10323303
8323
Heinrich Peters
10101
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8178995
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
9.62953169042274
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.037086661651597304
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
55732
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.
1464
blood-transfusion-service-center
https://www.openml.org/data/download/1586225/php0iVrYT
-1
21568292
description
https://api.openml.org/data/download/21568292/description.xml
-1
21568293
predictions
https://api.openml.org/data/download/21568293/predictions.arff
area_under_roc_curve
0.5335403114527892 [0.53354,0.53354]
average_cost
0
f_measure
0.6953627513410371 [0.864236,0.154589]
kappa
0.09419286979627971
kb_relative_information_score
0.2728924898891723
mean_absolute_error
0.2339572192513369
mean_prior_absolute_error
0.3630445632798566
number_of_instances
748 [570,178]
precision
0.7216290425291546 [0.774687,0.551724]
predictive_accuracy
0.7660427807486632
prior_entropy
0.7916465694609683
recall
0.766042780748663 [0.977193,0.089888]
relative_absolute_error
0.6444311330204071
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.4836912437199343
root_relative_squared_error
1.1358521635877277
total_cost
0
area_under_roc_curve
0.5014619883040936 [0.501462,0.501462]
area_under_roc_curve
0.5555555555555556 [0.555556,0.555556]
area_under_roc_curve
0.4824561403508772 [0.482456,0.482456]
area_under_roc_curve
0.5014619883040936 [0.501462,0.501462]
area_under_roc_curve
0.6023391812865497 [0.602339,0.602339]
area_under_roc_curve
0.5277777777777778 [0.527778,0.527778]
area_under_roc_curve
0.5833333333333334 [0.583333,0.583333]
area_under_roc_curve
0.5380116959064327 [0.538012,0.538012]
area_under_roc_curve
0.5206398348813209 [0.52064,0.52064]
area_under_roc_curve
0.5206398348813209 [0.52064,0.52064]
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
0.6630681818181817 [0.84375,0.090909]
f_measure
0.7144615384615385 [0.876923,0.2]
f_measure
0.6430769230769231 [0.846154,0]
f_measure
0.6630681818181817 [0.84375,0.090909]
f_measure
0.7537144813420061 [0.88189,0.347826]
f_measure
0.6866372036962636 [0.870229,0.105263]
f_measure
0.7401993355481727 [0.883721,0.285714]
f_measure
0.6967613636363637 [0.859375,0.181818]
f_measure
0.6929438618545106 [0.868217,0.105263]
f_measure
0.6929438618545106 [0.868217,0.105263]
kappa
0.003984063745019896
kappa
0.1596638655462184
kappa
-0.05042016806722702
kappa
0.003984063745019896
kappa
0.2718446601941748
kappa
0.08207343412526993
kappa
0.23312883435582848
kappa
0.10358565737051811
kappa
0.059790732436472524
kappa
0.059790732436472524
kb_relative_information_score
0.17478091459376952
kb_relative_information_score
0.3398247316750158
kb_relative_information_score
0.1747809145937695
kb_relative_information_score
0.1747809145937695
kb_relative_information_score
0.3810856859453275
kb_relative_information_score
0.29856377740470424
kb_relative_information_score
0.3810856859453275
kb_relative_information_score
0.2573028231343927
kb_relative_information_score
0.27337650306748723
kb_relative_information_score
0.27337650306748723
mean_absolute_error
0.26666666666666666
mean_absolute_error
0.21333333333333335
mean_absolute_error
0.26666666666666666
mean_absolute_error
0.26666666666666666
mean_absolute_error
0.2
mean_absolute_error
0.22666666666666666
mean_absolute_error
0.2
mean_absolute_error
0.24
mean_absolute_error
0.22972972972972974
mean_absolute_error
0.22972972972972974
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.36410666666666686
mean_prior_absolute_error
0.35873873873873896
mean_prior_absolute_error
0.35873873873873896
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
75 [57,18]
number_of_instances
74 [57,17]
number_of_instances
74 [57,17]
precision
0.6380281690140844 [0.760563,0.25]
precision
0.8334246575342465 [0.780822,1]
precision
0.5726027397260274 [0.753425,0]
precision
0.6380281690140844 [0.760563,0.25]
precision
0.8 [0.8,0.8]
precision
0.8254054054054054 [0.77027,1]
precision
0.8416666666666667 [0.791667,1]
precision
0.7087323943661972 [0.774648,0.5]
precision
0.713963963963964 [0.777778,0.5]
precision
0.713963963963964 [0.777778,0.5]
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7866666666666667
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.7333333333333333
predictive_accuracy
0.8
predictive_accuracy
0.7733333333333333
predictive_accuracy
0.8
predictive_accuracy
0.76
predictive_accuracy
0.7702702702702703
predictive_accuracy
0.7702702702702703
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7950473279640615
prior_entropy
0.7778597106646706
prior_entropy
0.7778597106646706
recall
0.7333333333333333 [0.947368,0.055556]
recall
0.7866666666666666 [1,0.111111]
recall
0.7333333333333333 [0.964912,0]
recall
0.7333333333333333 [0.947368,0.055556]
recall
0.8 [0.982456,0.222222]
recall
0.7733333333333333 [1,0.055556]
recall
0.8 [1,0.166667]
recall
0.76 [0.964912,0.111111]
recall
0.7702702702702703 [0.982456,0.058824]
recall
0.7702702702702703 [0.982456,0.058824]
relative_absolute_error
0.732386113959279
relative_absolute_error
0.5859088911674233
relative_absolute_error
0.732386113959279
relative_absolute_error
0.732386113959279
relative_absolute_error
0.5492895854694592
relative_absolute_error
0.6225281968653871
relative_absolute_error
0.5492895854694592
relative_absolute_error
0.6591475025633511
relative_absolute_error
0.6403817177297837
relative_absolute_error
0.6403817177297837
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4270852113779844
root_mean_prior_squared_error
0.4207539065176338
root_mean_prior_squared_error
0.4207539065176338
root_mean_squared_error
0.5163977794943222
root_mean_squared_error
0.46188021535170065
root_mean_squared_error
0.5163977794943222
root_mean_squared_error
0.5163977794943222
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.4760952285695233
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.4898979485566356
root_mean_squared_error
0.4793012932694108
root_mean_squared_error
0.4793012932694108
root_relative_squared_error
1.2091211911275788
root_relative_squared_error
1.0814708705587128
root_relative_squared_error
1.2091211911275788
root_relative_squared_error
1.2091211911275788
root_relative_squared_error
1.0471296677705828
root_relative_squared_error
1.1147546575855642
root_relative_squared_error
1.0471296677705828
root_relative_squared_error
1.147073079341677
root_relative_squared_error
1.139148765691432
root_relative_squared_error
1.139148765691432
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
26.674936998460907
usercpu_time_millis
27.837412999360822
usercpu_time_millis
24.333113000466255
usercpu_time_millis
27.37627599708503
usercpu_time_millis
26.467601001058938
usercpu_time_millis
25.77037199807819
usercpu_time_millis
26.75931899648276
usercpu_time_millis
27.89690999998129
usercpu_time_millis
25.503065997327212
usercpu_time_millis
25.810491999436636
usercpu_time_millis_testing
2.1234359992376994
usercpu_time_millis_testing
2.1590750002360437
usercpu_time_millis_testing
2.1982149992254563
usercpu_time_millis_testing
2.1569519994955044
usercpu_time_millis_testing
2.098771001328714
usercpu_time_millis_testing
2.1572189980361145
usercpu_time_millis_testing
2.1741579985246062
usercpu_time_millis_testing
2.1220989983703475
usercpu_time_millis_testing
2.0746329973917454
usercpu_time_millis_testing
2.131887998984894
usercpu_time_millis_training
24.551500999223208
usercpu_time_millis_training
25.67833799912478
usercpu_time_millis_training
22.1348980012408
usercpu_time_millis_training
25.219323997589527
usercpu_time_millis_training
24.368829999730224
usercpu_time_millis_training
23.613153000042075
usercpu_time_millis_training
24.585160997958155
usercpu_time_millis_training
25.774811001610942
usercpu_time_millis_training
23.428432999935467
usercpu_time_millis_training
23.67860400045174
wall_clock_time_millis
26.74245834350586
wall_clock_time_millis
27.92954444885254
wall_clock_time_millis
24.433374404907227
wall_clock_time_millis
27.460098266601562
wall_clock_time_millis
26.499032974243164
wall_clock_time_millis
25.787830352783203
wall_clock_time_millis
26.777029037475586
wall_clock_time_millis
27.937650680541992
wall_clock_time_millis
25.54941177368164
wall_clock_time_millis
25.853633880615234
wall_clock_time_millis_testing
2.131938934326172
wall_clock_time_millis_testing
2.1848678588867188
wall_clock_time_millis_testing
2.2072792053222656
wall_clock_time_millis_testing
2.1843910217285156
wall_clock_time_millis_testing
2.1071434020996094
wall_clock_time_millis_testing
2.1653175354003906
wall_clock_time_millis_testing
2.1810531616210938
wall_clock_time_millis_testing
2.1305084228515625
wall_clock_time_millis_testing
2.0821094512939453
wall_clock_time_millis_testing
2.1393299102783203
wall_clock_time_millis_training
24.610519409179688
wall_clock_time_millis_training
25.74467658996582
wall_clock_time_millis_training
22.22609519958496
wall_clock_time_millis_training
25.275707244873047
wall_clock_time_millis_training
24.391889572143555
wall_clock_time_millis_training
23.622512817382812
wall_clock_time_millis_training
24.595975875854492
wall_clock_time_millis_training
25.80714225769043
wall_clock_time_millis_training
23.467302322387695
wall_clock_time_millis_training
23.714303970336914