10327923
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)
8183574
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
4840.789458474328
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
3.786699955884409e-05
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
19050
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
21577532
description
https://api.openml.org/data/download/21577532/description.xml
-1
21577533
predictions
https://api.openml.org/data/download/21577533/predictions.arff
area_under_roc_curve
0.9618945804417547 [0.961895,0.961895]
average_cost
0
f_measure
0.9642864752549101 [0.972618,0.948454]
kappa
0.9210729561395982
kb_relative_information_score
0.9174357845695296
mean_absolute_error
0.0357653791130186
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9643771154148977 [0.975824,0.942623]
predictive_accuracy
0.9642346208869814
prior_entropy
0.92931856324281
recall
0.9642346208869814 [0.969432,0.954357]
relative_absolute_error
0.07913571605969597
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.18911736861805845
root_relative_squared_error
0.3978937737958127
total_cost
0
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9782608695652174 [0.978261,0.978261]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9673913043478262 [0.967391,0.967391]
area_under_roc_curve
0.9791666666666665 [0.979167,0.979167]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9465579710144928 [0.946558,0.946558]
area_under_roc_curve
0.9377777777777778 [0.937778,0.937778]
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
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.957681049948069 [0.966292,0.941176]
f_measure
0.9856391149459097 [0.989247,0.978723]
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
0.9428571428571428 [0.955556,0.92]
f_measure
0.956721134961068 [0.966292,0.938776]
kappa
0.9365942028985507
kappa
0.9378330373001776
kappa
0.9353049907578558
kappa
0.907651715039578
kappa
0.9679780420860019
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.8756660746003552
kappa
0.8755555555555555
kappa
0.9050894085281982
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.9669584151155027
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.8696871296889499
kb_relative_information_score
0.8999337035385606
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.014285714285714285
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.05714285714285714
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
0.9714285714285714 [0.978261,0.958333]
precision
0.9736263736263737 [1,0.923077]
precision
0.9726190476190477 [0.958333,1]
precision
0.9619047619047618 [1,0.888889]
precision
0.9860182370820668 [0.978723,1]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9455044955044954 [0.977273,0.884615]
precision
0.9428571428571428 [0.955556,0.92]
precision
0.9573517786561265 [0.977273,0.92]
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.942857142857143
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
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [0.956522,1]
recall
0.9714285714285714 [1,0.916667]
recall
0.9571428571428572 [0.934783,1]
recall
0.9857142857142858 [1,0.958333]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [1,0.916667]
recall
0.9428571428571428 [0.934783,0.958333]
recall
0.9428571428571428 [0.955556,0.92]
recall
0.9565217391304348 [0.955556,0.958333]
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.03165071338269822
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.1253744690364409
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
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.11952286093343936
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.20851441405707477
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.25180195484222984
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.49873330593429216
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
10.315474006347358
usercpu_time_millis
8.92518500040751
usercpu_time_millis
10.145187996386085
usercpu_time_millis
9.948947001248598
usercpu_time_millis
10.525688994675875
usercpu_time_millis
9.526975998596754
usercpu_time_millis
10.073343997646589
usercpu_time_millis
9.37565800268203
usercpu_time_millis
12.91115899948636
usercpu_time_millis
9.78576500347117
usercpu_time_millis_testing
0.9435970059712417
usercpu_time_millis_testing
0.8481149998260662
usercpu_time_millis_testing
1.0148879955522716
usercpu_time_millis_testing
0.8839399961289018
usercpu_time_millis_testing
1.0558129943092354
usercpu_time_millis_testing
0.9482960012974218
usercpu_time_millis_testing
0.9267999994335696
usercpu_time_millis_testing
0.9351929984404705
usercpu_time_millis_testing
0.995194997813087
usercpu_time_millis_testing
0.9318459997302853
usercpu_time_millis_training
9.371877000376116
usercpu_time_millis_training
8.077070000581443
usercpu_time_millis_training
9.130300000833813
usercpu_time_millis_training
9.065007005119696
usercpu_time_millis_training
9.46987600036664
usercpu_time_millis_training
8.578679997299332
usercpu_time_millis_training
9.14654399821302
usercpu_time_millis_training
8.44046500424156
usercpu_time_millis_training
11.915964001673274
usercpu_time_millis_training
8.853919003740884
wall_clock_time_millis
26.32451057434082
wall_clock_time_millis
8.935213088989258
wall_clock_time_millis
10.15615463256836
wall_clock_time_millis
9.960412979125977
wall_clock_time_millis
10.538339614868164
wall_clock_time_millis
25.552749633789062
wall_clock_time_millis
10.08462905883789
wall_clock_time_millis
25.38895606994629
wall_clock_time_millis
12.922048568725586
wall_clock_time_millis
9.79471206665039
wall_clock_time_millis_testing
0.9491443634033203
wall_clock_time_millis_testing
0.8537769317626953
wall_clock_time_millis_testing
1.0209083557128906
wall_clock_time_millis_testing
0.8890628814697266
wall_clock_time_millis_testing
1.0614395141601562
wall_clock_time_millis_testing
16.968965530395508
wall_clock_time_millis_testing
0.9324550628662109
wall_clock_time_millis_testing
0.9434223175048828
wall_clock_time_millis_testing
1.001119613647461
wall_clock_time_millis_testing
0.9367465972900391
wall_clock_time_millis_training
25.3753662109375
wall_clock_time_millis_training
8.081436157226562
wall_clock_time_millis_training
9.135246276855469
wall_clock_time_millis_training
9.07135009765625
wall_clock_time_millis_training
9.476900100708008
wall_clock_time_millis_training
8.583784103393555
wall_clock_time_millis_training
9.15217399597168
wall_clock_time_millis_training
24.445533752441406
wall_clock_time_millis_training
11.920928955078125
wall_clock_time_millis_training
8.857965469360352