10328188
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)
8183839
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
128.8207164562269
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.6004610405298936
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.05472328813043408
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
33209
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
21578062
description
https://api.openml.org/data/download/21578062/description.xml
-1
21578063
predictions
https://api.openml.org/data/download/21578063/predictions.arff
area_under_roc_curve
0.9345974741343382 [0.934597,0.934597]
average_cost
0
f_measure
0.9413157882181241 [0.955289,0.914761]
kappa
0.8700501952035693
kb_relative_information_score
0.8645946866940284
mean_absolute_error
0.058655221745350504
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.941291013305656 [0.954248,0.916667]
predictive_accuracy
0.9413447782546496
prior_entropy
0.92931856324281
recall
0.9413447782546495 [0.956332,0.912863]
relative_absolute_error
0.12978257433790139
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.2421884013435625
root_relative_squared_error
0.5095526533831183
total_cost
0
area_under_roc_curve
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9365942028985509 [0.936594,0.936594]
area_under_roc_curve
0.9375 [0.9375,0.9375]
area_under_roc_curve
0.9565217391304348 [0.956522,0.956522]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9682971014492754 [0.968297,0.968297]
area_under_roc_curve
0.9166666666666665 [0.916667,0.916667]
area_under_roc_curve
0.9148550724637681 [0.914855,0.914855]
area_under_roc_curve
0.8888888888888888 [0.888889,0.888889]
area_under_roc_curve
0.9347222222222222 [0.934722,0.934722]
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
0.9289078268670106 [0.945055,0.897959]
f_measure
0.9428571428571428 [0.956522,0.916667]
f_measure
0.956390977443609 [0.968421,0.933333]
f_measure
0.9437562437562438 [0.954545,0.923077]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9714285714285714 [0.978261,0.958333]
f_measure
0.9414502164502165 [0.958333,0.909091]
f_measure
0.915047619047619 [0.933333,0.88]
f_measure
0.912382714417867 [0.93617,0.869565]
f_measure
0.9284181438692417 [0.942529,0.901961]
kappa
0.8430493273542602
kappa
0.8731884057971014
kappa
0.9019607843137256
kappa
0.8780487804878049
kappa
0.9365942028985507
kappa
0.9365942028985507
kappa
0.8679245283018867
kappa
0.8134991119005328
kappa
0.8064516129032258
kappa
0.844804318488529
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.9008752453465084
kb_relative_information_score
0.8678336604620113
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8678336604620114
kb_relative_information_score
0.801750490693017
kb_relative_information_score
0.8045306945334251
kb_relative_information_score
0.8332228392309347
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.05714285714285714
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.08571428571428572
mean_absolute_error
0.07246376811594203
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
0.9296507936507936 [0.955556,0.88]
precision
0.9428571428571428 [0.956522,0.916667]
precision
0.9597667638483965 [0.938776,1]
precision
0.9510204081632653 [1,0.857143]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9474285714285713 [0.92,1]
precision
0.9173826173826175 [0.954545,0.846154]
precision
0.9173955296404275 [0.897959,0.952381]
precision
0.9329422590292156 [0.97619,0.851852]
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.942857142857143
predictive_accuracy
0.9142857142857143
predictive_accuracy
0.9142857142857143
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
recall
0.9285714285714286 [0.934783,0.916667]
recall
0.9428571428571428 [0.956522,0.916667]
recall
0.9571428571428572 [1,0.875]
recall
0.9428571428571428 [0.913043,1]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9428571428571428 [1,0.833333]
recall
0.9142857142857143 [0.913043,0.916667]
recall
0.9142857142857143 [0.977778,0.8]
recall
0.927536231884058 [0.911111,0.958333]
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.09495214014809465
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.12660285353079287
relative_absolute_error
0.1899042802961893
relative_absolute_error
0.18806170355466134
relative_absolute_error
0.16000182598374876
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
0.2672612419124244
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.23904572186687872
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.29277002188455997
root_mean_squared_error
0.26919095102908275
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.43613377923190605
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5036039096844597
root_relative_squared_error
0.616786305598795
root_relative_squared_error
0.6108210586351968
root_relative_squared_error
0.5651857117084224
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
13.947512001323048
usercpu_time_millis
13.013417003094219
usercpu_time_millis
13.838835999194998
usercpu_time_millis
13.419682007224765
usercpu_time_millis
13.364666010602377
usercpu_time_millis
13.827009999658912
usercpu_time_millis
13.610714995593298
usercpu_time_millis
12.627293996047229
usercpu_time_millis
13.276887009851635
usercpu_time_millis
13.042553997365758
usercpu_time_millis_testing
1.0409409951535054
usercpu_time_millis_testing
0.9822860010899603
usercpu_time_millis_testing
1.0381399988546036
usercpu_time_millis_testing
1.0226440062979236
usercpu_time_millis_testing
1.0539530048845336
usercpu_time_millis_testing
1.0397169971838593
usercpu_time_millis_testing
0.9428539997315966
usercpu_time_millis_testing
0.9498639992671087
usercpu_time_millis_testing
1.0295650063198991
usercpu_time_millis_testing
0.9810979972826317
usercpu_time_millis_training
12.906571006169543
usercpu_time_millis_training
12.031131002004258
usercpu_time_millis_training
12.800696000340395
usercpu_time_millis_training
12.397038000926841
usercpu_time_millis_training
12.310713005717844
usercpu_time_millis_training
12.787293002475053
usercpu_time_millis_training
12.667860995861702
usercpu_time_millis_training
11.67742999678012
usercpu_time_millis_training
12.247322003531735
usercpu_time_millis_training
12.061456000083126
wall_clock_time_millis
13.97085189819336
wall_clock_time_millis
13.04483413696289
wall_clock_time_millis
13.871908187866211
wall_clock_time_millis
13.441085815429688
wall_clock_time_millis
13.375043869018555
wall_clock_time_millis
13.838529586791992
wall_clock_time_millis
13.618707656860352
wall_clock_time_millis
12.636899948120117
wall_clock_time_millis
13.286352157592773
wall_clock_time_millis
13.051509857177734
wall_clock_time_millis_testing
1.0442733764648438
wall_clock_time_millis_testing
0.9863376617431641
wall_clock_time_millis_testing
1.0519027709960938
wall_clock_time_millis_testing
1.0251998901367188
wall_clock_time_millis_testing
1.0581016540527344
wall_clock_time_millis_testing
1.04522705078125
wall_clock_time_millis_testing
0.9467601776123047
wall_clock_time_millis_testing
0.95367431640625
wall_clock_time_millis_testing
1.0335445404052734
wall_clock_time_millis_testing
0.9853839874267578
wall_clock_time_millis_training
12.926578521728516
wall_clock_time_millis_training
12.058496475219727
wall_clock_time_millis_training
12.820005416870117
wall_clock_time_millis_training
12.415885925292969
wall_clock_time_millis_training
12.31694221496582
wall_clock_time_millis_training
12.793302536010742
wall_clock_time_millis_training
12.671947479248047
wall_clock_time_millis_training
11.683225631713867
wall_clock_time_millis_training
12.2528076171875
wall_clock_time_millis_training
12.066125869750977