10330418
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)
8186027
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
2.127152514532044
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7775734071002594
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.08348320534923016
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
41074
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
21582533
description
https://api.openml.org/data/download/21582533/description.xml
-1
21582534
predictions
https://api.openml.org/data/download/21582534/predictions.arff
area_under_roc_curve
0.9931118810863375 [0.999128,0.998686,0.998109,0.983537,0.981901,0.999486]
average_cost
0
f_measure
0.9886404185398252 [0.997969,0.997088,0.997508,0.970291,0.972873,0.999485]
kappa
0.9863342906042647
kb_relative_information_score
0.9877251999032299
mean_absolute_error
0.0037867754150888435
mean_prior_absolute_error
0.27709458719152297
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9886528832477879 [0.997101,0.996122,0.998574,0.966499,0.976732,1]
predictive_accuracy
0.9886396737547335
prior_entropy
2.575922879508845
recall
0.9886396737547335 [0.998839,0.998057,0.996444,0.974114,0.969045,0.998971]
relative_absolute_error
0.013666002838487385
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.061536780993880755
root_relative_squared_error
0.1653240602978876
total_cost
0
area_under_roc_curve
0.9952751247253085 [0.997093,0.999429,1,0.984781,0.991785,1]
area_under_roc_curve
0.9917721841577873 [1,0.999429,1,0.985704,0.972034,0.997423]
area_under_roc_curve
0.9923295304135169 [0.999417,0.996774,1,0.981847,0.978696,1]
area_under_roc_curve
0.9934859154929578 [1,1,1,0.97799,0.985307,1]
area_under_roc_curve
0.9912279613755592 [1,0.997717,0.992908,0.979038,0.98183,0.997423]
area_under_roc_curve
0.9970817688281922 [0.99711,1,0.999438,0.99543,0.99151,1]
area_under_roc_curve
0.9917788557788003 [0.998252,0.993506,0.992345,0.983021,0.983866,1]
area_under_roc_curve
0.9917349828900872 [1,1,1,0.978362,0.975482,1]
area_under_roc_curve
0.9941124079197372 [0.999417,1,0.996454,0.988008,0.982505,1]
area_under_roc_curve
0.9923218707631629 [1,1,1,0.981181,0.976074,1]
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
0.9922307550251205 [0.997085,0.996785,1,0.98017,0.981818,1]
f_measure
0.9864119677152052 [1,0.996785,1,0.964187,0.965333,0.997416]
f_measure
0.9873803609301837 [0.997101,0.996764,1,0.96648,0.968421,1]
f_measure
0.9893168337187535 [1,1,1,0.968839,0.971279,1]
f_measure
0.9854455907138758 [1,0.987179,0.992857,0.963585,0.973545,0.997416]
f_measure
0.9951465132843353 [0.997101,1,0.996466,0.988827,0.989418,1]
f_measure
0.9864088293919492 [0.991354,0.993464,0.989324,0.97191,0.973684,1]
f_measure
0.9864101783858576 [1,1,1,0.960674,0.963158,1]
f_measure
0.9902930728050598 [0.997101,1,0.996441,0.97479,0.976253,1]
f_measure
0.9873694564250772 [1,1,1,0.963585,0.965699,1]
kappa
0.990656197979743
kappa
0.9836511643726901
kappa
0.9848168554448978
kappa
0.9871535250137762
kappa
0.9824833109603454
kappa
0.9941610639335154
kappa
0.9836478828997907
kappa
0.9836491622746941
kappa
0.9883206050606932
kappa
0.984801419761222
kb_relative_information_score
0.9915782270239231
kb_relative_information_score
0.9855174268650809
kb_relative_information_score
0.986386723008809
kb_relative_information_score
0.988477901354369
kb_relative_information_score
0.9841332456768597
kb_relative_information_score
0.9947839947827568
kb_relative_information_score
0.9849993349190814
kb_relative_information_score
0.9854198006423082
kb_relative_information_score
0.9894899855166401
kb_relative_information_score
0.9864636143029601
mean_absolute_error
0.0025889967637540453
mean_absolute_error
0.004530744336569578
mean_absolute_error
0.004207119741100323
mean_absolute_error
0.0035598705501618125
mean_absolute_error
0.004854368932038834
mean_absolute_error
0.0016181229773462782
mean_absolute_error
0.004530744336569578
mean_absolute_error
0.004530744336569578
mean_absolute_error
0.003236245954692557
mean_absolute_error
0.004211208292840945
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
0.9922810137182072 [1,0.99359,1,0.988571,0.974227,1]
precision
0.9866705419417535 [1,0.99359,1,0.945946,0.983696,1]
precision
0.9874083961861053 [0.99422,1,1,0.961111,0.973545,1]
precision
0.9893594532636737 [1,1,1,0.977143,0.963731,1]
precision
0.9855318628898514 [1,0.974684,1,0.960894,0.978723,1]
precision
0.9951745022223129 [1,1,0.992958,0.983333,0.994681,1]
precision
0.9864507628294036 [0.982857,1,0.992857,0.97191,0.973684,1]
precision
0.9864329062246294 [1,1,1,0.955307,0.968254,1]
precision
0.9903474835013546 [0.99422,1,1,0.966667,0.984043,1]
precision
0.987418412147027 [1,1,1,0.955556,0.973404,1]
predictive_accuracy
0.9922330097087378
predictive_accuracy
0.9864077669902913
predictive_accuracy
0.987378640776699
predictive_accuracy
0.9893203883495145
predictive_accuracy
0.9854368932038835
predictive_accuracy
0.9951456310679612
predictive_accuracy
0.9864077669902913
predictive_accuracy
0.9864077669902913
predictive_accuracy
0.9902912621359223
predictive_accuracy
0.9873663751214772
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
0.9922330097087378 [0.994186,1,1,0.97191,0.989529,1]
recall
0.9864077669902913 [1,1,1,0.983146,0.947644,0.994845]
recall
0.987378640776699 [1,0.993548,1,0.97191,0.963351,1]
recall
0.9893203883495145 [1,1,1,0.960674,0.978947,1]
recall
0.9854368932038835 [1,1,0.985816,0.966292,0.968421,0.994845]
recall
0.9951456310679612 [0.99422,1,1,0.994382,0.984211,1]
recall
0.9864077669902913 [1,0.987013,0.985816,0.97191,0.973684,1]
recall
0.9864077669902913 [1,1,1,0.966102,0.958115,1]
recall
0.9902912621359223 [1,1,0.992908,0.983051,0.968586,1]
recall
0.9873663751214772 [1,1,1,0.971751,0.958115,1]
relative_absolute_error
0.0093434556369463
relative_absolute_error
0.016351047364656025
relative_absolute_error
0.015183115410037737
relative_absolute_error
0.012846523511217733
relative_absolute_error
0.017518339999161477
relative_absolute_error
0.005839446666387161
relative_absolute_error
0.01635086204981591
relative_absolute_error
0.01635110110674538
relative_absolute_error
0.01167935793338956
relative_absolute_error
0.015198492550963253
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
0.050882185131478436
root_mean_squared_error
0.06731080401072013
root_mean_squared_error
0.0648623137199123
root_mean_squared_error
0.05966465075873496
root_mean_squared_error
0.06967330142916175
root_mean_squared_error
0.040225899335456484
root_mean_squared_error
0.06731080401072013
root_mean_squared_error
0.06731080401072013
root_mean_squared_error
0.05688801239885743
root_mean_squared_error
0.06489382322564255
root_relative_squared_error
0.13670081532288822
root_relative_squared_error
0.18083818068206495
root_relative_squared_error
0.17426003121386263
root_relative_squared_error
0.16028683163316704
root_relative_squared_error
0.18717846955199335
root_relative_squared_error
0.10806753978234557
root_relative_squared_error
0.18083613113933633
root_relative_squared_error
0.18083877506249124
root_relative_squared_error
0.15283666016395767
root_relative_squared_error
0.1743518198582473
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
17473.51671900833
usercpu_time_millis
17752.796206012135
usercpu_time_millis
17596.169741998892
usercpu_time_millis
17559.35174098704
usercpu_time_millis
17536.787139993976
usercpu_time_millis
17598.298241995508
usercpu_time_millis
17706.048191990703
usercpu_time_millis
17410.732246004045
usercpu_time_millis
17039.90958900249
usercpu_time_millis
17163.324749009917
usercpu_time_millis_testing
2021.6566690069158
usercpu_time_millis_testing
2120.4068470105994
usercpu_time_millis_testing
2132.618856005138
usercpu_time_millis_testing
2084.816424991004
usercpu_time_millis_testing
2190.3948429971933
usercpu_time_millis_testing
2208.9264239912154
usercpu_time_millis_testing
2134.7139489953406
usercpu_time_millis_testing
2120.456345001003
usercpu_time_millis_testing
2045.6810470059281
usercpu_time_millis_testing
2110.313537006732
usercpu_time_millis_training
15451.860050001414
usercpu_time_millis_training
15632.389359001536
usercpu_time_millis_training
15463.550885993754
usercpu_time_millis_training
15474.535315996036
usercpu_time_millis_training
15346.392296996783
usercpu_time_millis_training
15389.371818004292
usercpu_time_millis_training
15571.334242995363
usercpu_time_millis_training
15290.275901003042
usercpu_time_millis_training
14994.228541996563
usercpu_time_millis_training
15053.011212003184
wall_clock_time_millis
19115.085124969482
wall_clock_time_millis
19431.907653808594
wall_clock_time_millis
17645.585775375366
wall_clock_time_millis
17560.84442138672
wall_clock_time_millis
17538.087368011475
wall_clock_time_millis
17599.878311157227
wall_clock_time_millis
17727.445602416992
wall_clock_time_millis
19170.237064361572
wall_clock_time_millis
18360.116004943848
wall_clock_time_millis
17644.588708877563
wall_clock_time_millis_testing
2053.9960861206055
wall_clock_time_millis_testing
2384.6700191497803
wall_clock_time_millis_testing
2132.817029953003
wall_clock_time_millis_testing
2085.106372833252
wall_clock_time_millis_testing
2190.5715465545654
wall_clock_time_millis_testing
2209.2418670654297
wall_clock_time_millis_testing
2134.8836421966553
wall_clock_time_millis_testing
2257.8845024108887
wall_clock_time_millis_testing
2077.892780303955
wall_clock_time_millis_testing
2190.472364425659
wall_clock_time_millis_training
17061.089038848877
wall_clock_time_millis_training
17047.237634658813
wall_clock_time_millis_training
15512.768745422363
wall_clock_time_millis_training
15475.738048553467
wall_clock_time_millis_training
15347.51582145691
wall_clock_time_millis_training
15390.636444091797
wall_clock_time_millis_training
15592.561960220337
wall_clock_time_millis_training
16912.352561950684
wall_clock_time_millis_training
16282.223224639893
wall_clock_time_millis_training
15454.116344451904