10327406
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)
8183073
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
124.42161828703304
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.05946723885505236
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
32588
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
21576498
description
https://api.openml.org/data/download/21576498/description.xml
-1
21576499
predictions
https://api.openml.org/data/download/21576499/predictions.arff
area_under_roc_curve
0.9741666666666666 [0.9625,0.986111,0.9775,0.961111,0.9825,0.978056,0.977222,0.972222,0.980556,0.963889]
average_cost
0
f_measure
0.9550476693582236 [0.961039,0.975,0.976982,0.948718,0.982188,0.943765,0.97449,0.969231,0.865217,0.953846]
kappa
0.9483333333333334
kb_relative_information_score
0.9513722766889304
mean_absolute_error
0.009299999999999984
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9605989679180469 [1,0.975,1,0.973684,1,0.923445,0.994792,0.994737,0.765385,0.978947]
predictive_accuracy
0.9534999999999999
prior_entropy
3.3219280948872383
recall
0.9535 [0.925,0.975,0.955,0.925,0.965,0.965,0.955,0.945,0.995,0.93]
relative_absolute_error
0.05166666666666498
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.09643650760992946
root_relative_squared_error
0.3214550253664266
total_cost
0
area_under_roc_curve
0.9694444444444446 [0.9,0.994444,1,0.925,1,0.966667,0.975,0.975,0.961111,0.997222]
area_under_roc_curve
0.9722222222222223 [0.975,0.95,0.975,1,0.95,0.966667,0.972222,0.975,0.986111,0.972222]
area_under_roc_curve
0.9666666666666666 [0.925,0.975,0.975,0.922222,1,0.991667,1,0.925,0.977778,0.975]
area_under_roc_curve
0.975 [0.975,0.975,1,0.972222,0.975,0.972222,0.975,0.975,0.980556,0.95]
area_under_roc_curve
0.9638888888888889 [0.975,0.997222,0.95,0.944444,0.975,0.975,0.95,0.922222,0.977778,0.972222]
area_under_roc_curve
0.9833333333333333 [1,0.997222,1,0.975,0.975,0.969444,0.975,1,0.991667,0.95]
area_under_roc_curve
0.9861111111111112 [0.975,1,0.95,1,1,1,1,1,0.986111,0.95]
area_under_roc_curve
0.9833333333333333 [0.975,1,0.95,0.95,1,0.994444,1,1,0.988889,0.975]
area_under_roc_curve
0.9805555555555554 [0.975,0.972222,1,0.972222,1,0.972222,0.975,1,0.988889,0.95]
area_under_roc_curve
0.9611111111111111 [0.95,1,0.975,0.95,0.95,0.972222,0.95,0.95,0.966667,0.947222]
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
0.9452914733402537 [0.888889,0.952381,1,0.918919,1,0.904762,0.974359,0.974359,0.863636,0.97561]
f_measure
0.9511464558832979 [0.974359,0.947368,0.974359,1,0.947368,0.904762,0.95,0.974359,0.888889,0.95]
f_measure
0.9419217494492892 [0.918919,0.974359,0.974359,0.894737,1,0.930233,1,0.918919,0.833333,0.974359]
f_measure
0.9570227122634738 [0.974359,0.974359,1,0.95,0.974359,0.95,0.974359,0.974359,0.851064,0.947368]
f_measure
0.9371493696718344 [0.974359,0.97561,0.947368,0.9,0.974359,0.974359,0.947368,0.894737,0.833333,0.95]
f_measure
0.9703116926659334 [1,0.97561,1,0.974359,0.974359,0.926829,0.974359,1,0.930233,0.947368]
f_measure
0.9757984705353125 [0.974359,1,0.947368,1,1,1,1,1,0.888889,0.947368]
f_measure
0.9704926652295073 [0.974359,1,0.947368,0.947368,1,0.952381,1,1,0.909091,0.974359]
f_measure
0.965517727886149 [0.974359,0.95,1,0.95,1,0.95,0.974359,1,0.909091,0.947368]
f_measure
0.9353508771929825 [0.947368,1,0.974359,0.947368,0.947368,0.95,0.947368,0.947368,0.769231,0.923077]
kappa
0.9388888888888889
kappa
0.9444444444444444
kappa
0.9333333333333332
kappa
0.95
kappa
0.9277777777777778
kappa
0.9666666666666667
kappa
0.9722222222222222
kappa
0.9666666666666667
kappa
0.961111111111111
kappa
0.9222222222222223
kb_relative_information_score
0.9424833380191637
kb_relative_information_score
0.9477121254719669
kb_relative_information_score
0.9372545505663603
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9320257631135571
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9738560627359836
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9267969756607538
mean_absolute_error
0.011
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.012
mean_absolute_error
0.009
mean_absolute_error
0.013000000000000001
mean_absolute_error
0.006
mean_absolute_error
0.005
mean_absolute_error
0.006
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.014000000000000002
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
0.9516774891774893 [1,0.909091,1,1,1,0.863636,1,1,0.791667,0.952381]
precision
0.9563636363636364 [1,1,1,1,1,0.863636,0.95,1,0.8,0.95]
precision
0.9528295376121463 [1,1,1,0.944444,1,0.869565,1,1,0.714286,1]
precision
0.9640740740740741 [1,1,1,0.95,1,0.95,1,1,0.740741,1]
precision
0.946111111111111 [1,0.952381,1,0.9,1,1,1,0.944444,0.714286,0.95]
precision
0.9726708074534162 [1,0.952381,1,1,1,0.904762,1,1,0.869565,1]
precision
0.98 [1,1,1,1,1,1,1,1,0.8,1]
precision
0.9742424242424242 [1,1,1,1,1,0.909091,1,1,0.833333,1]
precision
0.9683333333333333 [1,0.95,1,0.95,1,0.95,1,1,0.833333,1]
precision
0.9522368421052632 [1,1,1,1,1,0.95,1,1,0.625,0.947368]
predictive_accuracy
0.945
predictive_accuracy
0.95
predictive_accuracy
0.94
predictive_accuracy
0.955
predictive_accuracy
0.935
predictive_accuracy
0.97
predictive_accuracy
0.975
predictive_accuracy
0.97
predictive_accuracy
0.965
predictive_accuracy
0.93
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
0.945 [0.8,1,1,0.85,1,0.95,0.95,0.95,0.95,1]
recall
0.95 [0.95,0.9,0.95,1,0.9,0.95,0.95,0.95,1,0.95]
recall
0.94 [0.85,0.95,0.95,0.85,1,1,1,0.85,1,0.95]
recall
0.955 [0.95,0.95,1,0.95,0.95,0.95,0.95,0.95,1,0.9]
recall
0.935 [0.95,1,0.9,0.9,0.95,0.95,0.9,0.85,1,0.95]
recall
0.97 [1,1,1,0.95,0.95,0.95,0.95,1,1,0.9]
recall
0.975 [0.95,1,0.9,1,1,1,1,1,1,0.9]
recall
0.97 [0.95,1,0.9,0.9,1,1,1,1,1,0.95]
recall
0.965 [0.95,0.95,1,0.95,1,0.95,0.95,1,1,0.9]
recall
0.93 [0.9,1,0.95,0.9,0.9,0.95,0.9,0.9,1,0.9]
relative_absolute_error
0.06111111111111117
relative_absolute_error
0.055555555555555615
relative_absolute_error
0.06666666666666674
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.0722222222222223
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.027777777777777807
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.07777777777777788
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
0.10488088481701516
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.10954451150103323
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.1140175425099138
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.07071067811865475
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.11832159566199232
root_relative_squared_error
0.34960294939005077
root_relative_squared_error
0.3333333333333335
root_relative_squared_error
0.36514837167011094
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.3800584750330463
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.235702260395516
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.394405318873308
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
1047.0710299923667
usercpu_time_millis
1044.6073560015066
usercpu_time_millis
1045.612779998919
usercpu_time_millis
1045.4577519994928
usercpu_time_millis
1046.7089980011224
usercpu_time_millis
1048.0517059913836
usercpu_time_millis
1047.819346000324
usercpu_time_millis
1047.4360009975499
usercpu_time_millis
1055.057218996808
usercpu_time_millis
1048.8092439918546
usercpu_time_millis_testing
52.97490799421212
usercpu_time_millis_testing
52.71317200094927
usercpu_time_millis_testing
53.081584999745246
usercpu_time_millis_testing
52.7248279977357
usercpu_time_millis_testing
52.92191899934551
usercpu_time_millis_testing
52.81443499552552
usercpu_time_millis_testing
53.12125499767717
usercpu_time_millis_testing
55.26525199820753
usercpu_time_millis_testing
53.201261995127425
usercpu_time_millis_testing
53.36688999523176
usercpu_time_millis_training
994.0961219981546
usercpu_time_millis_training
991.8941840005573
usercpu_time_millis_training
992.5311949991737
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
995.2372709958581
usercpu_time_millis_training
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usercpu_time_millis_training
992.1707489993423
usercpu_time_millis_training
1001.8559570016805
usercpu_time_millis_training
995.4423539966228
wall_clock_time_millis
1047.1625328063965
wall_clock_time_millis
1212.7058506011963
wall_clock_time_millis
1077.7335166931152
wall_clock_time_millis
1069.6136951446533
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
1111.9558811187744
wall_clock_time_millis
1147.6705074310303
wall_clock_time_millis
1323.1501579284668
wall_clock_time_millis
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wall_clock_time_millis_testing
52.99019813537598
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
53.09581756591797
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
52.979230880737305
wall_clock_time_millis_testing
52.828311920166016
wall_clock_time_millis_testing
53.14946174621582
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
994.1723346710205
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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