10559090
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)
8270239
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
0.1245563730317402
17495
cache_size
200
17495
class_weight
null
17495
coef0
-0.8010632981380832
17495
decision_function_shape
"ovr"
17495
degree
3
17495
gamma
0.2962905189710718
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
22043144
description
https://api.openml.org/data/download/22043144/description.xml
-1
22043145
predictions
https://api.openml.org/data/download/22043145/predictions.arff
area_under_roc_curve
0.9430593052963453 [0.943059,0.943059]
average_cost
0
f_measure
0.937618100219829 [0.954304,0.905908]
kappa
0.8604148961366456
kb_relative_information_score
0.7612229696257713
mean_absolute_error
0.12011933694939136
mean_prior_absolute_error
0.4519499019385762
weighted_recall
0.9384835479256081 [0.980349,0.858921]
number_of_instances
699 [458,241]
precision
0.9395109695305628 [0.929607,0.958333]
predictive_accuracy
0.938483547925608
prior_entropy
0.92931856324281
relative_absolute_error
0.2657802035892832
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.23369436645094108
root_relative_squared_error
0.4916816158212318
total_cost
0
unweighted_recall
0.9196352534019461 [0.980349,0.858921]
area_under_roc_curve
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9646739130434782 [0.964674,0.964674]
area_under_roc_curve
0.9021739130434783 [0.902174,0.902174]
area_under_roc_curve
0.9990942028985509 [0.999094,0.999094]
area_under_roc_curve
0.921195652173913 [0.921196,0.921196]
area_under_roc_curve
0.9891304347826088 [0.98913,0.98913]
area_under_roc_curve
0.8632246376811595 [0.863225,0.863225]
area_under_roc_curve
0.9365942028985509 [0.936594,0.936594]
area_under_roc_curve
0.9502222222222222 [0.950222,0.950222]
area_under_roc_curve
0.987037037037037 [0.987037,0.987037]
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
0.9121753246753247 [0.9375,0.863636]
f_measure
0.9428571428571428 [0.956522,0.916667]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9856391149459097 [0.989247,0.978723]
f_measure
0.9414502164502165 [0.958333,0.909091]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9107871720116617 [0.938776,0.857143]
f_measure
0.8994738046213682 [0.924731,0.851064]
f_measure
0.9422877846790888 [0.956522,0.916667]
f_measure
0.9271634933059539 [0.945055,0.893617]
kappa
0.8018867924528301
kappa
0.8731884057971014
kappa
0.9019607843137256
kappa
0.9679780420860019
kappa
0.8679245283018867
kappa
0.9019607843137256
kappa
0.7976878612716762
kappa
0.7758462946020128
kappa
0.8733031674208144
kappa
0.8387096774193549
kb_relative_information_score
0.7168600021331278
kb_relative_information_score
0.7975246079986894
kb_relative_information_score
0.771241472652576
kb_relative_information_score
0.8478509986517266
kb_relative_information_score
0.7793862287870766
kb_relative_information_score
0.810849451709654
kb_relative_information_score
0.7060950776383436
kb_relative_information_score
0.7045414166689183
kb_relative_information_score
0.727264258657277
kb_relative_information_score
0.7510030224104465
mean_absolute_error
0.140128903776353
mean_absolute_error
0.10034889253965588
mean_absolute_error
0.11955285355219217
mean_absolute_error
0.08469455560067098
mean_absolute_error
0.11012678125459761
mean_absolute_error
0.09908541001368816
mean_absolute_error
0.1434240161670625
mean_absolute_error
0.14246126563231398
mean_absolute_error
0.13824388091141673
mean_absolute_error
0.1231703966125825
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
0.9171428571428569 [0.9,0.95]
precision
0.9428571428571428 [0.956522,0.916667]
precision
0.9597667638483965 [0.938776,1]
precision
0.9860182370820668 [0.978723,1]
precision
0.9474285714285713 [0.92,1]
precision
0.9597667638483965 [0.938776,1]
precision
0.9241758241758242 [0.884615,1]
precision
0.8993524514338576 [0.914894,0.869565]
precision
0.9434386150389851 [0.93617,0.956522]
precision
0.9272211720226843 [0.934783,0.913043]
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9
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
0.3104625839039933
relative_absolute_error
0.2223279825230682
relative_absolute_error
0.264875317130489
relative_absolute_error
0.18764501730742847
relative_absolute_error
0.243991383247386
relative_absolute_error
0.21952867389252656
relative_absolute_error
0.3177630699529419
relative_absolute_error
0.3156300480665364
relative_absolute_error
0.30331443041910217
relative_absolute_error
0.27196333943914924
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
0.2578485026006978
root_mean_squared_error
0.22964592361476413
root_mean_squared_error
0.22294698602758334
root_mean_squared_error
0.13661643547700011
root_mean_squared_error
0.23565775851577342
root_mean_squared_error
0.186958318095252
root_mean_squared_error
0.27984078191910894
root_mean_squared_error
0.27762619695266083
root_mean_squared_error
0.24005556868505726
root_mean_squared_error
0.23461107398480732
root_relative_squared_error
0.5432162224108265
root_relative_squared_error
0.48380110747139077
root_relative_squared_error
0.4696882794597055
root_relative_squared_error
0.28781343793170266
root_relative_squared_error
0.4964663981818089
root_relative_squared_error
0.3938700061456538
root_relative_squared_error
0.5895479356961714
root_relative_squared_error
0.5848824112989066
root_relative_squared_error
0.5008402009591605
root_relative_squared_error
0.49258277931658634
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
0.884963768115942 [0.978261,0.791667]
unweighted_recall
0.9365942028985508 [0.956522,0.916667]
unweighted_recall
0.9375 [1,0.875]
unweighted_recall
0.9791666666666667 [1,0.958333]
unweighted_recall
0.9166666666666667 [1,0.833333]
unweighted_recall
0.9375 [1,0.875]
unweighted_recall
0.875 [1,0.75]
unweighted_recall
0.8840579710144928 [0.934783,0.833333]
unweighted_recall
0.9288888888888889 [0.977778,0.88]
unweighted_recall
0.9152777777777779 [0.955556,0.875]
usercpu_time_millis
13.337999997020233
usercpu_time_millis
13.10600000215345
usercpu_time_millis
13.417999998637242
usercpu_time_millis
13.008000001718756
usercpu_time_millis
13.445999997202307
usercpu_time_millis
13.698000002477784
usercpu_time_millis
13.126000001648208
usercpu_time_millis
14.108000003034249
usercpu_time_millis
14.218000000255415
usercpu_time_millis
13.447999997879378
usercpu_time_millis_testing
0.6319999993138481
usercpu_time_millis_testing
0.6280000015976839
usercpu_time_millis_testing
0.6519999988086056
usercpu_time_millis_testing
0.6320000029518269
usercpu_time_millis_testing
0.8079999970505014
usercpu_time_millis_testing
0.7880000011937227
usercpu_time_millis_testing
0.6299999986367766
usercpu_time_millis_testing
0.6439999997382984
usercpu_time_millis_testing
0.6339999999909196
usercpu_time_millis_testing
0.6900000007590279
usercpu_time_millis_training
12.705999997706385
usercpu_time_millis_training
12.478000000555767
usercpu_time_millis_training
12.765999999828637
usercpu_time_millis_training
12.375999998766929
usercpu_time_millis_training
12.638000000151806
usercpu_time_millis_training
12.910000001284061
usercpu_time_millis_training
12.496000003011432
usercpu_time_millis_training
13.46400000329595
usercpu_time_millis_training
13.584000000264496
usercpu_time_millis_training
12.75799999712035
wall_clock_time_millis
6.6852569580078125
wall_clock_time_millis
6.619930267333984
wall_clock_time_millis
6.759166717529297
wall_clock_time_millis
6.518840789794922
wall_clock_time_millis
6.8817138671875
wall_clock_time_millis
6.892919540405273
wall_clock_time_millis
6.593942642211914
wall_clock_time_millis
7.154941558837891
wall_clock_time_millis
7.187128067016602
wall_clock_time_millis
6.741762161254883
wall_clock_time_millis_testing
0.3190040588378906
wall_clock_time_millis_testing
0.3170967102050781
wall_clock_time_millis_testing
0.32901763916015625
wall_clock_time_millis_testing
0.3190040588378906
wall_clock_time_millis_testing
0.4057884216308594
wall_clock_time_millis_testing
0.396728515625
wall_clock_time_millis_testing
0.3180503845214844
wall_clock_time_millis_testing
0.3247261047363281
wall_clock_time_millis_testing
0.3190040588378906
wall_clock_time_millis_testing
0.3459453582763672
wall_clock_time_millis_training
6.366252899169922
wall_clock_time_millis_training
6.302833557128906
wall_clock_time_millis_training
6.430149078369141
wall_clock_time_millis_training
6.199836730957031
wall_clock_time_millis_training
6.475925445556641
wall_clock_time_millis_training
6.496191024780273
wall_clock_time_millis_training
6.27589225769043
wall_clock_time_millis_training
6.8302154541015625
wall_clock_time_millis_training
6.868124008178711
wall_clock_time_millis_training
6.395816802978516
weighted_recall
0.9142857142857143 [0.978261,0.791667]
weighted_recall
0.9428571428571428 [0.956522,0.916667]
weighted_recall
0.9571428571428572 [1,0.875]
weighted_recall
0.9857142857142858 [1,0.958333]
weighted_recall
0.9428571428571428 [1,0.833333]
weighted_recall
0.9571428571428572 [1,0.875]
weighted_recall
0.9142857142857143 [1,0.75]
weighted_recall
0.9 [0.934783,0.833333]
weighted_recall
0.9428571428571428 [0.977778,0.88]
weighted_recall
0.927536231884058 [0.955556,0.875]