10329025
8323
Heinrich Peters
9946
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8184647
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
363.6635002375271
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.5399612747801303
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
2.353046556401698
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
26522
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.
1510
wdbc
https://www.openml.org/data/download/1592318/phpAmSP4g
-1
21579738
description
https://api.openml.org/data/download/21579738/description.xml
-1
21579739
predictions
https://api.openml.org/data/download/21579739/predictions.arff
area_under_roc_curve
0.4539797050895831 [0.45398,0.45398]
average_cost
0
f_measure
0.48983800376360576 [0.594972,0.312796]
kappa
-0.09221726525370988
kb_relative_information_score
-0.12146325111504666
mean_absolute_error
0.5096660808435852
mean_prior_absolute_error
0.46764379083961705
number_of_instances
569 [357,212]
precision
0.4893531492128455 [0.593315,0.314286]
predictive_accuracy
0.4903339191564147
prior_entropy
0.9526357368194003
recall
0.4903339191564148 [0.596639,0.311321]
relative_absolute_error
1.0898596128658535
root_mean_prior_squared_error
0.4834927399189952
root_mean_squared_error
0.7139090144014049
root_relative_squared_error
1.4765661517916768
total_cost
0
area_under_roc_curve
0.382936507936508 [0.382937,0.382937]
area_under_roc_curve
0.4662698412698412 [0.46627,0.46627]
area_under_roc_curve
0.47619047619047616 [0.47619,0.47619]
area_under_roc_curve
0.4226190476190476 [0.422619,0.422619]
area_under_roc_curve
0.5416666666666666 [0.541667,0.541667]
area_under_roc_curve
0.3968253968253968 [0.396825,0.396825]
area_under_roc_curve
0.39285714285714285 [0.392857,0.392857]
area_under_roc_curve
0.4707792207792208 [0.470779,0.470779]
area_under_roc_curve
0.5214285714285715 [0.521429,0.521429]
area_under_roc_curve
0.4666666666666667 [0.466667,0.466667]
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
0.42370748357956795 [0.535211,0.232558]
f_measure
0.5096894570578782 [0.649351,0.27027]
f_measure
0.5175708502024291 [0.64,0.307692]
f_measure
0.4307828394515701 [0.47619,0.352941]
f_measure
0.5823280560122664 [0.701299,0.378378]
f_measure
0.43859649122807015 [0.555556,0.238095]
f_measure
0.427765064836003 [0.521739,0.266667]
f_measure
0.5030389240915556 [0.649351,0.27027]
f_measure
0.5322647277534496 [0.584615,0.44898]
f_measure
0.5 [0.6,0.333333]
kappa
-0.23182711198428307
kappa
-0.07098121085594997
kappa
-0.049079754601227016
kappa
-0.14207650273224048
kappa
0.08768267223382038
kappa
-0.20634920634920642
kappa
-0.20809248554913307
kappa
-0.062111801242236184
kappa
0.04112149532710264
kappa
-0.06666666666666667
kb_relative_information_score
-0.278092342941245
kb_relative_information_score
-0.04571191695192759
kb_relative_information_score
-0.04571191695192759
kb_relative_information_score
-0.27809234294124485
kb_relative_information_score
0.10920836704095065
kb_relative_information_score
-0.23936227194302542
kb_relative_information_score
-0.27809234294124496
kb_relative_information_score
-0.031435878495213225
kb_relative_information_score
-0.03143587849521312
kb_relative_information_score
-0.09810746010620447
mean_absolute_error
0.5789473684210527
mean_absolute_error
0.47368421052631576
mean_absolute_error
0.47368421052631576
mean_absolute_error
0.5789473684210527
mean_absolute_error
0.40350877192982454
mean_absolute_error
0.5614035087719298
mean_absolute_error
0.5789473684210527
mean_absolute_error
0.47368421052631576
mean_absolute_error
0.47368421052631576
mean_absolute_error
0.5
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4665867821919071
mean_prior_absolute_error
0.4710418778996528
mean_prior_absolute_error
0.4710418778996528
mean_prior_absolute_error
0.4682574430823117
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [36,21]
number_of_instances
57 [35,22]
number_of_instances
57 [35,22]
number_of_instances
56 [35,21]
precision
0.4265892002734108 [0.542857,0.227273]
precision
0.5002406931964056 [0.609756,0.3125]
precision
0.5114709851551956 [0.615385,0.333333]
precision
0.4614035087719298 [0.555556,0.3]
precision
0.5771020539152759 [0.658537,0.4375]
precision
0.43859649122807015 [0.555556,0.238095]
precision
0.43660287081339705 [0.545455,0.25]
precision
0.4941520467836257 [0.595238,0.333333]
precision
0.546133853151397 [0.633333,0.407407]
precision
0.5 [0.6,0.333333]
predictive_accuracy
0.4210526315789474
predictive_accuracy
0.5263157894736842
predictive_accuracy
0.5263157894736842
predictive_accuracy
0.4210526315789474
predictive_accuracy
0.5964912280701754
predictive_accuracy
0.4385964912280702
predictive_accuracy
0.4210526315789474
predictive_accuracy
0.5263157894736842
predictive_accuracy
0.5263157894736842
predictive_accuracy
0.5
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9495176370074769
prior_entropy
0.9626598502888526
prior_entropy
0.9626598502888526
prior_entropy
0.9544459669879928
recall
0.42105263157894735 [0.527778,0.238095]
recall
0.5263157894736842 [0.694444,0.238095]
recall
0.5263157894736842 [0.666667,0.285714]
recall
0.42105263157894735 [0.416667,0.428571]
recall
0.5964912280701754 [0.75,0.333333]
recall
0.43859649122807015 [0.555556,0.238095]
recall
0.42105263157894735 [0.5,0.285714]
recall
0.5263157894736842 [0.714286,0.227273]
recall
0.5263157894736842 [0.542857,0.5]
recall
0.5 [0.6,0.333333]
relative_absolute_error
1.2408139075464244
relative_absolute_error
1.0152113789016197
relative_absolute_error
1.0152113789016197
relative_absolute_error
1.2408139075464244
relative_absolute_error
0.8648096931384168
relative_absolute_error
1.2032134861056236
relative_absolute_error
1.2408139075464244
relative_absolute_error
1.005609549279238
relative_absolute_error
1.005609549279238
relative_absolute_error
1.0677886863020103
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4823984047513734
root_mean_prior_squared_error
0.4869941648669064
root_mean_prior_squared_error
0.4869941648669064
root_mean_prior_squared_error
0.4841269273621067
root_mean_squared_error
0.7608859102526822
root_mean_squared_error
0.6882472016116853
root_mean_squared_error
0.6882472016116853
root_mean_squared_error
0.7608859102526822
root_mean_squared_error
0.6352234031660235
root_mean_squared_error
0.7492686492653552
root_mean_squared_error
0.7608859102526822
root_mean_squared_error
0.6882472016116853
root_mean_squared_error
0.6882472016116853
root_mean_squared_error
0.7071067811865476
root_relative_squared_error
1.5772977330736413
root_relative_squared_error
1.4267194808954762
root_relative_squared_error
1.4267194808954762
root_relative_squared_error
1.5772977330736413
root_relative_squared_error
1.3168024539662722
root_relative_squared_error
1.5532154374588487
root_relative_squared_error
1.5772977330736413
root_relative_squared_error
1.4132555403405718
root_relative_squared_error
1.4132555403405718
root_relative_squared_error
1.4605813914119699
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
26.739899010863155
usercpu_time_millis
27.322088993969373
usercpu_time_millis
26.80081299331505
usercpu_time_millis
26.261562015861273
usercpu_time_millis
25.501145006273873
usercpu_time_millis
24.609446991235018
usercpu_time_millis
25.130905021796934
usercpu_time_millis
25.675538010546006
usercpu_time_millis
24.73544399254024
usercpu_time_millis
24.996707012178376
usercpu_time_millis_testing
1.756597004714422
usercpu_time_millis_testing
1.7601959989406168
usercpu_time_millis_testing
1.7771709972294047
usercpu_time_millis_testing
2.0067410077899694
usercpu_time_millis_testing
1.7476030043326318
usercpu_time_millis_testing
1.8020429997704923
usercpu_time_millis_testing
1.742201013257727
usercpu_time_millis_testing
1.7227860080311075
usercpu_time_millis_testing
1.7349029949400574
usercpu_time_millis_testing
1.6914209991227835
usercpu_time_millis_training
24.983302006148733
usercpu_time_millis_training
25.561892995028757
usercpu_time_millis_training
25.023641996085644
usercpu_time_millis_training
24.254821008071303
usercpu_time_millis_training
23.75354200194124
usercpu_time_millis_training
22.807403991464525
usercpu_time_millis_training
23.388704008539207
usercpu_time_millis_training
23.9527520025149
usercpu_time_millis_training
23.000540997600183
usercpu_time_millis_training
23.305286013055593
wall_clock_time_millis
26.75604820251465
wall_clock_time_millis
27.367353439331055
wall_clock_time_millis
58.69174003601074
wall_clock_time_millis
42.27328300476074
wall_clock_time_millis
25.533199310302734
wall_clock_time_millis
24.62601661682129
wall_clock_time_millis
25.14791488647461
wall_clock_time_millis
25.692462921142578
wall_clock_time_millis
24.75261688232422
wall_clock_time_millis
25.013208389282227
wall_clock_time_millis_testing
1.7647743225097656
wall_clock_time_millis_testing
1.7685890197753906
wall_clock_time_millis_testing
1.7857551574707031
wall_clock_time_millis_testing
2.015829086303711
wall_clock_time_millis_testing
1.7552375793457031
wall_clock_time_millis_testing
1.8115043640136719
wall_clock_time_millis_testing
1.7521381378173828
wall_clock_time_millis_testing
1.7321109771728516
wall_clock_time_millis_testing
1.7430782318115234
wall_clock_time_millis_testing
1.6989707946777344
wall_clock_time_millis_training
24.991273880004883
wall_clock_time_millis_training
25.598764419555664
wall_clock_time_millis_training
56.90598487854004
wall_clock_time_millis_training
40.25745391845703
wall_clock_time_millis_training
23.77796173095703
wall_clock_time_millis_training
22.814512252807617
wall_clock_time_millis_training
23.395776748657227
wall_clock_time_millis_training
23.960351943969727
wall_clock_time_millis_training
23.009538650512695
wall_clock_time_millis_training
23.314237594604492