10327935
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)
8183586
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
2.20249400482954
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.0018193656589055621
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
35336
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
21577556
description
https://api.openml.org/data/download/21577556/description.xml
-1
21577557
predictions
https://api.openml.org/data/download/21577557/predictions.arff
area_under_roc_curve
0.9671356610918842 [0.967136,0.967136]
average_cost
0
f_measure
0.9685869661879668 [0.975877,0.954733]
kappa
0.9306122080641086
kb_relative_information_score
0.9273434904211862
mean_absolute_error
0.031473533619456366
mean_prior_absolute_error
0.4519499019385762
number_of_instances
699 [458,241]
precision
0.9687166663001061 [0.980176,0.946939]
predictive_accuracy
0.9685264663805436
prior_entropy
0.92931856324281
recall
0.9685264663805436 [0.971616,0.962656]
relative_absolute_error
0.06963943013253243
root_mean_prior_squared_error
0.47529612442517866
root_mean_squared_error
0.17740781724449564
root_relative_squared_error
0.3732574454694997
total_cost
0
area_under_roc_curve
0.9891304347826088 [0.98913,0.98913]
area_under_roc_curve
0.9782608695652174 [0.978261,0.978261]
area_under_roc_curve
0.9583333333333335 [0.958333,0.958333]
area_under_roc_curve
0.9782608695652174 [0.978261,0.978261]
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
0.9257246376811594 [0.925725,0.925725]
area_under_roc_curve
0.9577777777777777 [0.957778,0.957778]
area_under_roc_curve
0.9777777777777779 [0.977778,0.977778]
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
0.985781565373402 [0.989011,0.979592]
f_measure
0.9716825396825397 [0.977778,0.96]
f_measure
0.9711114047839302 [0.978723,0.956522]
f_measure
0.9716825396825397 [0.977778,0.96]
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
0.9289078268670106 [0.945055,0.897959]
f_measure
0.9573222547445945 [0.966292,0.941176]
f_measure
0.9712648221343874 [0.977273,0.96]
kappa
0.9686098654708521
kappa
0.9378330373001776
kappa
0.9353049907578558
kappa
0.9378330373001776
kappa
0.9679780420860019
kappa
0.9365942028985507
kappa
0.9353049907578558
kappa
0.8430493273542602
kappa
0.907488986784141
kappa
0.9373297002724795
kb_relative_information_score
0.9669584151155027
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9669584151155027
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.9339168302310057
kb_relative_information_score
0.8347920755775141
kb_relative_information_score
0.9022653472667126
kb_relative_information_score
0.9332891356923737
mean_absolute_error
0.014285714285714285
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.014285714285714285
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.02857142857142857
mean_absolute_error
0.07142857142857142
mean_absolute_error
0.04285714285714286
mean_absolute_error
0.028985507246376812
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
0.9862857142857142 [1,0.96]
precision
0.9736263736263737 [1,0.923077]
precision
0.9726190476190477 [0.958333,1]
precision
0.9736263736263737 [1,0.923077]
precision
0.9860182370820668 [0.978723,1]
precision
0.9714285714285714 [0.978261,0.958333]
precision
0.9726190476190477 [0.958333,1]
precision
0.9296507936507936 [0.955556,0.88]
precision
0.9579170829170829 [0.977273,0.923077]
precision
0.9732441471571908 [1,0.923077]
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9714285714285714
predictive_accuracy
0.9285714285714286
predictive_accuracy
0.9571428571428571
predictive_accuracy
0.9710144927536232
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
0.9857142857142858 [0.978261,1]
recall
0.9714285714285714 [0.956522,1]
recall
0.9714285714285714 [1,0.916667]
recall
0.9714285714285714 [0.956522,1]
recall
0.9857142857142858 [1,0.958333]
recall
0.9714285714285714 [0.978261,0.958333]
recall
0.9714285714285714 [1,0.916667]
recall
0.9285714285714286 [0.934783,0.916667]
recall
0.9571428571428572 [0.955556,0.96]
recall
0.9710144927536232 [0.955556,1]
relative_absolute_error
0.03165071338269822
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.03165071338269822
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.06330142676539643
relative_absolute_error
0.15825356691349107
relative_absolute_error
0.09403085177733067
relative_absolute_error
0.0640007303934995
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
0.11952286093343936
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.11952286093343936
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.1690308509457033
root_mean_squared_error
0.2672612419124244
root_mean_squared_error
0.20701966780270625
root_mean_squared_error
0.17025130615174972
root_relative_squared_error
0.25180195484222984
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.25180195484222984
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.35610173956993896
root_relative_squared_error
0.5630462878945582
root_relative_squared_error
0.4319157126524933
root_relative_squared_error
0.35745482999638206
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
12.236535003466997
usercpu_time_millis
12.28294700558763
usercpu_time_millis
11.661503005598206
usercpu_time_millis
11.663981997116935
usercpu_time_millis
11.907330001122318
usercpu_time_millis
11.862556995765772
usercpu_time_millis
11.71591499587521
usercpu_time_millis
11.421474002418108
usercpu_time_millis
11.761092995584477
usercpu_time_millis
11.236710008233786
usercpu_time_millis_testing
1.242108002770692
usercpu_time_millis_testing
1.2648219999391586
usercpu_time_millis_testing
1.2406570021994412
usercpu_time_millis_testing
1.2984209970454685
usercpu_time_millis_testing
1.2516319984570146
usercpu_time_millis_testing
1.3012479976168834
usercpu_time_millis_testing
1.2109369999961928
usercpu_time_millis_testing
1.2266400008229539
usercpu_time_millis_testing
1.2345069990260527
usercpu_time_millis_testing
1.200928003527224
usercpu_time_millis_training
10.994427000696305
usercpu_time_millis_training
11.018125005648471
usercpu_time_millis_training
10.420846003398765
usercpu_time_millis_training
10.365561000071466
usercpu_time_millis_training
10.655698002665304
usercpu_time_millis_training
10.561308998148888
usercpu_time_millis_training
10.504977995879017
usercpu_time_millis_training
10.194834001595154
usercpu_time_millis_training
10.526585996558424
usercpu_time_millis_training
10.035782004706562
wall_clock_time_millis
28.24568748474121
wall_clock_time_millis
28.291940689086914
wall_clock_time_millis
11.670351028442383
wall_clock_time_millis
11.691093444824219
wall_clock_time_millis
19.916057586669922
wall_clock_time_millis
27.871131896972656
wall_clock_time_millis
11.72780990600586
wall_clock_time_millis
11.453628540039062
wall_clock_time_millis
11.774778366088867
wall_clock_time_millis
11.248350143432617
wall_clock_time_millis_testing
1.2478828430175781
wall_clock_time_millis_testing
1.270294189453125
wall_clock_time_millis_testing
1.2459754943847656
wall_clock_time_millis_testing
1.3027191162109375
wall_clock_time_millis_testing
1.2564659118652344
wall_clock_time_millis_testing
1.3065338134765625
wall_clock_time_millis_testing
1.2197494506835938
wall_clock_time_millis_testing
1.2352466583251953
wall_clock_time_millis_testing
1.2412071228027344
wall_clock_time_millis_testing
1.207113265991211
wall_clock_time_millis_training
26.997804641723633
wall_clock_time_millis_training
27.02164649963379
wall_clock_time_millis_training
10.424375534057617
wall_clock_time_millis_training
10.388374328613281
wall_clock_time_millis_training
18.659591674804688
wall_clock_time_millis_training
26.564598083496094
wall_clock_time_millis_training
10.508060455322266
wall_clock_time_millis_training
10.218381881713867
wall_clock_time_millis_training
10.533571243286133
wall_clock_time_millis_training
10.041236877441406