10326071
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)
8181753
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
0.10358044072810794
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.1587816891292324
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
1.4548783448559142
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
54024
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
21573828
description
https://api.openml.org/data/download/21573828/description.xml
-1
21573829
predictions
https://api.openml.org/data/download/21573829/predictions.arff
area_under_roc_curve
0.5399270648531442 [0.539927,0.539927]
average_cost
0
f_measure
0.66815513643153 [0.784279,0.296296]
kappa
0.08063296178343946
kb_relative_information_score
-0.026260314270710926
mean_absolute_error
0.3302139037433155
mean_prior_absolute_error
0.3630445632798566
number_of_instances
748 [570,178]
precision
0.6665755913734271 [0.78087,0.300578]
predictive_accuracy
0.6697860962566845
prior_entropy
0.7916465694609683
recall
0.6697860962566845 [0.787719,0.292135]
relative_absolute_error
0.909568513463089
root_mean_prior_squared_error
0.4258399633559147
root_mean_squared_error
0.5746424138047204
root_relative_squared_error
1.3494327992989177
total_cost
0
area_under_roc_curve
0.47953216374269003 [0.479532,0.479532]
area_under_roc_curve
0.5862573099415205 [0.586257,0.586257]
area_under_roc_curve
0.5599415204678363 [0.559942,0.559942]
area_under_roc_curve
0.44152046783625737 [0.44152,0.44152]
area_under_roc_curve
0.6008771929824561 [0.600877,0.600877]
area_under_roc_curve
0.5248538011695907 [0.524854,0.524854]
area_under_roc_curve
0.5701754385964912 [0.570175,0.570175]
area_under_roc_curve
0.6169590643274853 [0.616959,0.616959]
area_under_roc_curve
0.5330237358101135 [0.533024,0.533024]
area_under_roc_curve
0.48297213622291024 [0.482972,0.482972]
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
0.6168476441042813 [0.743363,0.216216]
f_measure
0.7234197777144485 [0.842975,0.344828]
f_measure
0.6933050847457627 [0.813559,0.3125]
f_measure
0.6007148407148406 [0.752137,0.121212]
f_measure
0.6717667238421956 [0.754717,0.409091]
f_measure
0.6533333333333333 [0.77193,0.277778]
f_measure
0.6902857142857143 [0.8,0.342857]
f_measure
0.7117669172932332 [0.803571,0.421053]
f_measure
0.6654935592988689 [0.778761,0.285714]
f_measure
0.6406978098788444 [0.775862,0.1875]
kappa
-0.04017216642754668
kappa
0.1989881956155145
kappa
0.12974683544303786
kappa
-0.12403100775193822
kappa
0.1751269035532995
kappa
0.04970760233918129
kappa
0.14307004470938903
kappa
0.22535211267605643
kappa
0.06471183013144581
kappa
-0.03552206673842816
kb_relative_information_score
-0.19656767383903404
kb_relative_information_score
0.2160418688640812
kb_relative_information_score
0.0922590060531465
kb_relative_information_score
-0.19656767383903387
kb_relative_information_score
-0.07278481102809946
kb_relative_information_score
-0.07278481102809957
kb_relative_information_score
0.05099805178283503
kb_relative_information_score
0.09225900605314681
kb_relative_information_score
-0.06856396607722463
kb_relative_information_score
-0.11130652472031385
mean_absolute_error
0.38666666666666666
mean_absolute_error
0.25333333333333335
mean_absolute_error
0.29333333333333333
mean_absolute_error
0.38666666666666666
mean_absolute_error
0.3466666666666667
mean_absolute_error
0.3466666666666667
mean_absolute_error
0.30666666666666664
mean_absolute_error
0.29333333333333333
mean_absolute_error
0.33783783783783783
mean_absolute_error
0.35135135135135137
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
0.6205263157894737 [0.75,0.210526]
precision
0.7147159090909091 [0.796875,0.454545]
precision
0.6837470725995316 [0.786885,0.357143]
precision
0.5893333333333333 [0.733333,0.133333]
precision
0.7034850863422293 [0.816327,0.346154]
precision
0.6533333333333333 [0.77193,0.277778]
precision
0.6874645030425964 [0.793103,0.352941]
precision
0.7178181818181819 [0.818182,0.4]
precision
0.669026169026169 [0.785714,0.277778]
precision
0.6334402198808977 [0.762712,0.2]
predictive_accuracy
0.6133333333333334
predictive_accuracy
0.7466666666666667
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.6133333333333334
predictive_accuracy
0.6533333333333333
predictive_accuracy
0.6533333333333333
predictive_accuracy
0.6933333333333332
predictive_accuracy
0.7066666666666667
predictive_accuracy
0.6621621621621621
predictive_accuracy
0.6486486486486487
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
0.6133333333333333 [0.736842,0.222222]
recall
0.7466666666666667 [0.894737,0.277778]
recall
0.7066666666666667 [0.842105,0.277778]
recall
0.6133333333333333 [0.77193,0.111111]
recall
0.6533333333333333 [0.701754,0.5]
recall
0.6533333333333333 [0.77193,0.277778]
recall
0.6933333333333334 [0.807018,0.333333]
recall
0.7066666666666667 [0.789474,0.444444]
recall
0.6621621621621622 [0.77193,0.294118]
recall
0.6486486486486487 [0.789474,0.176471]
relative_absolute_error
1.0619598652409545
relative_absolute_error
0.6957668082613151
relative_absolute_error
0.8056247253552068
relative_absolute_error
1.0619598652409545
relative_absolute_error
0.9521019481470627
relative_absolute_error
0.9521019481470627
relative_absolute_error
0.8422440310531707
relative_absolute_error
0.8056247253552068
relative_absolute_error
0.9417378201908582
relative_absolute_error
0.9794073329984927
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
0.621825270205921
root_mean_squared_error
0.5033222956847166
root_mean_squared_error
0.5416025603090641
root_mean_squared_error
0.621825270205921
root_mean_squared_error
0.5887840577551898
root_mean_squared_error
0.5887840577551898
root_mean_squared_error
0.5537749241945383
root_mean_squared_error
0.5416025603090641
root_mean_squared_error
0.5812381937190964
root_mean_squared_error
0.5927489783638191
root_relative_squared_error
1.4559747180184737
root_relative_squared_error
1.1785055587870965
root_relative_squared_error
1.2681370037646376
root_relative_squared_error
1.4559747180184737
root_relative_squared_error
1.3786102680902632
root_relative_squared_error
1.3786102680902632
root_relative_squared_error
1.296638023142481
root_relative_squared_error
1.2681370037646376
root_relative_squared_error
1.3814207894816934
root_relative_squared_error
1.4087783124099813
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
30.71052299856092
usercpu_time_millis
19.76275799825089
usercpu_time_millis
38.21559000061825
usercpu_time_millis
15.92571499713813
usercpu_time_millis
39.701445999526186
usercpu_time_millis
37.07743999984814
usercpu_time_millis
38.089063000370516
usercpu_time_millis
36.626655997679336
usercpu_time_millis
26.932708999083843
usercpu_time_millis
43.07407200030866
usercpu_time_millis_testing
1.2135849974583834
usercpu_time_millis_testing
1.1533119977684692
usercpu_time_millis_testing
1.17093299922999
usercpu_time_millis_testing
1.1474149978312198
usercpu_time_millis_testing
1.18297600056394
usercpu_time_millis_testing
1.2886900003650226
usercpu_time_millis_testing
1.277961000596406
usercpu_time_millis_testing
1.1720869988494087
usercpu_time_millis_testing
1.1886899992532562
usercpu_time_millis_testing
1.1886879983649123
usercpu_time_millis_training
29.496938001102535
usercpu_time_millis_training
18.60944600048242
usercpu_time_millis_training
37.04465700138826
usercpu_time_millis_training
14.77829999930691
usercpu_time_millis_training
38.518469998962246
usercpu_time_millis_training
35.788749999483116
usercpu_time_millis_training
36.81110199977411
usercpu_time_millis_training
35.45456899882993
usercpu_time_millis_training
25.744018999830587
usercpu_time_millis_training
41.88538400194375
wall_clock_time_millis
62.732696533203125
wall_clock_time_millis
35.779476165771484
wall_clock_time_millis
38.24186325073242
wall_clock_time_millis
15.950679779052734
wall_clock_time_millis
39.717674255371094
wall_clock_time_millis
61.13314628601074
wall_clock_time_millis
70.10316848754883
wall_clock_time_millis
36.6671085357666
wall_clock_time_millis
26.9472599029541
wall_clock_time_millis
79.11467552185059
wall_clock_time_millis_testing
1.220703125
wall_clock_time_millis_testing
1.1570453643798828
wall_clock_time_millis_testing
1.1749267578125
wall_clock_time_millis_testing
1.1510848999023438
wall_clock_time_millis_testing
1.1873245239257812
wall_clock_time_millis_testing
17.301082611083984
wall_clock_time_millis_testing
1.2848377227783203
wall_clock_time_millis_testing
1.1777877807617188
wall_clock_time_millis_testing
1.195669174194336
wall_clock_time_millis_testing
1.1959075927734375
wall_clock_time_millis_training
61.511993408203125
wall_clock_time_millis_training
34.6224308013916
wall_clock_time_millis_training
37.06693649291992
wall_clock_time_millis_training
14.79959487915039
wall_clock_time_millis_training
38.53034973144531
wall_clock_time_millis_training
43.83206367492676
wall_clock_time_millis_training
68.81833076477051
wall_clock_time_millis_training
35.48932075500488
wall_clock_time_millis_training
25.751590728759766
wall_clock_time_millis_training
77.91876792907715