10559592
8323
Heinrich Peters
14969
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8271800
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
memory
null
17494
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"}}]
17494
verbose
false
17494
C
21.326392878764878
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.1522555303860622
17495
decision_function_shape
"ovr"
17495
degree
1
17495
gamma
0.007801179012523081
17495
kernel
"poly"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
4538
GesturePhaseSegmentationProcessed
https://www.openml.org/data/download/1798765/phpYLeydd
-1
22044171
description
https://api.openml.org/data/download/22044171/description.xml
-1
22044172
predictions
https://api.openml.org/data/download/22044172/predictions.arff
area_under_roc_curve
0.7617000724370807 [0.832554,0.729132,0.723759,0.795647,0.721346]
average_cost
0
f_measure
0.4065903896200677 [0.616974,0.007968,0.346354,0.042068,0.523104]
kappa
0.2763743783038374
kb_relative_information_score
0.22833078044650823
mean_absolute_error
0.26757174297489517
mean_prior_absolute_error
0.3064842019667116
weighted_recall
0.4779702218170769 [0.860635,0.004008,0.253696,0.022079,0.610169]
number_of_instances
9873 [2741,998,2097,1087,2950]
precision
0.5024909669260597 [0.48084,0.666667,0.545641,0.444444,0.457782]
predictive_accuracy
0.4779702218170769
prior_entropy
2.193423777764492
relative_absolute_error
0.8730360040024416
root_mean_prior_squared_error
0.39145712447409964
root_mean_squared_error
0.36250493078700446
root_relative_squared_error
0.9260399367466084
total_cost
0
unweighted_recall
0.3501174370100507 [0.860635,0.004008,0.253696,0.022079,0.610169]
area_under_roc_curve
0.7608190246781729 [0.818694,0.747736,0.699412,0.788855,0.744853]
area_under_roc_curve
0.764581537345008 [0.824787,0.765327,0.744938,0.757345,0.725067]
area_under_roc_curve
0.7645859958607029 [0.835301,0.736937,0.731326,0.804501,0.717206]
area_under_roc_curve
0.752496958448335 [0.814555,0.71509,0.698627,0.788918,0.732301]
area_under_roc_curve
0.7511625628583712 [0.840077,0.704557,0.728486,0.822631,0.673895]
area_under_roc_curve
0.7733846429284538 [0.834231,0.748715,0.748741,0.810412,0.72922]
area_under_roc_curve
0.7652293213322449 [0.840609,0.715953,0.736594,0.849682,0.701386]
area_under_roc_curve
0.7592704131424313 [0.831231,0.711736,0.70929,0.761405,0.743166]
area_under_roc_curve
0.763712932918595 [0.839662,0.730519,0.714542,0.817663,0.719325]
area_under_roc_curve
0.7662702673354225 [0.847022,0.71248,0.727531,0.775553,0.733516]
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
0.41123327649302294 [0.612946,0.019802,0.345679,0.064516,0.531343]
f_measure
0.4174185494259688 [0.619108,0.019802,0.382445,0.054054,0.522796]
f_measure
0.4269044011668023 [0.634409,0.019802,0.367893,0.10084,0.534459]
kappa
0.27802889603138925
kappa
0.2855248885139207
kappa
0.28750236006751567
kappa
0.2429384491676694
kappa
0.2523217036933671
kappa
0.2749115158901231
kappa
0.2889453162743906
kappa
0.2632688421268967
kappa
0.29908249830289935
kappa
0.2909957740356178
kb_relative_information_score
0.22961797060229489
kb_relative_information_score
0.2298010684996069
kb_relative_information_score
0.23479791580567724
kb_relative_information_score
0.21986014338712356
kb_relative_information_score
0.22518539060810125
kb_relative_information_score
0.2325149329190727
kb_relative_information_score
0.2332424304887084
kb_relative_information_score
0.22263882685757747
kb_relative_information_score
0.23130221021500472
kb_relative_information_score
0.2243336931951774
mean_absolute_error
0.2671627323798097
mean_absolute_error
0.2670036768912088
mean_absolute_error
0.2657457983960693
mean_absolute_error
0.26941215039596716
mean_absolute_error
0.26873264511030825
mean_absolute_error
0.2671271118972149
mean_absolute_error
0.26680130351118214
mean_absolute_error
0.26828287524578104
mean_absolute_error
0.26689739220595343
mean_absolute_error
0.2685545836559368
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30646060253225527
mean_prior_absolute_error
0.3063927432405889
mean_prior_absolute_error
0.3064642539693521
mean_prior_absolute_error
0.3064642539693521
mean_prior_absolute_error
0.30650569162629465
mean_prior_absolute_error
0.30650569162629465
mean_prior_absolute_error
0.30650569162629465
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
987 [274,99,210,109,295]
number_of_instances
987 [275,99,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
precision
0.5099817754207734 [0.480331,1,0.491228,0.266667,0.474667]
precision
0.6034447883217571 [0.475538,1,0.559633,1,0.473829]
precision
0.5728883261081087 [0.502128,1,0.611111,0.6,0.456731]
predictive_accuracy
0.4767206477732793
predictive_accuracy
0.4838056680161943
predictive_accuracy
0.48582995951417
predictive_accuracy
0.4549138804457954
predictive_accuracy
0.46099290780141844
predictive_accuracy
0.4772036474164134
predictive_accuracy
0.48632218844984804
predictive_accuracy
0.47011144883485306
predictive_accuracy
0.4944275582573455
predictive_accuracy
0.48936170212765956
prior_entropy
2.19399681440811
prior_entropy
2.19399681440811
prior_entropy
2.19399681440811
prior_entropy
2.1928705068385277
prior_entropy
2.191519392335459
prior_entropy
2.1929952504793158
prior_entropy
2.1929952504793158
prior_entropy
2.193955064178735
prior_entropy
2.193955064178735
prior_entropy
2.193955064178735
relative_absolute_error
0.8716157891275128
relative_absolute_error
0.8710968721589034
relative_absolute_error
0.8669930559289929
relative_absolute_error
0.8791085972220892
relative_absolute_error
0.877085541478674
relative_absolute_error
0.8716419890325247
relative_absolute_error
0.8705788686789668
relative_absolute_error
0.8752949213513577
relative_absolute_error
0.8707746691091355
relative_absolute_error
0.8761813923617787
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914269802492724
root_mean_prior_squared_error
0.39134028871992976
root_mean_prior_squared_error
0.3914316444849103
root_mean_prior_squared_error
0.3914316444849103
root_mean_prior_squared_error
0.3914845718046929
root_mean_prior_squared_error
0.3914845718046929
root_mean_prior_squared_error
0.3914845718046929
root_mean_squared_error
0.3630617493263435
root_mean_squared_error
0.3616354361487146
root_mean_squared_error
0.361082606744138
root_mean_squared_error
0.363993509867039
root_mean_squared_error
0.365079127165161
root_mean_squared_error
0.36099600988619035
root_mean_squared_error
0.3619893041779742
root_mean_squared_error
0.3638801066259336
root_mean_squared_error
0.3616667760539284
root_mean_squared_error
0.361641866595231
root_relative_squared_error
0.9273711924603875
root_relative_squared_error
0.9237279506294483
root_relative_squared_error
0.9223158545738858
root_relative_squared_error
0.9299142068215049
root_relative_squared_error
0.9328943062809384
root_relative_squared_error
0.9222453395693888
root_relative_squared_error
0.9247829328012567
root_relative_squared_error
0.9294877316582201
root_relative_squared_error
0.9238340463500045
root_relative_squared_error
0.9237704181498368
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
unweighted_recall
0.3526938146697433 [0.846715,0.01,0.266667,0.036697,0.60339]
unweighted_recall
0.35830552794140436 [0.861314,0,0.280952,0.045872,0.60339]
unweighted_recall
0.35851183983644563 [0.857664,0,0.261905,0.045872,0.627119]
unweighted_recall
0.32695604531556527 [0.832117,0,0.185714,0,0.616949]
unweighted_recall
0.33692743414777315 [0.843636,0,0.295238,0,0.545763]
unweighted_recall
0.3467815462198736 [0.868613,0,0.261905,0,0.60339]
unweighted_recall
0.3596332259160417 [0.886861,0.01,0.290476,0.027778,0.583051]
unweighted_recall
0.3385449047863198 [0.857664,0,0.181818,0.009174,0.644068]
unweighted_recall
0.36671708630395666 [0.861314,0.01,0.263158,0.055046,0.644068]
unweighted_recall
0.35596465024651536 [0.890511,0.01,0.248804,0,0.630508]
usercpu_time_millis
37066.02600000042
usercpu_time_millis
36430.37199999981
usercpu_time_millis
37063.208000000486
usercpu_time_millis
37093.94800000064
usercpu_time_millis
41649.40999999999
usercpu_time_millis
44867.43999999999
usercpu_time_millis
40755.19799999984
usercpu_time_millis
37400.101999999606
usercpu_time_millis
37868.570000000545
usercpu_time_millis
47040.18999999971
usercpu_time_millis_testing
449.3160000001808
usercpu_time_millis_testing
440.5980000001364
usercpu_time_millis_testing
443.2520000000295
usercpu_time_millis_testing
498.5880000003817
usercpu_time_millis_testing
481.4939999996568
usercpu_time_millis_testing
568.7360000001718
usercpu_time_millis_testing
451.63400000001275
usercpu_time_millis_testing
447.54199999988487
usercpu_time_millis_testing
442.3900000001595
usercpu_time_millis_testing
455.8499999993728
usercpu_time_millis_training
36616.71000000024
usercpu_time_millis_training
35989.77399999967
usercpu_time_millis_training
36619.95600000046
usercpu_time_millis_training
36595.360000000255
usercpu_time_millis_training
41167.91600000033
usercpu_time_millis_training
44298.703999999816
usercpu_time_millis_training
40303.563999999824
usercpu_time_millis_training
36952.55999999972
usercpu_time_millis_training
37426.180000000386
usercpu_time_millis_training
46584.34000000034
wall_clock_time_millis
18904.294967651367
wall_clock_time_millis
18564.537048339844
wall_clock_time_millis
18878.835916519165
wall_clock_time_millis
18991.80316925049
wall_clock_time_millis
21407.800912857056
wall_clock_time_millis
23168.542623519897
wall_clock_time_millis
20792.34266281128
wall_clock_time_millis
19073.458909988403
wall_clock_time_millis
19291.35823249817
wall_clock_time_millis
26112.504243850708
wall_clock_time_millis_testing
225.15106201171875
wall_clock_time_millis_testing
220.68214416503906
wall_clock_time_millis_testing
224.67398643493652
wall_clock_time_millis_testing
251.86395645141602
wall_clock_time_millis_testing
243.3478832244873
wall_clock_time_millis_testing
300.31371116638184
wall_clock_time_millis_testing
227.3998260498047
wall_clock_time_millis_testing
225.70204734802246
wall_clock_time_millis_testing
221.79007530212402
wall_clock_time_millis_testing
228.6539077758789
wall_clock_time_millis_training
18679.14390563965
wall_clock_time_millis_training
18343.854904174805
wall_clock_time_millis_training
18654.16193008423
wall_clock_time_millis_training
18739.939212799072
wall_clock_time_millis_training
21164.45302963257
wall_clock_time_millis_training
22868.228912353516
wall_clock_time_millis_training
20564.942836761475
wall_clock_time_millis_training
18847.75686264038
wall_clock_time_millis_training
19069.568157196045
wall_clock_time_millis_training
25883.85033607483
weighted_recall
0.4767206477732793 [0.846715,0.01,0.266667,0.036697,0.60339]
weighted_recall
0.48380566801619435 [0.861314,0,0.280952,0.045872,0.60339]
weighted_recall
0.48582995951417 [0.857664,0,0.261905,0.045872,0.627119]
weighted_recall
0.45491388044579534 [0.832117,0,0.185714,0,0.616949]
weighted_recall
0.46099290780141844 [0.843636,0,0.295238,0,0.545763]
weighted_recall
0.47720364741641336 [0.868613,0,0.261905,0,0.60339]
weighted_recall
0.48632218844984804 [0.886861,0.01,0.290476,0.027778,0.583051]
weighted_recall
0.47011144883485306 [0.857664,0,0.181818,0.009174,0.644068]
weighted_recall
0.49442755825734547 [0.861314,0.01,0.263158,0.055046,0.644068]
weighted_recall
0.48936170212765956 [0.890511,0.01,0.248804,0,0.630508]