85,0.75,0.85,0.5,0.95,1,0.5]
recall
0.845 [1,0.75,0.9,0.85,0.75,1,0.65,1,1,0.55]
recall
0.84 [1,0.75,0.9,1,0.75,0.9,0.55,1,1,0.55]
recall
0.885 [1,0.8,1,0.9,0.75,0.95,0.75,1,0.95,0.75]
recall
0.835 [1,0.7,1,1,0.75,0.9,0.3,1,1,0.7]
recall
0.785 [1,0.75,0.9,0.8,0.7,0.95,0.45,0.9,0.9,0.5]
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.10000000000000014
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.12777777777777796
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.2388888888888892
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
0.17606816861659014
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.1341640786499874
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.15165750888103102
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.20736441353327723
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.44721359549995826
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.505525029603437
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6912147117775912
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
270.4315530063468
usercpu_time_millis
270.754056997248
usercpu_time_millis
267.8170740036876
usercpu_time_millis
268.03055901109474
usercpu_time_millis
270.0204689972452
usercpu_time_millis
268.2471000007354
usercpu_time_millis
271.1312440078473
usercpu_time_millis
275.0616170014837
usercpu_time_millis
295.36201099836035
usercpu_time_millis
271.49937100330135
usercpu_time_millis_testing
28.419343005225528
usercpu_time_millis_testing
28.841585000918712
usercpu_time_millis_testing
28.165941002953332
usercpu_time_millis_testing
28.39233800477814
usercpu_time_millis_testing
28.256700999918394
usercpu_time_millis_testing
28.327583000645973
usercpu_time_millis_testing
28.190702003485058
usercpu_time_millis_testing
31.657491002988536
usercpu_time_millis_testing
31.16152599977795
usercpu_time_millis_testing
27.864192001288757
usercpu_time_millis_training
242.01221000112128
usercpu_time_millis_training
241.91247199632926
usercpu_time_millis_training
239.65113300073426
usercpu_time_millis_training
239.6382210063166
usercpu_time_millis_training
241.7637679973268
usercpu_time_millis_training
239.9195170000894
usercpu_time_millis_training
242.94054200436221
usercpu_time_millis_training
243.40412599849515
usercpu_time_millis_training
264.2004849985824
usercpu_time_millis_training
243.6351790020126
wall_clock_time_millis
270.46918869018555
wall_clock_time_millis
270.79081535339355
wall_clock_time_millis
267.84563064575195
wall_clock_time_millis
268.16630363464355
wall_clock_time_millis
282.0556163787842
wall_clock_time_millis
268.2838439941406
wall_clock_time_millis
271.1946964263916
wall_clock_time_millis
355.1363945007324
wall_clock_time_millis
295.39990425109863
wall_clock_time_millis
303.5237789154053
wall_clock_time_millis_testing
28.432130813598633
wall_clock_time_millis_testing
28.856754302978516
wall_clock_time_millis_testing
28.17082405090332
wall_clock_time_millis_testing
28.405427932739258
wall_clock_time_millis_testing
28.27143669128418
wall_clock_time_millis_testing
28.341293334960938
wall_clock_time_millis_testing
28.204917907714844
wall_clock_time_millis_testing
47.6682186126709
wall_clock_time_millis_testing
31.175851821899414
wall_clock_time_millis_testing
27.877330780029297
wall_clock_time_millis_training
242.0370578765869
wall_clock_time_millis_training
241.93406105041504
wall_clock_time_millis_training
239.67480659484863
wall_clock_time_millis_training
239.7608757019043
wall_clock_time_millis_training
253.7841796875
wall_clock_time_millis_training
239.9425506591797
wall_clock_time_millis_training
242.98977851867676
wall_clock_time_millis_training
307.4681758880615
wall_clock_time_millis_training
264.2240524291992
wall_clock_time_millis_training
275.646448135376