10370449
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)
8225796
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
7062.385681297137
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.4212472624657243
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
6464
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
21662603
description
https://api.openml.org/data/download/21662603/description.xml
-1
21662604
predictions
https://api.openml.org/data/download/21662604/predictions.arff
area_under_roc_curve
0.6174682875264269 [0.617468,0.617468]
average_cost
0
f_measure
0.9093722939718746 [0.954349,0.306569]
kappa
0.2616666549865798
kb_relative_information_score
0.07292403931496198
mean_absolute_error
0.08566275924256087
mean_prior_absolute_error
0.12988972477049396
number_of_instances
1109 [1032,77]
precision
0.9051916420035055 [0.946616,0.35]
predictive_accuracy
0.914337240757439
prior_entropy
0.36380676688852276
recall
0.9143372407574392 [0.962209,0.272727]
relative_absolute_error
0.6595037397601771
root_mean_prior_squared_error
0.25418837468358885
root_mean_squared_error
0.2926820104525744
root_relative_squared_error
1.1514374361805573
total_cost
0
area_under_roc_curve
0.5521978021978022 [0.552198,0.552198]
area_under_roc_curve
0.5377747252747251 [0.537775,0.537775]
area_under_roc_curve
0.6729368932038835 [0.672937,0.672937]
area_under_roc_curve
0.6055825242718448 [0.605583,0.605583]
area_under_roc_curve
0.7354368932038835 [0.735437,0.735437]
area_under_roc_curve
0.720873786407767 [0.720874,0.720874]
area_under_roc_curve
0.5527912621359223 [0.552791,0.552791]
area_under_roc_curve
0.6201456310679612 [0.620146,0.620146]
area_under_roc_curve
0.658373786407767 [0.658374,0.658374]
area_under_roc_curve
0.4854368932038835 [0.485437,0.485437]
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
0.902831402831403 [0.952381,0.166667]
f_measure
0.8865038951995474 [0.937198,0.133333]
f_measure
0.9231264231264232 [0.961538,0.428571]
f_measure
0.903908028908029 [0.951923,0.285714]
f_measure
0.9349871610741175 [0.966184,0.533333]
f_measure
0.914473296826238 [0.95098,0.444444]
f_measure
0.901452076807527 [0.957346,0.181818]
f_measure
0.9233516152947432 [0.966825,0.363636]
f_measure
0.9035738751664146 [0.946341,0.352941]
f_measure
0.8917748917748916 [0.952381,0]
kappa
0.120443740095087
kappa
0.07083065035415313
kappa
0.3909465020576127
kappa
0.23868312757201662
kappa
0.4996780424983901
kappa
0.39608269858541906
kappa
0.14833759590792903
kappa
0.3375959079283886
kappa
0.29948364888123913
kappa
-0.039697542533082136
kb_relative_information_score
-0.043048486586290846
kb_relative_information_score
-0.35596303256217887
kb_relative_information_score
0.24054978103079175
kb_relative_information_score
0.05068722628848979
kb_relative_information_score
0.33548105840194287
kb_relative_information_score
0.05068722628848931
kb_relative_information_score
0.1456185036596412
kb_relative_information_score
0.3354810584019428
kb_relative_information_score
-0.04424405108266132
kb_relative_information_score
-0.045958473095770024
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.11711711711711711
mean_absolute_error
0.07207207207207207
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.06306306306306306
mean_absolute_error
0.09009009009009009
mean_absolute_error
0.08108108108108109
mean_absolute_error
0.06306306306306306
mean_absolute_error
0.0990990990990991
mean_absolute_error
0.09090909090909091
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
0.8965153833078362 [0.943396,0.2]
precision
0.8902409691244643 [0.941748,0.125]
precision
0.9197769197769197 [0.952381,0.5]
precision
0.898927498927499 [0.942857,0.333333]
precision
0.9334224334224335 [0.961538,0.571429]
precision
0.92000713584872 [0.960396,0.4]
precision
0.8918084751418085 [0.935185,0.333333]
precision
0.9244244244244243 [0.944444,0.666667]
precision
0.9064652888182301 [0.95098,0.333333]
precision
0.875106202209006 [0.934579,0]
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.8828828828828829
predictive_accuracy
0.927927927927928
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9099099099099099
predictive_accuracy
0.9189189189189189
predictive_accuracy
0.9369369369369369
predictive_accuracy
0.9009009009009009
predictive_accuracy
0.9090909090909091
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
0.9099099099099099 [0.961538,0.142857]
recall
0.8828828828828829 [0.932692,0.142857]
recall
0.9279279279279279 [0.970874,0.375]
recall
0.9099099099099099 [0.961165,0.25]
recall
0.9369369369369369 [0.970874,0.5]
recall
0.9099099099099099 [0.941748,0.5]
recall
0.918918918918919 [0.980583,0.125]
recall
0.9369369369369369 [0.990291,0.25]
recall
0.9009009009009009 [0.941748,0.375]
recall
0.9090909090909091 [0.970874,0]
relative_absolute_error
0.7241087140715641
relative_absolute_error
0.9413413282930333
relative_absolute_error
0.5453429868695547
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.4771751135108604
relative_absolute_error
0.6816787335869435
relative_absolute_error
0.6135108602282492
relative_absolute_error
0.4771751135108604
relative_absolute_error
0.7498466069456378
relative_absolute_error
0.727808712741566
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
0.3001501125938321
root_mean_squared_error
0.34222378222022665
root_mean_squared_error
0.2684624220856097
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.2511236011669613
root_mean_squared_error
0.3001501125938321
root_mean_squared_error
0.2847473987257497
root_mean_squared_error
0.2511236011669613
root_mean_squared_error
0.3148000938676784
root_mean_squared_error
0.30151134457776363
root_relative_squared_error
1.2342647272511982
root_relative_squared_error
1.4072783100785065
root_relative_squared_error
1.0380818149236974
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
0.9710366227212378
root_relative_squared_error
1.1606107521878715
root_relative_squared_error
1.1010520361384777
root_relative_squared_error
0.9710366227212378
root_relative_squared_error
1.2172588261760549
root_relative_squared_error
1.2347283884045213
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
59.430350998809445
usercpu_time_millis
79.52783800010366
usercpu_time_millis
50.72070000005624
usercpu_time_millis
60.906852000698564
usercpu_time_millis
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usercpu_time_millis
83.91019400005462
usercpu_time_millis
73.12892900063162
usercpu_time_millis
77.24096899983124
usercpu_time_millis
74.3566010005452
usercpu_time_millis
69.88094300049852
usercpu_time_millis_testing
3.218848999495094
usercpu_time_millis_testing
2.9730240003118524
usercpu_time_millis_testing
2.5274700001318706
usercpu_time_millis_testing
3.090705000431626
usercpu_time_millis_testing
3.0036600001039915
usercpu_time_millis_testing
2.987629999552155
usercpu_time_millis_testing
3.0726009999852977
usercpu_time_millis_testing
3.0067159996178816
usercpu_time_millis_testing
2.5195730004270445
usercpu_time_millis_testing
2.462250000462518
usercpu_time_millis_training
56.21150199931435
usercpu_time_millis_training
76.5548139997918
usercpu_time_millis_training
48.19322999992437
usercpu_time_millis_training
57.81614700026694
usercpu_time_millis_training
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usercpu_time_millis_training
80.92256400050246
usercpu_time_millis_training
70.05632800064632
usercpu_time_millis_training
74.23425300021336
usercpu_time_millis_training
71.83702800011815
usercpu_time_millis_training
67.418693000036
wall_clock_time_millis
59.43799018859863
wall_clock_time_millis
79.53691482543945
wall_clock_time_millis
50.72951316833496
wall_clock_time_millis
60.91451644897461
wall_clock_time_millis
76.94578170776367
wall_clock_time_millis
83.91904830932617
wall_clock_time_millis
73.14801216125488
wall_clock_time_millis
77.24881172180176
wall_clock_time_millis
74.36609268188477
wall_clock_time_millis
69.88954544067383
wall_clock_time_millis_testing
3.2210350036621094
wall_clock_time_millis_testing
2.9761791229248047
wall_clock_time_millis_testing
2.5305747985839844
wall_clock_time_millis_testing
3.093719482421875
wall_clock_time_millis_testing
3.006458282470703
wall_clock_time_millis_testing
2.99072265625
wall_clock_time_millis_testing
3.0755996704101562
wall_clock_time_millis_testing
3.009319305419922
wall_clock_time_millis_testing
2.522706985473633
wall_clock_time_millis_testing
2.465486526489258
wall_clock_time_millis_training
56.21695518493652
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
73.93932342529297
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
67.42405891418457