10559085
8323
Heinrich Peters
15
Supervised Classification
17494
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4)
8270224
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
547.0836590063223
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.7039368935060544
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.003970623713474363
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.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
22043134
description
https://api.openml.org/data/download/22043134/description.xml
-1
22043135
predictions
https://api.openml.org/data/download/22043135/predictions.arff
area_under_roc_curve
0.993277645907699 [0.993278,0.993278]
average_cost
0
f_measure
0.9614656785326786 [0.970362,0.944559]
kappa
0.914925554789241
kb_relative_information_score
0.882289917906903
mean_absolute_error
0.05724224604644311
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9613733905579399 [0.965066,0.954357]
number_of_instances
699 [458,241]
precision
0.9616649362639492 [0.975717,0.934959]
predictive_accuracy
0.9613733905579399
prior_entropy
0.92931856324281
relative_absolute_error
0.1266561753878261
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.1612917781393023
root_relative_squared_error
0.33935008061420224
total_cost
0
unweighted_recall
0.9597111743282176 [0.965066,0.954357]
area_under_roc_curve
0.9972826086956522 [0.997283,0.997283]
area_under_roc_curve
0.9773550724637681 [0.977355,0.977355]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.9963768115942029 [0.996377,0.996377]
area_under_roc_curve
0.9981884057971013 [0.998188,0.998188]
area_under_roc_curve
0.986413043478261 [0.986413,0.986413]
area_under_roc_curve
0.9875555555555554 [0.987556,0.987556]
area_under_roc_curve
0.9962962962962962 [0.996296,0.996296]
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
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9573446961202065 [0.967033,0.938776]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9437562437562438 [0.954545,0.923077]
f_measure
0.985781565373402 [0.989011,0.979592]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9433650793650794 [0.955556,0.92]
f_measure
0.9282350302758465 [0.945055,0.897959]
f_measure
0.9712648221343874 [0.977273,0.96]
kappa
0.9365942028985507
kappa
0.9058295964125561
kappa
0.9353049907578558
kappa
0.8780487804878049
kappa
0.9686098654708521
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.8756660746003552
kappa
0.8430493273542602
kappa
0.9373297002724795
kb_relative_information_score
0.8882903652422204
kb_relative_information_score
0.8637811165369014
kb_relative_information_score
0.9297156889070783
kb_relative_information_score
0.8709400844798278
kb_relative_information_score
0.9207801163454918
kb_relative_information_score
0.9045932670196213
kb_relative_information_score
0.8837582983241363
kb_relative_information_score
0.8471742746071602
kb_relative_information_score
0.8360123679463805
kb_relative_information_score
0.8784759291414391
mean_absolute_error
0.056658910636304655
mean_absolute_error
0.06719161421802575
mean_absolute_error
0.034424239299471034
mean_absolute_error
0.059690698822476004
mean_absolute_error
0.041268302556272674
mean_absolute_error
0.04669006326604891
mean_absolute_error
0.0575840894747999
mean_absolute_error
0.07055521979450756
mean_absolute_error
0.07732965733155052
mean_absolute_error
0.06108455519567717
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45135520684736086
mean_prior_absolute_error
0.45577746077032805
mean_prior_absolute_error
0.45289338212491465
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [46,24]
number_of_instances
70 [45,25]
number_of_instances
69 [45,24]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9579682539682539 [0.977778,0.92]
precision
0.9726190476190477 [0.958333,1]
precision
0.9510204081632653 [1,0.857143]
precision
0.9862857142857142 [1,0.96]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9455044955044954 [0.977273,0.884615]
precision
0.9283126293995859 [0.934783,0.916667]
precision
0.9732441471571908 [1,0.923077]
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9710144927536232
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9275444412731174
prior_entropy
0.9407371142179634
prior_entropy
0.9321331970800204
relative_absolute_error
0.1255306458787913
relative_absolute_error
0.14886637663348942
relative_absolute_error
0.07626862120394816
relative_absolute_error
0.13224772400302048
relative_absolute_error
0.0914319851199341
relative_absolute_error
0.10344416671776324
relative_absolute_error
0.12758042579593784
relative_absolute_error
0.1563186127558464
relative_absolute_error
0.16966538275247864
relative_absolute_error
0.13487623711584543
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.47467010734022363
root_mean_prior_squared_error
0.4793057111336632
root_mean_prior_squared_error
0.4762876085727333
root_mean_squared_error
0.14652592830974553
root_mean_squared_error
0.18656313324250173
root_mean_squared_error
0.1136069933278109
root_mean_squared_error
0.16894660589558338
root_mean_squared_error
0.1071585145471308
root_mean_squared_error
0.1561316319257991
root_mean_squared_error
0.14504174616603097
root_mean_squared_error
0.19507373733144154
root_mean_squared_error
0.19907405245578735
root_mean_squared_error
0.16694413188890558
root_relative_squared_error
0.30869002712387345
root_relative_squared_error
0.3930374598221352
root_relative_squared_error
0.23933884095714114
root_relative_squared_error
0.35592425830702146
root_relative_squared_error
0.22575366110072753
root_relative_squared_error
0.3289266155829157
root_relative_squared_error
0.3055632615644598
root_relative_squared_error
0.41096697330388415
root_relative_squared_error
0.41533836929448126
root_relative_squared_error
0.3505111803961865
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
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.957427536231884 [0.956522,0.958333]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.9565217391304348 [0.913043,1]
unweighted_recall
0.9891304347826086 [0.978261,1]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.9583333333333333 [1,0.916667]
unweighted_recall
0.9465579710144928 [0.934783,0.958333]
unweighted_recall
0.9177777777777778 [0.955556,0.88]
unweighted_recall
0.9777777777777779 [0.955556,1]
usercpu_time_millis
31.87400000024354
usercpu_time_millis
24.148000000423053
usercpu_time_millis
26.168000000325264
usercpu_time_millis
25.442000001930865
usercpu_time_millis
25.824000000284286
usercpu_time_millis
25.708000001031905
usercpu_time_millis
25.0080000005255
usercpu_time_millis
26.114000000234228
usercpu_time_millis
25.556000000506174
usercpu_time_millis
24.82399999644258
usercpu_time_millis_testing
0.8659999984956812
usercpu_time_millis_testing
0.7279999990714714
usercpu_time_millis_testing
0.8300000008603092
usercpu_time_millis_testing
0.6960000027902424
usercpu_time_millis_testing
0.7120000009308569
usercpu_time_millis_testing
0.6439999997382984
usercpu_time_millis_testing
0.7200000000011642
usercpu_time_millis_testing
0.7900000018707942
usercpu_time_millis_testing
0.7499999992433004
usercpu_time_millis_testing
0.8639999978186097
usercpu_time_millis_training
31.00800000174786
usercpu_time_millis_training
23.420000001351582
usercpu_time_millis_training
25.337999999464955
usercpu_time_millis_training
24.745999999140622
usercpu_time_millis_training
25.11199999935343
usercpu_time_millis_training
25.064000001293607
usercpu_time_millis_training
24.288000000524335
usercpu_time_millis_training
25.323999998363433
usercpu_time_millis_training
24.806000001262873
usercpu_time_millis_training
23.95999999862397
wall_clock_time_millis
15.982627868652344
wall_clock_time_millis
12.125492095947266
wall_clock_time_millis
13.238906860351562
wall_clock_time_millis
12.812137603759766
wall_clock_time_millis
13.007640838623047
wall_clock_time_millis
12.877941131591797
wall_clock_time_millis
12.542963027954102
wall_clock_time_millis
13.030052185058594
wall_clock_time_millis
12.932777404785156
wall_clock_time_millis
12.617111206054688
wall_clock_time_millis_testing
0.4353523254394531
wall_clock_time_millis_testing
0.3662109375
wall_clock_time_millis_testing
0.41794776916503906
wall_clock_time_millis_testing
0.34999847412109375
wall_clock_time_millis_testing
0.35881996154785156
wall_clock_time_millis_testing
0.32401084899902344
wall_clock_time_millis_testing
0.36406517028808594
wall_clock_time_millis_testing
0.3979206085205078
wall_clock_time_millis_testing
0.37789344787597656
wall_clock_time_millis_testing
0.43702125549316406
wall_clock_time_millis_training
15.54727554321289
wall_clock_time_millis_training
11.759281158447266
wall_clock_time_millis_training
12.820959091186523
wall_clock_time_millis_training
12.462139129638672
wall_clock_time_millis_training
12.648820877075195
wall_clock_time_millis_training
12.553930282592773
wall_clock_time_millis_training
12.178897857666016
wall_clock_time_millis_training
12.632131576538086
wall_clock_time_millis_training
12.55488395690918
wall_clock_time_millis_training
12.180089950561523
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9571428571428572 [0.956522,0.958333]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9428571428571428 [0.913043,1]
weighted_recall
0.9857142857142858 [0.978261,1]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9714285714285714 [1,0.916667]
weighted_recall
0.9428571428571428 [0.934783,0.958333]
weighted_recall
0.9285714285714286 [0.955556,0.88]
weighted_recall
0.9710144927536232 [0.955556,1]