10559603
8323
Heinrich Peters
14970
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270414
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
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copy
true
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fill_value
null
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missing_values
NaN
17407
strategy
"median"
17407
verbose
0
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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
10139.809803411456
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.3001248192233066
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.005578662823307313
17495
kernel
"poly"
17495
max_iter
-1
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probability
true
17495
random_state
1
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shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
1478
har
https://www.openml.org/data/download/1589271/php88ZB4Q
-1
22044193
description
https://api.openml.org/data/download/22044193/description.xml
-1
22044194
predictions
https://api.openml.org/data/download/22044194/predictions.arff
area_under_roc_curve
0.9991699013773105 [0.99912,0.999337,0.998765,0.998787,0.998982,0.99991]
average_cost
0
f_measure
0.9861138920475225 [0.991889,0.991607,0.987848,0.972214,0.97475,0.999228]
kappa
0.9832969637387113
kb_relative_information_score
0.9736631031757484
mean_absolute_error
0.011653980944176313
mean_prior_absolute_error
0.27709458719152297
weighted_recall
0.9861151568113409 [0.994193,0.994819,0.98293,0.974676,0.972193,0.998457]
number_of_instances
10299 [1722,1544,1406,1777,1906,1944]
precision
0.9861291208476385 [0.989595,0.988417,0.992816,0.969765,0.977321,1]
predictive_accuracy
0.986115156811341
prior_entropy
2.575922879508845
relative_absolute_error
0.042057771904874065
root_mean_prior_squared_error
0.3722191487615371
root_mean_squared_error
0.06278776838250905
root_relative_squared_error
0.16868494969003905
total_cost
0
unweighted_recall
0.9862113393665917 [0.994193,0.994819,0.98293,0.974676,0.972193,0.998457]
area_under_roc_curve
0.9986744995260244 [0.994904,0.999041,0.999952,0.99905,0.999139,1]
area_under_roc_curve
0.9992594854687771 [0.999878,0.999808,0.999374,0.998596,0.998246,0.999797]
area_under_roc_curve
0.9997853290974905 [1,1,0.999984,0.999407,0.999407,1]
area_under_roc_curve
0.9997559556667165 [0.999512,1,0.999936,0.999578,0.999561,1]
area_under_roc_curve
0.9984961628518788 [0.999009,0.995982,1,0.996868,0.998941,1]
area_under_roc_curve
0.9991170631096409 [0.999379,0.999318,0.99566,0.999769,0.999768,1]
area_under_roc_curve
0.9981274730756367 [0.998699,0.999429,0.993139,0.997989,0.998465,1]
area_under_roc_curve
0.999670173886485 [1,0.999852,0.999832,0.999212,0.999201,0.999994]
area_under_roc_curve
0.9991596742220926 [0.999932,1,0.999944,0.998059,0.998165,0.99922]
area_under_roc_curve
0.9995683660845833 [1,1,0.999976,0.998939,0.998675,1]
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
0.9902901289906719 [0.994152,0.996785,0.996441,0.977654,0.978947,1]
f_measure
0.9825053743362735 [0.982659,0.987261,0.974545,0.975069,0.976127,0.997416]
f_measure
0.9854335606518461 [0.997101,1,0.996416,0.960452,0.963542,1]
f_measure
0.9883462700054727 [0.994186,0.990291,0.989399,0.977273,0.979167,1]
f_measure
0.9825114895234438 [0.988506,0.974522,0.978261,0.971591,0.979058,1]
f_measure
0.9893355493616505 [0.994186,0.990228,0.982456,0.983146,0.984211,1]
f_measure
0.9864097663474525 [0.991304,0.990291,0.992857,0.97191,0.973684,1]
f_measure
0.980580574854056 [0.988506,0.987013,0.982079,0.963585,0.965699,0.997429]
f_measure
0.9893388938886755 [0.994186,1,0.992908,0.97493,0.978836,0.997429]
f_measure
0.9863966308502136 [0.99422,1,0.992806,0.96648,0.968254,1]
kappa
0.9883215320335841
kappa
0.978976850723167
kappa
0.9824796559888959
kappa
0.9859856954315181
kappa
0.9789763024146635
kappa
0.9871546464920167
kappa
0.9836483093803368
kappa
0.9766401770810654
kappa
0.9871535832772081
kappa
0.9836313683248911
kb_relative_information_score
0.9740292475115986
kb_relative_information_score
0.9678980600119707
kb_relative_information_score
0.9718051452955226
kb_relative_information_score
0.9775996695988508
kb_relative_information_score
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kb_relative_information_score
0.976869500555793
kb_relative_information_score
0.9746871075478283
kb_relative_information_score
0.970012596344933
kb_relative_information_score
0.977741802783137
kb_relative_information_score
0.9747688525270704
mean_absolute_error
0.011773248401199293
mean_absolute_error
0.013963118282245952
mean_absolute_error
0.013046003376798159
mean_absolute_error
0.009967955620385481
mean_absolute_error
0.012464063873210357
mean_absolute_error
0.010626736320513495
mean_absolute_error
0.01059095753649948
mean_absolute_error
0.012614346074548501
mean_absolute_error
0.010007454965704031
mean_absolute_error
0.011485761670975083
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.2771076974290587
mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
0.27709513558158777
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
0.2770910843857784
mean_prior_absolute_error
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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
0.9903274873580595 [1,0.99359,0.992908,0.972222,0.984127,1]
precision
0.9827641381505007 [0.977011,0.974843,0.992593,0.961749,0.989247,1]
precision
0.9854567961971292 [0.99422,1,1,0.965909,0.958549,1]
precision
0.9884323546886027 [0.994186,0.993506,0.985915,0.988506,0.969072,1]
precision
0.982796022845027 [0.982857,0.95625,1,0.982759,0.973958,1]
precision
0.9893949489180786 [1,0.993464,0.972222,0.983146,0.984211,1]
precision
0.9864315183683962 [0.988439,0.987097,1,0.97191,0.973684,1]
precision
0.9807016660774419 [0.977273,0.987013,0.992754,0.955556,0.973404,1]
precision
0.9894655601394607 [0.994186,1,0.992908,0.961538,0.989305,1]
precision
0.986505561310526 [0.988506,1,1,0.955801,0.97861,1]
predictive_accuracy
0.9902912621359223
predictive_accuracy
0.9825242718446602
predictive_accuracy
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predictive_accuracy
0.9883495145631067
predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
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predictive_accuracy
0.9893203883495145
predictive_accuracy
0.9863945578231292
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
relative_absolute_error
0.042488590823825695
relative_absolute_error
0.05039163356636507
relative_absolute_error
0.04708184865160583
relative_absolute_error
0.03597141368812875
relative_absolute_error
0.0449800399926459
relative_absolute_error
0.03834953266850389
relative_absolute_error
0.03822137661951515
relative_absolute_error
0.045524186036192536
relative_absolute_error
0.036116120400940845
relative_absolute_error
0.04145277342258675
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
0.059622801978231395
root_mean_squared_error
0.07094356190289836
root_mean_squared_error
0.06243870551785532
root_mean_squared_error
0.05676696620601385
root_mean_squared_error
0.06626934403880043
root_mean_squared_error
0.05740291440398179
root_mean_squared_error
0.06573782602893209
root_mean_squared_error
0.06930940071894988
root_mean_squared_error
0.05729376855567459
root_mean_squared_error
0.06016000141771454
root_relative_squared_error
0.16018348310314642
root_relative_squared_error
0.19059800063571306
root_relative_squared_error
0.1677487303255786
root_relative_squared_error
0.1525023114839388
root_relative_squared_error
0.17803368206986392
root_relative_squared_error
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root_relative_squared_error
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root_relative_squared_error
0.18620825156588633
root_relative_squared_error
0.15392677411299313
root_relative_squared_error
0.16163334518574912
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
0.9908900249946303 [0.988372,1,1,0.983146,0.973822,1]
unweighted_recall
0.9820791902124982 [0.988372,1,0.957143,0.988764,0.963351,0.994845]
unweighted_recall
0.986083285011163 [1,1,0.992857,0.955056,0.968586,1]
unweighted_recall
0.9883260735276004 [0.994186,0.987097,0.992908,0.966292,0.989474,1]
unweighted_recall
0.9816762731359138 [0.99422,0.993506,0.957447,0.960674,0.984211,1]
unweighted_recall
0.9892861147535547 [0.988439,0.987013,0.992908,0.983146,0.984211,1]
unweighted_recall
0.9865170776234778 [0.994186,0.993506,0.985816,0.97191,0.973684,1]
unweighted_recall
0.980563763872332 [1,0.987013,0.971631,0.971751,0.958115,0.994872]
unweighted_recall
0.9898754325346948 [0.994186,1,0.992908,0.988701,0.968586,0.994872]
unweighted_recall
0.9868717664839769 [1,1,0.985714,0.977401,0.958115,1]
usercpu_time_millis
84606.0620000003
usercpu_time_millis
87979.50200000014
usercpu_time_millis
83645.00599999975
usercpu_time_millis
84521.60000000003
usercpu_time_millis
83808.77800000006
usercpu_time_millis
84973.39199999988
usercpu_time_millis
84851.61599999992
usercpu_time_millis
85419.24200000039
usercpu_time_millis
84700.08800000005
usercpu_time_millis
84899.5960000002
usercpu_time_millis_testing
2536.485999999968
usercpu_time_millis_testing
2569.7180000001936
usercpu_time_millis_testing
2490.635999999995
usercpu_time_millis_testing
2520.524000000023
usercpu_time_millis_testing
2482.3419999997896
usercpu_time_millis_testing
2583.9119999996
usercpu_time_millis_testing
2501.9199999997
usercpu_time_millis_testing
2558.686000000307
usercpu_time_millis_testing
2594.720000000052
usercpu_time_millis_testing
2502.966000000015
usercpu_time_millis_training
82069.57600000032
usercpu_time_millis_training
85409.78399999994
usercpu_time_millis_training
81154.36999999975
usercpu_time_millis_training
82001.07600000002
usercpu_time_millis_training
81326.43600000028
usercpu_time_millis_training
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usercpu_time_millis_training
82349.69600000023
usercpu_time_millis_training
82860.55600000008
usercpu_time_millis_training
82105.368
usercpu_time_millis_training
82396.63000000018
wall_clock_time_millis
43857.5701713562
wall_clock_time_millis
46037.01591491699
wall_clock_time_millis
43622.19214439392
wall_clock_time_millis
44320.85204124451
wall_clock_time_millis
43788.114070892334
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
44658.95867347717
wall_clock_time_millis
43924.58415031433
wall_clock_time_millis
44054.88419532776
wall_clock_time_millis_testing
1325.8891105651855
wall_clock_time_millis_testing
1387.523889541626
wall_clock_time_millis_testing
1255.5160522460938
wall_clock_time_millis_testing
1338.8500213623047
wall_clock_time_millis_testing
1290.8668518066406
wall_clock_time_millis_testing
1362.6890182495117
wall_clock_time_millis_testing
1337.9809856414795
wall_clock_time_millis_testing
1302.7658462524414
wall_clock_time_millis_testing
1365.6301498413086
wall_clock_time_millis_testing
1317.3198699951172
wall_clock_time_millis_training
42531.681060791016
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
43356.19282722473
wall_clock_time_millis_training
42558.95400047302
wall_clock_time_millis_training
42737.56432533264
weighted_recall
0.9902912621359223 [0.988372,1,1,0.983146,0.973822,1]
weighted_recall
0.9825242718446602 [0.988372,1,0.957143,0.988764,0.963351,0.994845]
weighted_recall
0.9854368932038835 [1,1,0.992857,0.955056,0.968586,1]
weighted_recall
0.9883495145631068 [0.994186,0.987097,0.992908,0.966292,0.989474,1]
weighted_recall
0.9825242718446602 [0.99422,0.993506,0.957447,0.960674,0.984211,1]
weighted_recall
0.9893203883495145 [0.988439,0.987013,0.992908,0.983146,0.984211,1]
weighted_recall
0.9864077669902913 [0.994186,0.993506,0.985816,0.97191,0.973684,1]
weighted_recall
0.9805825242718447 [1,0.987013,0.971631,0.971751,0.958115,0.994872]
weighted_recall
0.9893203883495145 [0.994186,1,0.992908,0.988701,0.968586,0.994872]
weighted_recall
0.9863945578231292 [1,1,0.985714,0.977401,0.958115,1]