10327481
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)
8183147
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
0.10358044072810794
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.1587816891292324
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
1.4548783448559142
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
55945
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
21576648
description
https://api.openml.org/data/download/21576648/description.xml
-1
21576649
predictions
https://api.openml.org/data/download/21576649/predictions.arff
area_under_roc_curve
0.9655555555555556 [0.970278,0.967222,0.9675,0.974444,0.975,0.936389,0.957222,0.987222,0.946389,0.973889]
average_cost
0
f_measure
0.9403462162002186 [0.825996,0.944724,0.966408,0.950249,0.974359,0.923483,0.953125,0.984848,0.934726,0.945545]
kappa
0.931111111111111
kb_relative_information_score
0.9351630355852403
mean_absolute_error
0.012399999999999972
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9487764233857016 [0.711191,0.949495,1,0.945545,1,0.977654,0.994565,0.994898,0.978142,0.936275]
predictive_accuracy
0.938
prior_entropy
3.3219280948872383
recall
0.938 [0.985,0.94,0.935,0.955,0.95,0.875,0.915,0.975,0.895,0.955]
relative_absolute_error
0.06888888888888661
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.11135528725660031
root_relative_squared_error
0.37118429085532867
total_cost
0
area_under_roc_curve
0.9611111111111111 [0.972222,0.972222,0.95,1,1,0.975,0.925,0.975,0.85,0.991667]
area_under_roc_curve
0.9638888888888889 [0.975,0.894444,1,0.975,0.95,0.947222,0.975,1,0.95,0.972222]
area_under_roc_curve
0.9833333333333334 [0.988889,0.975,0.975,0.972222,1,0.947222,1,0.975,1,1]
area_under_roc_curve
0.9694444444444446 [0.980556,0.95,1,0.969444,0.975,0.897222,0.95,1,1,0.972222]
area_under_roc_curve
0.9583333333333333 [0.980556,0.997222,0.925,0.916667,0.975,0.947222,0.975,0.972222,0.925,0.969444]
area_under_roc_curve
0.9722222222222223 [0.983333,0.972222,0.975,1,0.975,0.95,0.95,1,0.922222,0.994444]
area_under_roc_curve
0.9638888888888889 [0.952778,0.994444,0.975,0.969444,0.95,0.9,0.975,1,0.947222,0.975]
area_under_roc_curve
0.9638888888888889 [0.955556,0.997222,0.925,1,0.975,0.925,0.975,0.975,0.944444,0.966667]
area_under_roc_curve
0.9666666666666666 [0.952778,0.919444,0.975,0.994444,1,0.9,0.975,1,1,0.95]
area_under_roc_curve
0.9527777777777777 [0.961111,1,0.975,0.947222,0.95,0.975,0.872222,0.975,0.925,0.947222]
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
0.9318767258593739 [0.8,0.95,0.947368,1,1,0.974359,0.918919,0.974359,0.823529,0.930233]
f_measure
0.9374963507670274 [0.816327,0.842105,1,0.974359,0.947368,0.923077,0.974359,1,0.947368,0.95]
f_measure
0.9705244755244755 [0.909091,0.974359,0.974359,0.95,1,0.923077,1,0.974359,1,1]
f_measure
0.9461853779409019 [0.851064,0.947368,1,0.926829,0.974359,0.864865,0.947368,1,1,0.95]
f_measure
0.9263135563810188 [0.851064,0.97561,0.918919,0.85,0.974359,0.923077,0.974359,0.95,0.918919,0.926829]
f_measure
0.9510137802700731 [0.869565,0.95,0.974359,1,0.974359,0.947368,0.947368,1,0.894737,0.952381]
f_measure
0.9370132015066872 [0.808511,0.952381,0.974359,0.926829,0.947368,0.888889,0.974359,1,0.923077,0.974359]
f_measure
0.9367373378295965 [0.826087,0.97561,0.918919,1,0.974359,0.918919,0.974359,0.974359,0.9,0.904762]
f_measure
0.9417661721133166 [0.808511,0.871795,0.974359,0.952381,1,0.888889,0.974359,1,1,0.947368]
f_measure
0.9209592183276394 [0.740741,1,0.974359,0.923077,0.947368,0.974359,0.833333,0.974359,0.918919,0.923077]
kappa
0.9222222222222223
kappa
0.9277777777777778
kappa
0.9666666666666667
kappa
0.9388888888888889
kappa
0.9166666666666667
kappa
0.9444444444444444
kappa
0.9277777777777778
kappa
0.9277777777777778
kappa
0.9333333333333332
kappa
0.9055555555555556
kb_relative_information_score
0.9267969756607538
kb_relative_information_score
0.9320257631135571
kb_relative_information_score
0.9686272752831802
kb_relative_information_score
0.9424833380191637
kb_relative_information_score
0.9215681882079505
kb_relative_information_score
0.9477121254719669
kb_relative_information_score
0.9320257631135571
kb_relative_information_score
0.9320257631135571
kb_relative_information_score
0.9372545505663603
kb_relative_information_score
0.9111106133023438
mean_absolute_error
0.014000000000000002
mean_absolute_error
0.013000000000000001
mean_absolute_error
0.006
mean_absolute_error
0.011
mean_absolute_error
0.015000000000000003
mean_absolute_error
0.009999999999999998
mean_absolute_error
0.013000000000000001
mean_absolute_error
0.013000000000000001
mean_absolute_error
0.012
mean_absolute_error
0.017000000000000005
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
0.9486231884057971 [0.666667,0.95,1,1,1,1,1,1,1,0.869565]
precision
0.9475912482355313 [0.689655,0.888889,1,1,1,0.947368,1,1,1,0.95]
precision
0.9730701754385964 [0.833333,1,1,0.95,1,0.947368,1,1,1,1]
precision
0.953667911609088 [0.740741,1,1,0.904762,1,0.941176,1,1,1,0.95]
precision
0.9345252018936229 [0.740741,0.952381,1,0.85,1,0.947368,1,0.95,1,0.904762]
precision
0.9572766122766123 [0.769231,0.95,1,1,1,1,1,1,0.944444,0.909091]
precision
0.9464924938609148 [0.703704,0.909091,1,0.904762,1,1,1,1,0.947368,1]
precision
0.9446786546786548 [0.730769,0.952381,1,1,1,1,1,1,0.9,0.863636]
precision
0.9507531454899876 [0.703704,0.894737,1,0.909091,1,1,1,1,1,1]
precision
0.942047213622291 [0.588235,1,1,0.947368,1,1,0.9375,1,1,0.947368]
predictive_accuracy
0.93
predictive_accuracy
0.935
predictive_accuracy
0.97
predictive_accuracy
0.945
predictive_accuracy
0.925
predictive_accuracy
0.95
predictive_accuracy
0.935
predictive_accuracy
0.935
predictive_accuracy
0.94
predictive_accuracy
0.915
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
0.93 [1,0.95,0.9,1,1,0.95,0.85,0.95,0.7,1]
recall
0.935 [1,0.8,1,0.95,0.9,0.9,0.95,1,0.9,0.95]
recall
0.97 [1,0.95,0.95,0.95,1,0.9,1,0.95,1,1]
recall
0.945 [1,0.9,1,0.95,0.95,0.8,0.9,1,1,0.95]
recall
0.925 [1,1,0.85,0.85,0.95,0.9,0.95,0.95,0.85,0.95]
recall
0.95 [1,0.95,0.95,1,0.95,0.9,0.9,1,0.85,1]
recall
0.935 [0.95,1,0.95,0.95,0.9,0.8,0.95,1,0.9,0.95]
recall
0.935 [0.95,1,0.85,1,0.95,0.85,0.95,0.95,0.9,0.95]
recall
0.94 [0.95,0.85,0.95,1,1,0.8,0.95,1,1,0.9]
recall
0.915 [1,1,0.95,0.9,0.9,0.95,0.75,0.95,0.85,0.9]
relative_absolute_error
0.07777777777777788
relative_absolute_error
0.0722222222222223
relative_absolute_error
0.03333333333333337
relative_absolute_error
0.06111111111111117
relative_absolute_error
0.08333333333333344
relative_absolute_error
0.055555555555555615
relative_absolute_error
0.0722222222222223
relative_absolute_error
0.0722222222222223
relative_absolute_error
0.06666666666666674
relative_absolute_error
0.09444444444444457
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
0.11832159566199232
root_mean_squared_error
0.1140175425099138
root_mean_squared_error
0.07745966692414834
root_mean_squared_error
0.10488088481701516
root_mean_squared_error
0.12247448713915891
root_mean_squared_error
0.09999999999999999
root_mean_squared_error
0.1140175425099138
root_mean_squared_error
0.1140175425099138
root_mean_squared_error
0.10954451150103323
root_mean_squared_error
0.130384048104053
root_relative_squared_error
0.394405318873308
root_relative_squared_error
0.3800584750330463
root_relative_squared_error
0.25819888974716126
root_relative_squared_error
0.34960294939005077
root_relative_squared_error
0.40824829046386335
root_relative_squared_error
0.3333333333333335
root_relative_squared_error
0.3800584750330463
root_relative_squared_error
0.3800584750330463
root_relative_squared_error
0.36514837167011094
root_relative_squared_error
0.4346134936801769
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
816.5776489986456
usercpu_time_millis
777.7558129964746
usercpu_time_millis
778.1252209970262
usercpu_time_millis
780.0772459959262
usercpu_time_millis
785.4514900027425
usercpu_time_millis
768.5914460016647
usercpu_time_millis
774.1938759936602
usercpu_time_millis
771.1160090038902
usercpu_time_millis
782.1319539943943
usercpu_time_millis
782.668874002411
usercpu_time_millis_testing
35.83810800046194
usercpu_time_millis_testing
37.55883599660592
usercpu_time_millis_testing
35.1894529958372
usercpu_time_millis_testing
35.9710949996952
usercpu_time_millis_testing
35.290892999910284
usercpu_time_millis_testing
35.103930000332184
usercpu_time_millis_testing
35.126277995004784
usercpu_time_millis_testing
35.42042600020068
usercpu_time_millis_testing
35.35488799388986
usercpu_time_millis_testing
35.39697599626379
usercpu_time_millis_training
780.7395409981837
usercpu_time_millis_training
740.1969769998686
usercpu_time_millis_training
742.935768001189
usercpu_time_millis_training
744.106150996231
usercpu_time_millis_training
750.1605970028322
usercpu_time_millis_training
733.4875160013326
usercpu_time_millis_training
739.0675979986554
usercpu_time_millis_training
735.6955830036895
usercpu_time_millis_training
746.7770660005044
usercpu_time_millis_training
747.2718980061472
wall_clock_time_millis
816.6635036468506
wall_clock_time_millis
777.8565883636475
wall_clock_time_millis
778.2385349273682
wall_clock_time_millis
780.1516056060791
wall_clock_time_millis
785.524845123291
wall_clock_time_millis
768.6624526977539
wall_clock_time_millis
774.2738723754883
wall_clock_time_millis
771.2733745574951
wall_clock_time_millis
782.2036743164062
wall_clock_time_millis
782.7377319335938
wall_clock_time_millis_testing
35.85195541381836
wall_clock_time_millis_testing
37.57500648498535
wall_clock_time_millis_testing
35.20393371582031
wall_clock_time_millis_testing
35.986900329589844
wall_clock_time_millis_testing
35.30621528625488
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
35.13932228088379
wall_clock_time_millis_testing
35.43424606323242
wall_clock_time_millis_testing
35.36844253540039
wall_clock_time_millis_testing
35.410404205322266
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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wall_clock_time_millis_training
747.3273277282715