10559304
8323
Heinrich Peters
37
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270144
copy
true
17405
with_mean
true
17405
with_std
true
17405
add_indicator
false
17407
copy
true
17407
fill_value
null
17407
missing_values
NaN
17407
strategy
"median"
17407
verbose
0
17407
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
13917.287565392886
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.030380904322180546
17495
decision_function_shape
"ovr"
17495
degree
5
17495
gamma
0.0011255179130262153
17495
kernel
"poly"
17495
max_iter
-1
17495
probability
true
17495
random_state
1
17495
shrinking
true
17495
tol
0.001
17495
verbose
false
17495
openml-python
Sklearn_0.21.2.
37
diabetes
https://www.openml.org/data/download/37/dataset_37_diabetes.arff
-1
22043573
description
https://api.openml.org/data/download/22043573/description.xml
-1
22043574
predictions
https://api.openml.org/data/download/22043574/predictions.arff
area_under_roc_curve
0.8246044776119402 [0.824604,0.824604]
average_cost
0
f_measure
0.7486768430610424 [0.825188,0.605932]
kappa
0.43572241183162685
kb_relative_information_score
0.28128904726479254
mean_absolute_error
0.3370898175298825
mean_prior_absolute_error
0.4544913419913401
weighted_recall
0.7578125 [0.878,0.533582]
number_of_instances
768 [500,268]
precision
0.7513634664858851 [0.778369,0.70098]
predictive_accuracy
0.7578125
prior_entropy
0.9331348051619819
relative_absolute_error
0.7416858945055667
root_mean_prior_squared_error
0.4766409223329586
root_mean_squared_error
0.4032121320795155
root_relative_squared_error
0.8459452665246623
total_cost
0
unweighted_recall
0.7057910447761194 [0.878,0.533582]
area_under_roc_curve
0.9118518518518518 [0.911852,0.911852]
area_under_roc_curve
0.7207407407407408 [0.720741,0.720741]
area_under_roc_curve
0.8392592592592591 [0.839259,0.839259]
area_under_roc_curve
0.8125925925925926 [0.812593,0.812593]
area_under_roc_curve
0.8125925925925926 [0.812593,0.812593]
area_under_roc_curve
0.8866666666666667 [0.886667,0.886667]
area_under_roc_curve
0.8222222222222221 [0.822222,0.822222]
area_under_roc_curve
0.8703703703703703 [0.87037,0.87037]
area_under_roc_curve
0.8357692307692307 [0.835769,0.835769]
area_under_roc_curve
0.7723076923076925 [0.772308,0.772308]
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
0.7613786213786213 [0.826923,0.64]
f_measure
0.6664899726124217 [0.761905,0.489796]
f_measure
0.7429428793517082 [0.82243,0.595745]
f_measure
0.6818295739348371 [0.807018,0.45]
f_measure
0.7429428793517082 [0.82243,0.595745]
f_measure
0.8426867250396664 [0.882353,0.769231]
f_measure
0.7732131813764467 [0.838095,0.653061]
f_measure
0.7899303713257201 [0.864865,0.651163]
f_measure
0.7607430340557275 [0.823529,0.64]
f_measure
0.7112313494015413 [0.803738,0.533333]
kappa
0.468558282208589
kappa
0.2553191489361703
kappa
0.4237888932650651
kappa
0.28763666947014305
kappa
0.4237888932650651
kappa
0.6518462697814618
kappa
0.4936170212765959
kappa
0.5279934613812833
kappa
0.4639498432601882
kappa
0.34375000000000006
kb_relative_information_score
0.35863280614334486
kb_relative_information_score
0.17961590179059858
kb_relative_information_score
0.2531747082057174
kb_relative_information_score
0.2464114993435955
kb_relative_information_score
0.2724666553278095
kb_relative_information_score
0.343607105721176
kb_relative_information_score
0.32384420069798625
kb_relative_information_score
0.3273917005071953
kb_relative_information_score
0.2793085744699361
kb_relative_information_score
0.22725643816619512
mean_absolute_error
0.3063820701714116
mean_absolute_error
0.3743061948046147
mean_absolute_error
0.35295031034739716
mean_absolute_error
0.3463336078716472
mean_absolute_error
0.3401229342039194
mean_absolute_error
0.3163966218089923
mean_absolute_error
0.3197745722040728
mean_absolute_error
0.32412510031642205
mean_absolute_error
0.33664278052671287
mean_absolute_error
0.3540788136819328
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.4550008433125322
mean_prior_absolute_error
0.45242652084757423
mean_prior_absolute_error
0.45242652084757423
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
77 [50,27]
number_of_instances
76 [50,26]
number_of_instances
76 [50,26]
precision
0.7610055001359349 [0.796296,0.695652]
precision
0.6635182998819362 [0.727273,0.545455]
precision
0.7467076782866255 [0.77193,0.7]
precision
0.709478021978022 [0.71875,0.692308]
precision
0.7467076782866255 [0.77193,0.7]
precision
0.8424575424575425 [0.865385,0.8]
precision
0.7744982290436836 [0.8,0.727273]
precision
0.8177826272088567 [0.786885,0.875]
precision
0.75944669365722 [0.807692,0.666667]
precision
0.7123730378578024 [0.754386,0.631579]
predictive_accuracy
0.7662337662337663
predictive_accuracy
0.6753246753246753
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.7142857142857143
predictive_accuracy
0.7532467532467533
predictive_accuracy
0.8441558441558442
predictive_accuracy
0.7792207792207791
predictive_accuracy
0.8051948051948052
predictive_accuracy
0.763157894736842
predictive_accuracy
0.7236842105263157
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9346519933901933
prior_entropy
0.9269862002370954
prior_entropy
0.9269862002370954
relative_absolute_error
0.6733659391504975
relative_absolute_error
0.8226494528659812
relative_absolute_error
0.7757135300625403
relative_absolute_error
0.7611713537720998
relative_absolute_error
0.7475215468343535
relative_absolute_error
0.6953759019555595
relative_absolute_error
0.702799954997941
relative_absolute_error
0.7123615375230989
relative_absolute_error
0.7440827736978095
relative_absolute_error
0.782621701792819
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4771750938215478
root_mean_prior_squared_error
0.4744699650121647
root_mean_prior_squared_error
0.4744699650121647
root_mean_squared_error
0.36300261080431545
root_mean_squared_error
0.4667794664366027
root_mean_squared_error
0.4149227834649611
root_mean_squared_error
0.4166603573911396
root_mean_squared_error
0.40366056155133667
root_mean_squared_error
0.3632203978166412
root_mean_squared_error
0.39282659763146555
root_mean_squared_error
0.385272553969989
root_mean_squared_error
0.3942164255817139
root_mean_squared_error
0.4212532936509759
root_relative_squared_error
0.7607325183239128
root_relative_squared_error
0.9782142288657822
root_relative_squared_error
0.8695399002114145
root_relative_squared_error
0.8731812761941022
root_relative_squared_error
0.8459380356978484
root_relative_squared_error
0.761188927334244
root_relative_squared_error
0.8232336572419124
root_relative_squared_error
0.8074028987650217
root_relative_squared_error
0.8308564390827283
root_relative_squared_error
0.8878397469061622
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
0.7262962962962962 [0.86,0.592593]
unweighted_recall
0.6222222222222222 [0.8,0.444444]
unweighted_recall
0.6992592592592592 [0.88,0.518519]
unweighted_recall
0.6266666666666667 [0.92,0.333333]
unweighted_recall
0.6992592592592592 [0.88,0.518519]
unweighted_recall
0.8203703703703704 [0.9,0.740741]
unweighted_recall
0.7362962962962962 [0.88,0.592593]
unweighted_recall
0.7392592592592593 [0.96,0.518519]
unweighted_recall
0.7276923076923076 [0.84,0.615385]
unweighted_recall
0.6607692307692308 [0.86,0.461538]
usercpu_time_millis
53.12000000049011
usercpu_time_millis
54.597999999714375
usercpu_time_millis
55.43799999941257
usercpu_time_millis
52.27600000034727
usercpu_time_millis
53.589999999530846
usercpu_time_millis
52.779999999984284
usercpu_time_millis
53.03199999980279
usercpu_time_millis
51.674000000275555
usercpu_time_millis
54.754000000684755
usercpu_time_millis
58.4420000004684
usercpu_time_millis_testing
1.8180000006395858
usercpu_time_millis_testing
1.3639999997394625
usercpu_time_millis_testing
1.3719999997192645
usercpu_time_millis_testing
3.404000000045926
usercpu_time_millis_testing
1.5880000000834116
usercpu_time_millis_testing
1.667999999881431
usercpu_time_millis_testing
1.3699999999516876
usercpu_time_millis_testing
1.352000000224507
usercpu_time_millis_testing
1.2900000001536682
usercpu_time_millis_testing
1.5080000002853922
usercpu_time_millis_training
51.30199999985052
usercpu_time_millis_training
53.23399999997491
usercpu_time_millis_training
54.065999999693304
usercpu_time_millis_training
48.87200000030134
usercpu_time_millis_training
52.001999999447435
usercpu_time_millis_training
51.11200000010285
usercpu_time_millis_training
51.661999999851105
usercpu_time_millis_training
50.32200000005105
usercpu_time_millis_training
53.46400000053109
usercpu_time_millis_training
56.934000000183005
wall_clock_time_millis
27.33016014099121
wall_clock_time_millis
28.078794479370117
wall_clock_time_millis
29.308319091796875
wall_clock_time_millis
27.369976043701172
wall_clock_time_millis
27.421951293945312
wall_clock_time_millis
27.040958404541016
wall_clock_time_millis
27.12702751159668
wall_clock_time_millis
26.347875595092773
wall_clock_time_millis
28.00607681274414
wall_clock_time_millis
29.90412712097168
wall_clock_time_millis_testing
0.92315673828125
wall_clock_time_millis_testing
0.6840229034423828
wall_clock_time_millis_testing
0.6883144378662109
wall_clock_time_millis_testing
2.2399425506591797
wall_clock_time_millis_testing
0.8120536804199219
wall_clock_time_millis_testing
0.8869171142578125
wall_clock_time_millis_testing
0.6871223449707031
wall_clock_time_millis_testing
0.6780624389648438
wall_clock_time_millis_testing
0.6468296051025391
wall_clock_time_millis_testing
0.7610321044921875
wall_clock_time_millis_training
26.40700340270996
wall_clock_time_millis_training
27.394771575927734
wall_clock_time_millis_training
28.620004653930664
wall_clock_time_millis_training
25.130033493041992
wall_clock_time_millis_training
26.60989761352539
wall_clock_time_millis_training
26.154041290283203
wall_clock_time_millis_training
26.439905166625977
wall_clock_time_millis_training
25.66981315612793
wall_clock_time_millis_training
27.3592472076416
wall_clock_time_millis_training
29.143095016479492
weighted_recall
0.7662337662337663 [0.86,0.592593]
weighted_recall
0.6753246753246753 [0.8,0.444444]
weighted_recall
0.7532467532467533 [0.88,0.518519]
weighted_recall
0.7142857142857143 [0.92,0.333333]
weighted_recall
0.7532467532467533 [0.88,0.518519]
weighted_recall
0.8441558441558441 [0.9,0.740741]
weighted_recall
0.7792207792207793 [0.88,0.592593]
weighted_recall
0.8051948051948052 [0.96,0.518519]
weighted_recall
0.7631578947368421 [0.84,0.615385]
weighted_recall
0.7236842105263158 [0.86,0.461538]