10328527
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)
8184174
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
4.307035567982047
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.09908308412988551
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
6352
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
21578740
description
https://api.openml.org/data/download/21578740/description.xml
-1
21578741
predictions
https://api.openml.org/data/download/21578741/predictions.arff
area_under_roc_curve
0.8258333333333333 [0.92,0.808889,0.889167,0.848333,0.870556,0.900833,0.656667,0.813056,0.899722,0.651111]
average_cost
0
f_measure
0.6979165069465424 [0.913043,0.739645,0.869081,0.775956,0.697368,0.541953,0.410405,0.740525,0.886427,0.404762]
kappa
0.6516666666666667
kb_relative_information_score
0.6721550267092428
mean_absolute_error
0.06270000000000062
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7605460733264371 [1,0.905797,0.981132,0.855422,0.621094,0.373814,0.486301,0.888112,0.993789,0.5]
predictive_accuracy
0.6865000000000001
prior_entropy
3.3219280948872383
recall
0.6865 [0.84,0.625,0.78,0.71,0.795,0.985,0.355,0.635,0.8,0.34]
relative_absolute_error
0.34833333333332606
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2503996805109795
root_relative_squared_error
0.8346656017032522
total_cost
0
area_under_roc_curve
0.825 [0.9,0.913889,0.85,0.872222,0.938889,0.855556,0.638889,0.8,0.8,0.680556]
area_under_roc_curve
0.85 [0.95,0.719444,0.9,0.936111,0.927778,0.938889,0.677778,0.797222,0.95,0.702778]
area_under_roc_curve
0.811111111111111 [0.9,0.847222,0.85,0.741667,0.825,0.869444,0.697222,0.797222,0.95,0.633333]
area_under_roc_curve
0.8277777777777778 [0.9,0.747222,0.875,0.844444,0.877778,0.897222,0.8,0.769444,0.925,0.641667]
area_under_roc_curve
0.7916666666666665 [0.925,0.772222,0.85,0.866667,0.802778,0.886111,0.572222,0.841667,0.825,0.575]
area_under_roc_curve
0.8416666666666667 [0.95,0.85,0.975,0.722222,0.888889,0.919444,0.608333,0.872222,0.975,0.655556]
area_under_roc_curve
0.8194444444444445 [0.875,0.794444,0.925,0.913889,0.805556,0.891667,0.658333,0.791667,0.922222,0.616667]
area_under_roc_curve
0.8444444444444443 [0.925,0.85,0.897222,0.822222,0.888889,0.938889,0.75,0.869444,0.8,0.702778]
area_under_roc_curve
0.85 [0.925,0.747222,0.95,0.963889,0.936111,0.913889,0.563889,0.797222,0.975,0.727778]
area_under_roc_curve
0.7972222222222223 [0.95,0.847222,0.819444,0.8,0.813889,0.897222,0.6,0.794444,0.875,0.575]
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
0.705272027510191 [0.888889,0.829268,0.823529,0.833333,0.857143,0.463415,0.4,0.75,0.75,0.457143]
f_measure
0.728745383878847 [0.947368,0.580645,0.888889,0.837209,0.782609,0.645161,0.444444,0.727273,0.947368,0.486486]
f_measure
0.6774327800782188 [0.888889,0.8,0.823529,0.606061,0.651163,0.493506,0.461538,0.727273,0.947368,0.375]
f_measure
0.7034150368966833 [0.888889,0.645161,0.857143,0.777778,0.727273,0.519481,0.619048,0.666667,0.918919,0.413793]
f_measure
0.6369749421558238 [0.918919,0.6875,0.823529,0.789474,0.634146,0.493827,0.235294,0.756757,0.787879,0.242424]
f_measure
0.7147004610839798 [0.947368,0.823529,0.974359,0.6,0.68,0.57971,0.322581,0.833333,0.974359,0.411765]
f_measure
0.6829377944814758 [0.857143,0.705882,0.918919,0.829268,0.65,0.506329,0.424242,0.685714,0.894737,0.357143]
f_measure
0.729447766552131 [0.918919,0.823529,0.864865,0.764706,0.68,0.645161,0.55,0.810811,0.75,0.486486]
f_measure
0.7185271225601899 [0.918919,0.645161,0.947368,0.883721,0.716981,0.622951,0.222222,0.727273,0.974359,0.526316]
f_measure
0.6455017863808458 [0.947368,0.8,0.742857,0.75,0.595745,0.519481,0.294118,0.705882,0.857143,0.242424]
kappa
0.65
kappa
0.7
kappa
0.6222222222222222
kappa
0.6555555555555556
kappa
0.5833333333333334
kappa
0.6833333333333333
kappa
0.638888888888889
kappa
0.6888888888888889
kappa
0.7
kappa
0.5944444444444444
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.7176454775486207
kb_relative_information_score
0.6444424532093733
kb_relative_information_score
0.6758151779261936
kb_relative_information_score
0.6078409410397496
kb_relative_information_score
0.7019591151902105
kb_relative_information_score
0.6601288155677836
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.7176454775486207
kb_relative_information_score
0.6182985159453563
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.053999999999999965
mean_absolute_error
0.06799999999999992
mean_absolute_error
0.06199999999999994
mean_absolute_error
0.0749999999999999
mean_absolute_error
0.05699999999999996
mean_absolute_error
0.06499999999999993
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.053999999999999965
mean_absolute_error
0.0729999999999999
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
0.8004990573942186 [1,0.809524,1,0.9375,0.818182,0.306452,0.6,1,1,0.533333]
precision
0.7721777370114965 [1,0.818182,1,0.782609,0.692308,0.47619,0.5,0.923077,1,0.529412]
precision
0.754135422167459 [1,0.933333,1,0.769231,0.608696,0.333333,0.473684,0.923077,1,0.5]
precision
0.7905364372469635 [1,0.909091,1,0.875,0.666667,0.350877,0.590909,0.846154,1,0.666667]
precision
0.7113852476677935 [1,0.916667,1,0.833333,0.619048,0.327869,0.285714,0.823529,1,0.307692]
precision
0.7766875386518244 [1,1,1,0.9,0.566667,0.408163,0.454545,0.9375,1,0.5]
precision
0.7563555700420107 [1,0.857143,1,0.809524,0.65,0.338983,0.538462,0.8,0.944444,0.625]
precision
0.7874369747899159 [1,1,0.941176,0.928571,0.566667,0.47619,0.55,0.882353,1,0.529412]
precision
0.7681553982720473 [1,0.909091,1,0.826087,0.575758,0.463415,0.428571,0.923077,1,0.555556]
precision
0.7191373733478996 [1,0.933333,0.866667,1,0.518519,0.350877,0.357143,0.857143,1,0.307692]
predictive_accuracy
0.685
predictive_accuracy
0.73
predictive_accuracy
0.66
predictive_accuracy
0.69
predictive_accuracy
0.625
predictive_accuracy
0.715
predictive_accuracy
0.675
predictive_accuracy
0.72
predictive_accuracy
0.73
predictive_accuracy
0.635
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
0.685 [0.8,0.85,0.7,0.75,0.9,0.95,0.3,0.6,0.6,0.4]
recall
0.73 [0.9,0.45,0.8,0.9,0.9,1,0.4,0.6,0.9,0.45]
recall
0.66 [0.8,0.7,0.7,0.5,0.7,0.95,0.45,0.6,0.9,0.3]
recall
0.69 [0.8,0.5,0.75,0.7,0.8,1,0.65,0.55,0.85,0.3]
recall
0.625 [0.85,0.55,0.7,0.75,0.65,1,0.2,0.7,0.65,0.2]
recall
0.715 [0.9,0.7,0.95,0.45,0.85,1,0.25,0.75,0.95,0.35]
recall
0.675 [0.75,0.6,0.85,0.85,0.65,1,0.35,0.6,0.85,0.25]
recall
0.72 [0.85,0.7,0.8,0.65,0.85,1,0.55,0.75,0.6,0.45]
recall
0.73 [0.85,0.5,0.9,0.95,0.95,0.95,0.15,0.6,0.95,0.5]
recall
0.635 [0.9,0.7,0.65,0.6,0.7,1,0.25,0.6,0.75,0.2]
relative_absolute_error
0.35
relative_absolute_error
0.30000000000000016
relative_absolute_error
0.3777777777777777
relative_absolute_error
0.3444444444444445
relative_absolute_error
0.4166666666666666
relative_absolute_error
0.31666666666666676
relative_absolute_error
0.36111111111111116
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.30000000000000016
relative_absolute_error
0.40555555555555545
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
0.25099800796022254
root_mean_squared_error
0.23237900077244494
root_mean_squared_error
0.2607680962081058
root_mean_squared_error
0.2489979919597745
root_mean_squared_error
0.27386127875258287
root_mean_squared_error
0.23874672772626634
root_mean_squared_error
0.2549509756796391
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.23237900077244494
root_mean_squared_error
0.2701851217221257
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.7745966692414835
root_relative_squared_error
0.8692269873603533
root_relative_squared_error
0.8299933065325821
root_relative_squared_error
0.9128709291752767
root_relative_squared_error
0.7958224257542216
root_relative_squared_error
0.8498365855987976
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7745966692414835
root_relative_squared_error
0.9006170724070863
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
1203.4126150028897
usercpu_time_millis
1195.5203830002574
usercpu_time_millis
1197.1277019983972
usercpu_time_millis
1206.2729820027016
usercpu_time_millis
1201.170339998498
usercpu_time_millis
1190.0845689960988
usercpu_time_millis
1177.3158139985753
usercpu_time_millis
1195.3210909996415
usercpu_time_millis
1195.6929359948845
usercpu_time_millis
1199.3678159997216
usercpu_time_millis_testing
62.760706001427025
usercpu_time_millis_testing
63.325383998744655
usercpu_time_millis_testing
63.542987998516764
usercpu_time_millis_testing
62.90869299846236
usercpu_time_millis_testing
63.2252459981828
usercpu_time_millis_testing
62.433289996988606
usercpu_time_millis_testing
62.795154997729696
usercpu_time_millis_testing
62.08801300090272
usercpu_time_millis_testing
63.69443999574287
usercpu_time_millis_testing
63.51279000227805
usercpu_time_millis_training
1140.6519090014626
usercpu_time_millis_training
1132.1949990015128
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
1114.5206590008456
usercpu_time_millis_training
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usercpu_time_millis_training
1131.9984959991416
usercpu_time_millis_training
1135.8550259974436
wall_clock_time_millis
1235.511302947998
wall_clock_time_millis
1195.6312656402588
wall_clock_time_millis
1197.2737312316895
wall_clock_time_millis
1206.3872814178467
wall_clock_time_millis
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wall_clock_time_millis
1190.2415752410889
wall_clock_time_millis
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wall_clock_time_millis
1195.4529285430908
wall_clock_time_millis
1195.7931518554688
wall_clock_time_millis
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wall_clock_time_millis_testing
62.776803970336914
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
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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
1132.2803497314453
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
1114.6035194396973
wall_clock_time_millis_training
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wall_clock_time_millis_training
1132.0834159851074
wall_clock_time_millis_training
1135.9467506408691