10327518
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)
8183183
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
0.12516163437864822
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.9770303548419323
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.007398869211490563
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
59682
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
21576722
description
https://api.openml.org/data/download/21576722/description.xml
-1
21576723
predictions
https://api.openml.org/data/download/21576723/predictions.arff
area_under_roc_curve
0.9302184334099814 [0.909231,0.906052,0.929804,0.921185,0.942842,0.964183]
average_cost
0
f_measure
0.8872891453278865 [0.897363,0.880919,0.743441,0.888371,0.914119,0.96017]
kappa
0.8573369452292444
kb_relative_information_score
0.8686353854652815
mean_absolute_error
0.03964786225199802
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9092232761698569 [0.990877,0.95256,0.607675,0.921403,0.926685,0.992316]
predictive_accuracy
0.8810564132440042
prior_entropy
2.575922879508845
recall
0.8810564132440043 [0.819977,0.819301,0.957326,0.857625,0.901889,0.930041]
relative_absolute_error
0.14308421775339158
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.19911770953885047
root_relative_squared_error
0.5349475173466037
total_cost
0
area_under_roc_curve
0.9369573394771288 [0.92965,0.895429,0.925361,0.937365,0.953348,0.968474]
area_under_roc_curve
0.9156977986035814 [0.909884,0.905106,0.916573,0.8889,0.921806,0.947257]
area_under_roc_curve
0.9203419768151416 [0.894766,0.885751,0.915249,0.931035,0.935257,0.949835]
area_under_roc_curve
0.9376030936273811 [0.927326,0.923521,0.949992,0.903657,0.946241,0.971649]
area_under_roc_curve
0.9260166395325041 [0.903457,0.909306,0.912795,0.912084,0.953383,0.954989]
area_under_roc_curve
0.9313269825776845 [0.869359,0.909484,0.931822,0.933507,0.951347,0.981959]
area_under_roc_curve
0.9378830671213795 [0.934881,0.91826,0.947913,0.925542,0.946084,0.95205]
area_under_roc_curve
0.9304054634174761 [0.915115,0.898602,0.932604,0.930127,0.926808,0.971196]
area_under_roc_curve
0.9282322374482346 [0.893601,0.912731,0.930526,0.910565,0.953816,0.960341]
area_under_roc_curve
0.9377361082515638 [0.914531,0.902416,0.935067,0.939176,0.940484,0.984016]
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
0.8981554041808154 [0.922118,0.864111,0.745763,0.910663,0.935829,0.965517]
f_measure
0.8650051947528418 [0.900958,0.875862,0.70557,0.84273,0.884718,0.940541]
f_measure
0.872022139639858 [0.880259,0.852113,0.709677,0.892045,0.908602,0.943396]
f_measure
0.8981446741408644 [0.92163,0.907216,0.790831,0.871642,0.899743,0.970822]
f_measure
0.8808399382952118 [0.888889,0.87372,0.71978,0.881657,0.928382,0.949062]
f_measure
0.8891838476531334 [0.847682,0.888112,0.73262,0.912281,0.928,0.981627]
f_measure
0.8997320156350351 [0.925926,0.908451,0.772222,0.895349,0.922252,0.944]
f_measure
0.8869688428378535 [0.905063,0.870175,0.75419,0.888889,0.897297,0.968421]
f_measure
0.8842307442548336 [0.874598,0.891986,0.737127,0.885542,0.921875,0.954907]
f_measure
0.8980428264059331 [0.902208,0.877193,0.773256,0.90085,0.914439,0.981818]
kappa
0.8707134901025088
kappa
0.8278165892006981
kappa
0.83705846459807
kappa
0.8729905537643532
kappa
0.8486576418848735
kappa
0.8591404436347032
kappa
0.873060776379151
kappa
0.8578987423936926
kappa
0.8532853102171215
kappa
0.8728350634685242
kb_relative_information_score
0.8803707159479046
kb_relative_information_score
0.8420038389996632
kb_relative_information_score
0.8497719806610797
kb_relative_information_score
0.8834397618712253
kb_relative_information_score
0.8604131479875172
kb_relative_information_score
0.8699873681210403
kb_relative_information_score
0.883802399914618
kb_relative_information_score
0.8691598805778226
kb_relative_information_score
0.8650063226637359
kb_relative_information_score
0.88241100320985
mean_absolute_error
0.03592233009708737
mean_absolute_error
0.04789644012944991
mean_absolute_error
0.045307443365695844
mean_absolute_error
0.03527508090614885
mean_absolute_error
0.042071197411003264
mean_absolute_error
0.03915857605177994
mean_absolute_error
0.03527508090614885
mean_absolute_error
0.0394822006472492
mean_absolute_error
0.040776699029126236
mean_absolute_error
0.03530936183997407
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
1030 [172,155,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [173,154,141,178,190,194]
number_of_instances
1030 [172,154,141,178,190,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1030 [172,154,141,177,191,195]
number_of_instances
1029 [172,154,140,177,191,195]
precision
0.9172924305774052 [0.993289,0.939394,0.616822,0.934911,0.956284,0.994536]
precision
0.8934986061384576 [1,0.940741,0.561181,0.893082,0.906593,0.988636]
precision
0.8995547732445314 [0.992701,0.937984,0.568966,0.902299,0.933702,0.988701]
precision
0.9151488766502192 [1,0.970588,0.663462,0.929936,0.879397,1]
precision
0.9035032186409583 [0.985915,0.920863,0.587444,0.93125,0.935829,0.988827]
precision
0.9172339190950727 [0.992248,0.962121,0.587983,0.95122,0.940541,1]
precision
0.9199098470861542 [0.986842,0.992308,0.634703,0.927711,0.939891,0.983333]
precision
0.9068539171550056 [0.993056,0.946565,0.62212,0.896552,0.927374,0.994595]
precision
0.909214583837709 [0.978417,0.962406,0.596491,0.948387,0.917098,0.989011]
precision
0.9137037551349031 [0.986207,0.954198,0.651961,0.903409,0.934426,0.994737]
predictive_accuracy
0.8922330097087378
predictive_accuracy
0.8563106796116504
predictive_accuracy
0.8640776699029127
predictive_accuracy
0.8941747572815534
predictive_accuracy
0.8737864077669903
predictive_accuracy
0.8825242718446602
predictive_accuracy
0.8941747572815534
predictive_accuracy
0.8815533980582525
predictive_accuracy
0.8776699029126214
predictive_accuracy
0.8940719144800778
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.5758425283766972
prior_entropy
2.57626843373114
prior_entropy
2.5761156998831467
prior_entropy
2.5761156998831467
prior_entropy
2.575945945073779
prior_entropy
2.575847838744184
prior_entropy
2.575847838744184
prior_entropy
2.5755594010061413
recall
0.8922330097087379 [0.860465,0.8,0.942857,0.88764,0.91623,0.938144]
recall
0.8563106796116505 [0.819767,0.819355,0.95,0.797753,0.863874,0.896907]
recall
0.8640776699029126 [0.790698,0.780645,0.942857,0.882022,0.884817,0.902062]
recall
0.8941747572815534 [0.854651,0.851613,0.978723,0.820225,0.921053,0.943299]
recall
0.8737864077669902 [0.809249,0.831169,0.929078,0.837079,0.921053,0.912371]
recall
0.8825242718446602 [0.739884,0.824675,0.971631,0.876404,0.915789,0.963918]
recall
0.8941747572815534 [0.872093,0.837662,0.985816,0.865169,0.905263,0.907692]
recall
0.8815533980582524 [0.831395,0.805195,0.957447,0.881356,0.86911,0.94359]
recall
0.8776699029126214 [0.790698,0.831169,0.964539,0.830508,0.926702,0.923077]
recall
0.8940719144800777 [0.831395,0.811688,0.95,0.898305,0.895288,0.969231]
relative_absolute_error
0.12964044696262988
relative_absolute_error
0.17285392928350682
relative_absolute_error
0.16351047364656043
relative_absolute_error
0.1272973693384302
relative_absolute_error
0.15182561332606626
relative_absolute_error
0.1413146093265693
relative_absolute_error
0.12730314024499528
relative_absolute_error
0.14248816678735265
relative_absolute_error
0.14715990996070855
relative_absolute_error
0.12743351446576878
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.37221566682901186
root_mean_prior_squared_error
0.3722367592572026
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722292504897755
root_mean_prior_squared_error
0.3722198854102689
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.37221444343150406
root_mean_prior_squared_error
0.3722004351798735
root_mean_squared_error
0.18953187092699572
root_mean_squared_error
0.21885255339942897
root_mean_squared_error
0.2128554518110726
root_mean_squared_error
0.18781661509607941
root_mean_squared_error
0.20511264566331172
root_mean_squared_error
0.1978852598143175
root_mean_squared_error
0.18781661509607941
root_mean_squared_error
0.19870128496627595
root_mean_squared_error
0.2019324120321605
root_mean_squared_error
0.18790785465215143
root_relative_squared_error
0.5091990687594101
root_relative_squared_error
0.587972438838705
root_relative_squared_error
0.5718605388763874
root_relative_squared_error
0.504562245466748
root_relative_squared_error
0.5510384941361448
root_relative_squared_error
0.5316220032518725
root_relative_squared_error
0.50458511879091
root_relative_squared_error
0.5338355038950592
root_relative_squared_error
0.542516325187474
root_relative_squared_error
0.5048566226456482
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
73243.9455230051
usercpu_time_millis
71090.93325899448
usercpu_time_millis
72778.40401999856
usercpu_time_millis
70668.16290399584
usercpu_time_millis
72519.32009800657
usercpu_time_millis
70685.74589399941
usercpu_time_millis
72249.21349700162
usercpu_time_millis
70318.89615900582
usercpu_time_millis
71601.74548700161
usercpu_time_millis
70727.65861899825
usercpu_time_millis_testing
7450.295677001122
usercpu_time_millis_testing
7365.227877999132
usercpu_time_millis_testing
7432.1762309991755
usercpu_time_millis_testing
7388.52061599755
usercpu_time_millis_testing
7353.0994200045825
usercpu_time_millis_testing
7339.043805994152
usercpu_time_millis_testing
7388.519916996302
usercpu_time_millis_testing
7191.9863680013805
usercpu_time_millis_testing
7468.9219939973555
usercpu_time_millis_testing
7219.422834998113
usercpu_time_millis_training
65793.64984600397
usercpu_time_millis_training
63725.70538099535
usercpu_time_millis_training
65346.227788999386
usercpu_time_millis_training
63279.642287998286
usercpu_time_millis_training
65166.22067800199
usercpu_time_millis_training
63346.70208800526
usercpu_time_millis_training
64860.69358000532
usercpu_time_millis_training
63126.90979100444
usercpu_time_millis_training
64132.82349300425
usercpu_time_millis_training
63508.235784000135
wall_clock_time_millis
76804.17966842651
wall_clock_time_millis
75957.99040794373
wall_clock_time_millis
78442.99411773682
wall_clock_time_millis
75809.87596511841
wall_clock_time_millis
78713.31024169922
wall_clock_time_millis
74338.60158920288
wall_clock_time_millis
77238.2562160492
wall_clock_time_millis
77638.4699344635
wall_clock_time_millis
75959.84506607056
wall_clock_time_millis
77118.30353736877
wall_clock_time_millis_testing
7694.881916046143
wall_clock_time_millis_testing
7907.599449157715
wall_clock_time_millis_testing
8150.64001083374
wall_clock_time_millis_testing
7389.139652252197
wall_clock_time_millis_testing
7780.548334121704
wall_clock_time_millis_testing
7779.653072357178
wall_clock_time_millis_testing
7579.152345657349
wall_clock_time_millis_testing
8102.038383483887
wall_clock_time_millis_testing
7977.105379104614
wall_clock_time_millis_testing
7220.122337341309
wall_clock_time_millis_training
69109.29775238037
wall_clock_time_millis_training
68050.39095878601
wall_clock_time_millis_training
70292.35410690308
wall_clock_time_millis_training
68420.73631286621
wall_clock_time_millis_training
70932.76190757751
wall_clock_time_millis_training
66558.9485168457
wall_clock_time_millis_training
69659.10387039185
wall_clock_time_millis_training
69536.43155097961
wall_clock_time_millis_training
67982.73968696594
wall_clock_time_millis_training
69898.18120002747