10370483
8323
Heinrich Peters
3918
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8225830
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
73.15153484301855
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5428573815911459
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.037758991593650544
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
60442
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.
1068
pc1
https://www.openml.org/data/download/53951/pc1.arff
-1
21662671
description
https://api.openml.org/data/download/21662671/description.xml
-1
21662672
predictions
https://api.openml.org/data/download/21662672/predictions.arff
area_under_roc_curve
0.5506896204570623 [0.55069,0.55069]
average_cost
0
f_measure
0.9058795053200882 [0.960302,0.176471]
kappa
0.14745396639455272
kb_relative_information_score
0.18026967686796588
mean_absolute_error
0.0757439134355275
mean_prior_absolute_error
0.12988972477049396
number_of_instances
1109 [1032,77]
precision
0.8971884514156232 [0.937269,0.36]
predictive_accuracy
0.9242560865644726
prior_entropy
0.36380676688852276
recall
0.9242560865644724 [0.984496,0.116883]
relative_absolute_error
0.5831401488405775
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.27521612132200307
root_relative_squared_error
1.082725052491442
total_cost
0
area_under_roc_curve
0.5714285714285714 [0.571429,0.571429]
area_under_roc_curve
0.5618131868131868 [0.561813,0.561813]
area_under_roc_curve
0.4902912621359224 [0.490291,0.490291]
area_under_roc_curve
0.5527912621359223 [0.552791,0.552791]
area_under_roc_curve
0.4902912621359224 [0.490291,0.490291]
area_under_roc_curve
0.5479368932038835 [0.547937,0.547937]
area_under_roc_curve
0.6777912621359223 [0.677791,0.677791]
area_under_roc_curve
0.49514563106796117 [0.495146,0.495146]
area_under_roc_curve
0.6152912621359223 [0.615291,0.615291]
area_under_roc_curve
0.5 [0.5,0.5]
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
0.926433442788583 [0.971963,0.25]
f_measure
0.9141934387217406 [0.962264,0.2]
f_measure
0.8841577426483087 [0.95283,0]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.8841577426483087 [0.95283,0]
f_measure
0.8957528957528955 [0.952381,0.166667]
f_measure
0.9301130353761933 [0.966507,0.461538]
f_measure
0.8887197056211139 [0.957746,0]
f_measure
0.9166023166023166 [0.961905,0.333333]
kappa
0.23798627002288333
kappa
0.16853932584269593
kappa
-0.02968460111317236
kappa
0.14833759590792903
kappa
-0.02968460111317236
kappa
0.12460567823343913
kappa
0.42993396918561955
kappa
-0.016276703967446498
kappa
0.29968454258675065
kappa
0
kb_relative_information_score
0.3741709080482253
kb_relative_information_score
0.16556121073096774
kb_relative_information_score
0.05068722628849006
kb_relative_information_score
0.14561850365964127
kb_relative_information_score
0.050687226288490234
kb_relative_information_score
0.05068722628849021
kb_relative_information_score
0.3354810584019428
kb_relative_information_score
0.14561850365964069
kb_relative_information_score
0.24054978103079194
kb_relative_information_score
0.2678290688329606
mean_absolute_error
0.05405405405405406
mean_absolute_error
0.07207207207207207
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.08108108108108109
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.06306306306306306
mean_absolute_error
0.08108108108108109
mean_absolute_error
0.07207207207207207
mean_absolute_error
0.06363636363636363
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.12441514421712434
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1321591618621321
mean_prior_absolute_error
0.1249079453399885
number_of_instances
111 [104,7]
number_of_instances
111 [104,7]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
111 [103,8]
number_of_instances
110 [103,7]
precision
0.9488943488943489 [0.945455,1]
precision
0.9059059059059058 [0.944444,0.333333]
precision
0.8598231258781718 [0.926606,0]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.8598231258781718 [0.926606,0]
precision
0.8852403805674834 [0.934579,0.25]
precision
0.927400985891552 [0.95283,0.6]
precision
0.8604422604422604 [0.927273,0]
precision
0.9119306222109961 [0.943925,0.5]
predictive_accuracy
0.9459459459459459
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9363636363636364
prior_entropy
0.3400686187404258
prior_entropy
0.3400686187404258
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.37364719819991066
prior_entropy
0.3422054374333021
recall
0.9459459459459459 [1,0.142857]
recall
0.9279279279279279 [0.980769,0.142857]
recall
0.9099099099099099 [0.980583,0]
recall
0.918918918918919 [0.980583,0.125]
recall
0.9099099099099099 [0.980583,0]
recall
0.9099099099099099 [0.970874,0.125]
recall
0.9369369369369369 [0.980583,0.375]
recall
0.918918918918919 [0.990291,0]
recall
0.9279279279279279 [0.980583,0.25]
recall
0.9363636363636364 [1,0]
relative_absolute_error
0.4344652284429384
relative_absolute_error
0.5792869712572513
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6135108602282492
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.4771751135108604
relative_absolute_error
0.6135108602282492
relative_absolute_error
0.5453429868695547
relative_absolute_error
0.5094660989190961
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.24318130946048286
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.25861393411013817
root_mean_prior_squared_error
0.24419244540685378
root_mean_squared_error
0.23249527748763857
root_mean_squared_error
0.2684624220856097
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.2847473987257497
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.2511236011669613
root_mean_squared_error
0.2847473987257497
root_mean_squared_error
0.2684624220856097
root_mean_squared_error
0.2522624895547565
root_relative_squared_error
0.9560573466910262
root_relative_squared_error
1.1039599329455667
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1010520361384777
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
0.9710366227212378
root_relative_squared_error
1.1010520361384777
root_relative_squared_error
1.0380818149236974
root_relative_squared_error
1.033047886204903
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
105.44313400077954
usercpu_time_millis
99.33152999929007
usercpu_time_millis
104.85110099943995
usercpu_time_millis
101.65133999998943
usercpu_time_millis
86.99181599968142
usercpu_time_millis
110.63675600053102
usercpu_time_millis
97.34616199966695
usercpu_time_millis
103.43449900028645
usercpu_time_millis
97.92809999999008
usercpu_time_millis
103.0930740007534
usercpu_time_millis_testing
1.6636549999020644
usercpu_time_millis_testing
1.6760859998612432
usercpu_time_millis_testing
1.596817999597988
usercpu_time_millis_testing
1.6756780005380278
usercpu_time_millis_testing
1.6478959996675258
usercpu_time_millis_testing
1.6189470006793272
usercpu_time_millis_testing
1.6515269999217708
usercpu_time_millis_testing
1.7761850003807922
usercpu_time_millis_testing
1.638314000047103
usercpu_time_millis_testing
1.6601920005996362
usercpu_time_millis_training
103.77947900087747
usercpu_time_millis_training
97.65544399942883
usercpu_time_millis_training
103.25428299984196
usercpu_time_millis_training
99.9756619994514
usercpu_time_millis_training
85.3439200000139
usercpu_time_millis_training
109.0178089998517
usercpu_time_millis_training
95.69463499974518
usercpu_time_millis_training
101.65831399990566
usercpu_time_millis_training
96.28978599994298
usercpu_time_millis_training
101.43288200015377
wall_clock_time_millis
105.45086860656738
wall_clock_time_millis
99.52497482299805
wall_clock_time_millis
104.8591136932373
wall_clock_time_millis
101.65977478027344
wall_clock_time_millis
87.03255653381348
wall_clock_time_millis
110.64529418945312
wall_clock_time_millis
97.35417366027832
wall_clock_time_millis
103.44266891479492
wall_clock_time_millis
97.93663024902344
wall_clock_time_millis
103.10220718383789
wall_clock_time_millis_testing
1.6665458679199219
wall_clock_time_millis_testing
1.6789436340332031
wall_clock_time_millis_testing
1.5997886657714844
wall_clock_time_millis_testing
1.6787052154541016
wall_clock_time_millis_testing
1.6505718231201172
wall_clock_time_millis_testing
1.6217231750488281
wall_clock_time_millis_testing
1.6541481018066406
wall_clock_time_millis_testing
1.7788410186767578
wall_clock_time_millis_testing
1.6410350799560547
wall_clock_time_millis_testing
1.6632080078125
wall_clock_time_millis_training
103.78432273864746
wall_clock_time_millis_training
97.84603118896484
wall_clock_time_millis_training
103.25932502746582
wall_clock_time_millis_training
99.98106956481934
wall_clock_time_millis_training
85.38198471069336
wall_clock_time_millis_training
109.0235710144043
wall_clock_time_millis_training
95.70002555847168
wall_clock_time_millis_training
101.66382789611816
wall_clock_time_millis_training
96.29559516906738
wall_clock_time_millis_training
101.43899917602539