10330549
8323
Heinrich Peters
14970
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8186135
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
0.40314521746072823
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.2614617204682821
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.00010783726568112908
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
50037
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.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
21582797
description
https://api.openml.org/data/download/21582797/description.xml
-1
21582798
predictions
https://api.openml.org/data/download/21582798/predictions.arff
area_under_roc_curve
0.9410162361608587 [0.971816,0.966558,0.927769,0.84722,0.939688,0.99007]
average_cost
0
f_measure
0.9012705804650767 [0.95216,0.912963,0.909433,0.79873,0.852248,0.982798]
kappa
0.8825165201681793
kb_relative_information_score
0.8915229645263659
mean_absolute_error
0.03252742984755786
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9088947131537358 [0.950782,0.872052,0.964143,0.916242,0.779713,0.981035]
predictive_accuracy
0.9024177104573259
prior_entropy
2.575922879508845
recall
0.902417710457326 [0.953542,0.957902,0.860597,0.707935,0.939664,0.984568]
relative_absolute_error
0.11738746027931418
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.1803536244369873
root_relative_squared_error
0.4845361261962672
total_cost
0
area_under_roc_curve
0.9471765294526081 [0.972089,0.974525,0.936477,0.852047,0.951048,0.994432]
area_under_roc_curve
0.9470696222115883 [0.970923,0.98212,0.945305,0.856491,0.945217,0.984123]
area_under_roc_curve
0.9401740540431646 [0.987193,0.949862,0.91862,0.858588,0.930106,0.991072]
area_under_roc_curve
0.9418566739815638 [0.970347,0.972442,0.949964,0.826179,0.941197,0.993051]
area_under_roc_curve
0.9314301211436936 [0.973934,0.966072,0.896038,0.832133,0.923465,0.990659]
area_under_roc_curve
0.9396664754847116 [0.958927,0.974456,0.919908,0.833558,0.951472,0.99503]
area_under_roc_curve
0.9494120713210772 [0.973241,0.975775,0.949792,0.87498,0.941635,0.982819]
area_under_roc_curve
0.9366348840629721 [0.965103,0.968355,0.917315,0.837013,0.934383,0.993075]
area_under_roc_curve
0.9412190125235066 [0.975565,0.964323,0.926266,0.837705,0.948302,0.990511]
area_under_roc_curve
0.935528005975461 [0.9709,0.937584,0.918054,0.863492,0.930072,0.98598]
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
0.911300748517633 [0.964497,0.920732,0.91791,0.811502,0.869359,0.984694]
f_measure
0.9117494367979452 [0.958824,0.932927,0.93633,0.81388,0.861905,0.974227]
f_measure
0.9000786055425686 [0.960452,0.899371,0.897338,0.806154,0.847458,0.98708]
f_measure
0.9023328477930491 [0.967164,0.923077,0.927536,0.77377,0.84186,0.987147]
f_measure
0.8844618633860648 [0.951289,0.892216,0.878431,0.767296,0.836983,0.977099]
f_measure
0.8979821895986642 [0.943953,0.920245,0.885609,0.789474,0.857809,0.987212]
f_measure
0.9162800041207936 [0.948276,0.940063,0.944238,0.834356,0.861985,0.976744]
f_measure
0.8938042256412694 [0.94186,0.90303,0.904215,0.782051,0.843602,0.987212]
f_measure
0.9012888144388298 [0.948571,0.921136,0.906367,0.793443,0.853828,0.984615]
f_measure
0.8926830704051937 [0.9375,0.876972,0.893939,0.812308,0.847458,0.981912]
kappa
0.8948074363312647
kappa
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kappa
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kappa
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kappa
0.8632343027571038
kappa
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kappa
0.8994921277532439
kappa
0.873742418189082
kappa
0.8830734650554266
kappa
0.8712844603192472
kb_relative_information_score
0.902875033193583
kb_relative_information_score
0.9034185161176188
kb_relative_information_score
0.8895687251091574
kb_relative_information_score
0.8937752935298547
kb_relative_information_score
0.8733620068187331
kb_relative_information_score
0.8885963500756566
kb_relative_information_score
0.9076998821020762
kb_relative_information_score
0.8833099087959415
kb_relative_information_score
0.8918184395293687
kb_relative_information_score
0.8807951273873094
mean_absolute_error
0.029126213592232972
mean_absolute_error
0.029126213592232972
mean_absolute_error
0.033009708737864046
mean_absolute_error
0.03203883495145627
mean_absolute_error
0.037864077669902914
mean_absolute_error
0.0333333333333333
mean_absolute_error
0.027831715210355955
mean_absolute_error
0.03495145631067959
mean_absolute_error
0.03236245954692553
mean_absolute_error
0.03563330093942337
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.27709199511972005
mean_prior_absolute_error
0.2771076974290587
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27710210740693414
mean_prior_absolute_error
0.27709513558158777
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.27708065643484137
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
1030 [172,155,140,178,191,194]
number_of_instances
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number_of_instances
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number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
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number_of_instances
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number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1029 [172,154,140,177,191,195]
precision
0.9196449133751009 [0.981928,0.872832,0.960938,0.940741,0.795652,0.974747]
precision
0.9193363717800921 [0.970238,0.884393,0.984252,0.928058,0.790393,0.974227]
precision
0.9049790578152376 [0.934066,0.877301,0.95935,0.891156,0.788288,0.989637]
precision
0.9136808331077866 [0.993865,0.882353,0.948148,0.929134,0.754167,0.984615]
precision
0.8925611809625218 [0.943182,0.827778,0.982456,0.871429,0.778281,0.964824]
precision
0.9097709063534534 [0.963855,0.872093,0.923077,0.952381,0.769874,0.979695]
precision
0.9214576009977176 [0.9375,0.91411,0.992188,0.918919,0.798206,0.984375]
precision
0.9030809231606735 [0.94186,0.846591,0.983333,0.903704,0.770563,0.984694]
precision
0.9121374295406469 [0.932584,0.895706,0.960317,0.945312,0.766667,0.984615]
precision
0.8975843580373573 [0.916667,0.852761,0.951613,0.891892,0.788288,0.989583]
predictive_accuracy
0.912621359223301
predictive_accuracy
0.912621359223301
predictive_accuracy
0.9009708737864078
predictive_accuracy
0.903883495145631
predictive_accuracy
0.8864077669902913
predictive_accuracy
0.9
predictive_accuracy
0.916504854368932
predictive_accuracy
0.8951456310679612
predictive_accuracy
0.9029126213592232
predictive_accuracy
0.8931000971817298
prior_entropy
2.5758425283766972
prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
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prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
recall
0.912621359223301 [0.947674,0.974194,0.878571,0.713483,0.958115,0.994845]
recall
0.912621359223301 [0.947674,0.987097,0.892857,0.724719,0.947644,0.974227]
recall
0.9009708737864077 [0.988372,0.922581,0.842857,0.735955,0.91623,0.984536]
recall
0.903883495145631 [0.94186,0.967742,0.907801,0.662921,0.952632,0.989691]
recall
0.8864077669902912 [0.959538,0.967532,0.794326,0.685393,0.905263,0.989691]
recall
0.9 [0.924855,0.974026,0.851064,0.674157,0.968421,0.994845]
recall
0.916504854368932 [0.959302,0.967532,0.900709,0.764045,0.936842,0.969231]
recall
0.8951456310679612 [0.94186,0.967532,0.836879,0.689266,0.931937,0.989744]
recall
0.9029126213592233 [0.965116,0.948052,0.858156,0.683616,0.963351,0.984615]
recall
0.8931000971817298 [0.959302,0.902597,0.842857,0.745763,0.91623,0.974359]
relative_absolute_error
0.10511387591564576
relative_absolute_error
0.10511387591564576
relative_absolute_error
0.11912905937106523
relative_absolute_error
0.11561871160095943
relative_absolute_error
0.13664305199345955
relative_absolute_error
0.12029260132757537
relative_absolute_error
0.10044100973458336
relative_absolute_error
0.12613706568060717
relative_absolute_error
0.11679357933389545
relative_absolute_error
0.12860262927738134
root_mean_prior_squared_error
0.37221566682901186
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0.37221566682901186
root_mean_prior_squared_error
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root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3722292504897755
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root_mean_prior_squared_error
0.3722198854102689
root_mean_prior_squared_error
0.37221444343150406
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root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
0.1869530858549267
root_mean_squared_error
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root_mean_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
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total_cost
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