10327882
8323
Heinrich Peters
15
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8183533
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
0.07077231909653779
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.9005967890758899
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
2.867595836610148
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
17258
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.
15
breast-w
https://www.openml.org/data/download/52350/openml_phpJNxH0q
-1
21577450
description
https://api.openml.org/data/download/21577450/description.xml
-1
21577451
predictions
https://api.openml.org/data/download/21577451/predictions.arff
area_under_roc_curve
0.893212415517585 [0.893212,0.893212]
average_cost
0
f_measure
0.9130098784621771 [0.93617,0.868996]
kappa
0.805426169577078
kb_relative_information_score
0.8018458829668711
mean_absolute_error
0.08583690987124463
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9143068710971612 [0.912863,0.917051]
predictive_accuracy
0.9141630901287553
prior_entropy
0.92931856324281
recall
0.9141630901287554 [0.960699,0.825726]
relative_absolute_error
0.18992571854327028
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.2929793676545238
root_relative_squared_error
0.6164143837883214
total_cost
0
area_under_roc_curve
0.8840579710144928 [0.884058,0.884058]
area_under_roc_curve
0.832427536231884 [0.832428,0.832428]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.8840579710144928 [0.884058,0.884058]
area_under_roc_curve
0.8958333333333334 [0.895833,0.895833]
area_under_roc_curve
0.884963768115942 [0.884964,0.884964]
area_under_roc_curve
0.8432971014492754 [0.843297,0.843297]
area_under_roc_curve
0.9148550724637681 [0.914855,0.914855]
area_under_roc_curve
0.8977777777777778 [0.897778,0.897778]
area_under_roc_curve
0.9569444444444445 [0.956944,0.956944]
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
0.8994738046213682 [0.924731,0.851064]
f_measure
0.8672671849847587 [0.907216,0.790698]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.8994738046213682 [0.924731,0.851064]
f_measure
0.9262595472137548 [0.948454,0.883721]
f_measure
0.9121753246753247 [0.9375,0.863636]
f_measure
0.8810495626822158 [0.918367,0.809524]
f_measure
0.915047619047619 [0.933333,0.88]
f_measure
0.9134316770186335 [0.934783,0.875]
f_measure
0.956721134961068 [0.966292,0.938776]
kappa
0.7758462946020128
kappa
0.6997140133460439
kappa
0.9019607843137256
kappa
0.7758462946020128
kappa
0.8331744518589134
kappa
0.8018867924528301
kappa
0.7302504816955683
kappa
0.8134991119005328
kappa
0.8099547511312216
kappa
0.9050894085281982
kb_relative_information_score
0.7687089058085196
kb_relative_information_score
0.7026257360395255
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.7687089058085198
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.8017504906930171
kb_relative_information_score
0.7356673209240224
kb_relative_information_score
0.801750490693017
kb_relative_information_score
0.804530694533425
kb_relative_information_score
0.8999337035385606
mean_absolute_error
0.1
mean_absolute_error
0.12857142857142856
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.1
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.11428571428571428
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.043478260869565216
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
0.8993524514338576 [0.914894,0.869565]
precision
0.8737136960047177 [0.862745,0.894737]
precision
0.9597667638483965 [0.938776,1]
precision
0.8993524514338576 [0.914894,0.869565]
precision
0.9355742296918769 [0.901961,1]
precision
0.9171428571428569 [0.9,0.95]
precision
0.8924908424908424 [0.865385,0.944444]
precision
0.9173826173826175 [0.954545,0.846154]
precision
0.914232853178274 [0.914894,0.913043]
precision
0.9573517786561265 [0.977273,0.92]
predictive_accuracy
0.9
predictive_accuracy
0.8714285714285714
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.8857142857142857
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9565217391304348
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
recall
0.9 [0.934783,0.833333]
recall
0.8714285714285714 [0.956522,0.708333]
recall
0.9571428571428572 [1,0.875]
recall
0.9 [0.934783,0.833333]
recall
0.9285714285714286 [1,0.791667]
recall
0.9142857142857143 [0.978261,0.791667]
recall
0.8857142857142857 [0.978261,0.708333]
recall
0.9142857142857143 [0.913043,0.916667]
recall
0.9142857142857143 [0.955556,0.84]
recall
0.9565217391304348 [0.955556,0.958333]
relative_absolute_error
0.2215549936788875
relative_absolute_error
0.28485642044428394
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.2215549936788875
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.1899042802961893
relative_absolute_error
0.25320570706158574
relative_absolute_error
0.1899042802961893
relative_absolute_error
0.18806170355466134
relative_absolute_error
0.09600109559024926
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
0.31622776601683794
root_mean_squared_error
0.35856858280031806
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.31622776601683794
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.3380617018914066
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.20851441405707477
root_relative_squared_error
0.6662053521524564
root_relative_squared_error
0.7554058645266893
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.6662053521524564
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.616786305598795
root_relative_squared_error
0.7122034791398779
root_relative_squared_error
0.616786305598795
root_relative_squared_error
0.6108210586351968
root_relative_squared_error
0.43779096979222126
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
12.242752010934055
usercpu_time_millis
12.224060999869835
usercpu_time_millis
12.314523992245086
usercpu_time_millis
11.8723810010124
usercpu_time_millis
12.521764008852188
usercpu_time_millis
12.991442999918945
usercpu_time_millis
12.892257997009438
usercpu_time_millis
12.715121993096545
usercpu_time_millis
12.841012001445051
usercpu_time_millis
12.922759997309186
usercpu_time_millis_testing
0.9598020042176358
usercpu_time_millis_testing
1.0089380011777394
usercpu_time_millis_testing
0.9661499934736639
usercpu_time_millis_testing
0.956181000219658
usercpu_time_millis_testing
1.0255670058541
usercpu_time_millis_testing
0.979898999503348
usercpu_time_millis_testing
0.9158899993053637
usercpu_time_millis_testing
1.0413159980089404
usercpu_time_millis_testing
0.9671520019765012
usercpu_time_millis_testing
0.9917389979818836
usercpu_time_millis_training
11.282950006716419
usercpu_time_millis_training
11.215122998692095
usercpu_time_millis_training
11.348373998771422
usercpu_time_millis_training
10.916200000792742
usercpu_time_millis_training
11.496197002998088
usercpu_time_millis_training
12.011544000415597
usercpu_time_millis_training
11.976367997704074
usercpu_time_millis_training
11.673805995087605
usercpu_time_millis_training
11.87385999946855
usercpu_time_millis_training
11.931020999327302
wall_clock_time_millis
12.255668640136719
wall_clock_time_millis
12.234926223754883
wall_clock_time_millis
12.325048446655273
wall_clock_time_millis
27.881383895874023
wall_clock_time_millis
28.530359268188477
wall_clock_time_millis
13.001441955566406
wall_clock_time_millis
12.902498245239258
wall_clock_time_millis
12.72726058959961
wall_clock_time_millis
12.867927551269531
wall_clock_time_millis
12.931585311889648
wall_clock_time_millis_testing
0.9663105010986328
wall_clock_time_millis_testing
1.01470947265625
wall_clock_time_millis_testing
0.972747802734375
wall_clock_time_millis_testing
0.9629726409912109
wall_clock_time_millis_testing
1.0325908660888672
wall_clock_time_millis_testing
0.9839534759521484
wall_clock_time_millis_testing
0.9210109710693359
wall_clock_time_millis_testing
1.0466575622558594
wall_clock_time_millis_testing
0.9725093841552734
wall_clock_time_millis_testing
0.9977817535400391
wall_clock_time_millis_training
11.289358139038086
wall_clock_time_millis_training
11.220216751098633
wall_clock_time_millis_training
11.352300643920898
wall_clock_time_millis_training
26.918411254882812
wall_clock_time_millis_training
27.49776840209961
wall_clock_time_millis_training
12.017488479614258
wall_clock_time_millis_training
11.981487274169922
wall_clock_time_millis_training
11.68060302734375
wall_clock_time_millis_training
11.895418167114258
wall_clock_time_millis_training
11.93380355834961