10559100
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)
8270380
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
48.87822691420151
17495
cache_size
200
17495
class_weight
null
17495
coef0
0.8702718498857454
17495
decision_function_shape
"ovr"
17495
degree
2
17495
gamma
0.29017877561467303
17495
kernel
"rbf"
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
22043164
description
https://api.openml.org/data/download/22043164/description.xml
-1
22043165
predictions
https://api.openml.org/data/download/22043165/predictions.arff
area_under_roc_curve
0.989834930873906 [0.989835,0.989835]
average_cost
0
f_measure
0.9516270268222787 [0.962389,0.931174]
kappa
0.8935977793696275
kb_relative_information_score
0.8636929949073624
mean_absolute_error
0.06483952840645667
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9513590844062947 [0.949782,0.954357]
number_of_instances
699 [458,241]
precision
0.9524963447286818 [0.975336,0.909091]
predictive_accuracy
0.9513590844062947
prior_entropy
0.92931856324281
relative_absolute_error
0.14346618536332575
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.18124552811970396
root_relative_squared_error
0.38133180307098363
total_cost
0
unweighted_recall
0.9520692529308377 [0.949782,0.954357]
area_under_roc_curve
0.9927536231884058 [0.992754,0.992754]
area_under_roc_curve
0.9927536231884058 [0.992754,0.992754]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9818840579710145 [0.981884,0.981884]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9855072463768116 [0.985507,0.985507]
area_under_roc_curve
0.9927536231884058 [0.992754,0.992754]
area_under_roc_curve
0.9818840579710145 [0.981884,0.981884]
area_under_roc_curve
0.9777777777777777 [0.977778,0.977778]
area_under_roc_curve
0.9935185185185185 [0.993519,0.993519]
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
0.9433650793650794 [0.955556,0.92]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
1 [1,1]
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
0.9133342143517906 [0.93617,0.869565]
f_measure
0.915047619047619 [0.933333,0.88]
f_measure
0.9428571428571428 [0.955556,0.92]
f_measure
0.9284181438692417 [0.942529,0.901961]
kappa
0.8756660746003552
kappa
0.9378330373001776
kappa
1
kappa
0.8780487804878049
kappa
0.9686098654708521
kappa
0.9365942028985507
kappa
0.8059149722735673
kappa
0.8134991119005328
kappa
0.8755555555555555
kappa
0.844804318488529
kb_relative_information_score
0.8427854684047835
kb_relative_information_score
0.8893479790432578
kb_relative_information_score
0.9462259071873307
kb_relative_information_score
0.8515455371376573
kb_relative_information_score
0.9188972950282678
kb_relative_information_score
0.8875558078625457
kb_relative_information_score
0.8324226034140788
kb_relative_information_score
0.8048694812861776
kb_relative_information_score
0.8366209574900871
kb_relative_information_score
0.8266958510986367
mean_absolute_error
0.07240861814794614
mean_absolute_error
0.05531224284465912
mean_absolute_error
0.03093096039263213
mean_absolute_error
0.06799702229922706
mean_absolute_error
0.043121138183319335
mean_absolute_error
0.05551172033052838
mean_absolute_error
0.07601300506679842
mean_absolute_error
0.08779205442260272
mean_absolute_error
0.07984309232291095
mean_absolute_error
0.07967739964303602
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
0.9455044955044954 [0.977273,0.884615]
precision
0.9736263736263737 [1,0.923077]
precision
1 [1,1]
precision
0.9510204081632653 [1,0.857143]
precision
0.9862857142857142 [1,0.96]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.914069264069264 [0.916667,0.909091]
precision
0.9173826173826175 [0.954545,0.846154]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9329422590292156 [0.97619,0.851852]
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9714285714285714
predictive_accuracy
1
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.942857142857143
predictive_accuracy
0.927536231884058
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
0.16042490936065185
relative_absolute_error
0.12254703613813543
relative_absolute_error
0.0685290873427153
relative_absolute_error
0.15065079845688426
relative_absolute_error
0.09553703497631752
relative_absolute_error
0.12298898846934386
relative_absolute_error
0.1684106085708777
relative_absolute_error
0.19450768062656296
relative_absolute_error
0.1751799928587186
relative_absolute_error
0.17592970616881265
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
0.20350218154703067
root_mean_squared_error
0.1614482239892832
root_mean_squared_error
0.0752331224910448
root_mean_squared_error
0.19836315153553347
root_mean_squared_error
0.11328035207764543
root_mean_squared_error
0.17561755222902026
root_mean_squared_error
0.18684257231801693
root_mean_squared_error
0.22965904305768603
root_mean_squared_error
0.19597321195680514
root_mean_squared_error
0.21557953675309907
root_relative_squared_error
0.4287233984194603
root_relative_squared_error
0.340127219921106
root_relative_squared_error
0.15849559794824167
root_relative_squared_error
0.41789686872646287
root_relative_squared_error
0.23865069724403526
root_relative_squared_error
0.36997811640821304
root_relative_squared_error
0.3936261614723845
root_relative_squared_error
0.48382874654686453
root_relative_squared_error
0.40886892729336666
root_relative_squared_error
0.45262470169886476
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
0.9465579710144928 [0.934783,0.958333]
unweighted_recall
0.9782608695652174 [0.956522,1]
unweighted_recall
1 [1,1]
unweighted_recall
0.9565217391304348 [0.913043,1]
unweighted_recall
0.9891304347826086 [0.978261,1]
unweighted_recall
0.9682971014492754 [0.978261,0.958333]
unweighted_recall
0.894927536231884 [0.956522,0.833333]
unweighted_recall
0.9148550724637681 [0.913043,0.916667]
unweighted_recall
0.9377777777777778 [0.955556,0.92]
unweighted_recall
0.9347222222222222 [0.911111,0.958333]
usercpu_time_millis
32.884000000194646
usercpu_time_millis
33.53599999900325
usercpu_time_millis
37.81200000230456
usercpu_time_millis
33.69199999724515
usercpu_time_millis
37.73000000001048
usercpu_time_millis
33.527999999932945
usercpu_time_millis
35.373999999137595
usercpu_time_millis
32.76399999958812
usercpu_time_millis
33.43200000017532
usercpu_time_millis
32.768000000942266
usercpu_time_millis_testing
1.012000000628177
usercpu_time_millis_testing
1.029999999445863
usercpu_time_millis_testing
1.0680000013962854
usercpu_time_millis_testing
1.0499999989406206
usercpu_time_millis_testing
1.189999999041902
usercpu_time_millis_testing
1.0320000001229346
usercpu_time_millis_testing
1.056000000971835
usercpu_time_millis_testing
1.0419999998703133
usercpu_time_millis_testing
1.0419999998703133
usercpu_time_millis_testing
1.007999999274034
usercpu_time_millis_training
31.87199999956647
usercpu_time_millis_training
32.50599999955739
usercpu_time_millis_training
36.74400000090827
usercpu_time_millis_training
32.64199999830453
usercpu_time_millis_training
36.540000000968575
usercpu_time_millis_training
32.49599999981001
usercpu_time_millis_training
34.31799999816576
usercpu_time_millis_training
31.72199999971781
usercpu_time_millis_training
32.39000000030501
usercpu_time_millis_training
31.76000000166823
wall_clock_time_millis
16.469955444335938
wall_clock_time_millis
16.841888427734375
wall_clock_time_millis
19.010543823242188
wall_clock_time_millis
16.952037811279297
wall_clock_time_millis
19.025087356567383
wall_clock_time_millis
16.826629638671875
wall_clock_time_millis
17.97199249267578
wall_clock_time_millis
16.459941864013672
wall_clock_time_millis
16.78013801574707
wall_clock_time_millis
16.440153121948242
wall_clock_time_millis_testing
0.5090236663818359
wall_clock_time_millis_testing
0.5180835723876953
wall_clock_time_millis_testing
0.5366802215576172
wall_clock_time_millis_testing
0.5280971527099609
wall_clock_time_millis_testing
0.5979537963867188
wall_clock_time_millis_testing
0.518798828125
wall_clock_time_millis_testing
0.5309581756591797
wall_clock_time_millis_testing
0.5230903625488281
wall_clock_time_millis_testing
0.5240440368652344
wall_clock_time_millis_testing
0.507354736328125
wall_clock_time_millis_training
15.960931777954102
wall_clock_time_millis_training
16.32380485534668
wall_clock_time_millis_training
18.47386360168457
wall_clock_time_millis_training
16.423940658569336
wall_clock_time_millis_training
18.427133560180664
wall_clock_time_millis_training
16.307830810546875
wall_clock_time_millis_training
17.4410343170166
wall_clock_time_millis_training
15.936851501464844
wall_clock_time_millis_training
16.256093978881836
wall_clock_time_millis_training
15.932798385620117
weighted_recall
0.9428571428571428 [0.934783,0.958333]
weighted_recall
0.9714285714285714 [0.956522,1]
weighted_recall
1 [1,1]
weighted_recall
0.9428571428571428 [0.913043,1]
weighted_recall
0.9857142857142858 [0.978261,1]
weighted_recall
0.9714285714285714 [0.978261,0.958333]
weighted_recall
0.9142857142857143 [0.956522,0.833333]
weighted_recall
0.9142857142857143 [0.913043,0.916667]
weighted_recall
0.9428571428571428 [0.955556,0.92]
weighted_recall
0.927536231884058 [0.911111,0.958333]