10560795
27568
Victorien Fandos
39
Supervised Classification
predictive_accuracy
19007
sklearn.pipeline.Pipeline(StandardScaler=sklearn.preprocessing._data.StandardScaler,svc=sklearn.svm._classes.SVC)(4)
8277079
Python_3.8.2. Sklearn_0.24.2. NumPy_1.19.5. SciPy_1.6.2.
C
10
19000
break_ties
false
19000
cache_size
200
19000
class_weight
null
19000
coef0
0.0
19000
decision_function_shape
"ovr"
19000
degree
3
19000
gamma
0.01
19000
kernel
"rbf"
19000
max_iter
-1
19000
probability
false
19000
random_state
8377
19000
shrinking
true
19000
tol
0.001
19000
verbose
false
19000
copy
true
19003
with_mean
true
19003
with_std
true
19003
memory
null
19007
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "StandardScaler", "step_name": "StandardScaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
19007
verbose
false
19007
openml-python
Sklearn_0.24.2.
40
sonar
https://www.openml.org/data/download/40/dataset_40_sonar.arff
-1
22047704
description
https://api.openml.org/data/download/22047704/description.xml
-1
22047705
predictions
https://api.openml.org/data/download/22047705/predictions.arff
area_under_roc_curve
0.8872945110058511 [0.887295,0.887295]
average_cost
0
f_measure
0.8891782267332928 [0.878307,0.898678]
kappa
0.7771151695862839
kb_relative_information_score
0.7774076546007936
mean_absolute_error
0.11057692307692307
mean_prior_absolute_error
0.4977564102564104
weighted_recall
0.8894230769230769 [0.85567,0.918919]
number_of_instances
208 [97,111]
precision
0.8899726819282667 [0.902174,0.87931]
predictive_accuracy
0.889423076923077
prior_entropy
0.9967298867643506
relative_absolute_error
0.22215067611075331
root_mean_prior_squared_error
0.49886623594659213
root_mean_squared_error
0.3325310858805881
root_relative_squared_error
0.6665736462392864
total_cost
0
unweighted_recall
0.8872945110058512 [0.85567,0.918919]
area_under_roc_curve
0.9166666666666666 [0.916667,0.916667]
area_under_roc_curve
0.8590909090909091 [0.859091,0.859091]
area_under_roc_curve
0.8500000000000001 [0.85,0.85]
area_under_roc_curve
0.8500000000000001 [0.85,0.85]
area_under_roc_curve
0.8090909090909092 [0.809091,0.809091]
area_under_roc_curve
0.9045454545454544 [0.904545,0.904545]
area_under_roc_curve
1 [1,1]
area_under_roc_curve
0.9545454545454546 [0.954545,0.954545]
area_under_roc_curve
0.7878787878787878 [0.787879,0.787879]
area_under_roc_curve
0.9444444444444444 [0.944444,0.944444]
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
0.9051948051948051 [0.9,0.909091]
f_measure
0.8571428571428571 [0.857143,0.857143]
f_measure
0.853109243697479 [0.823529,0.88]
f_measure
0.853109243697479 [0.823529,0.88]
f_measure
0.8095238095238095 [0.8,0.818182]
f_measure
0.9047619047619048 [0.9,0.909091]
f_measure
1 [1,1]
f_measure
0.9523809523809523 [0.952381,0.952381]
f_measure
0.7958333333333333 [0.75,0.833333]
f_measure
0.949616368286445 [0.941176,0.956522]
kappa
0.8108108108108109
kappa
0.7149321266968326
kappa
0.7096774193548386
kappa
0.7096774193548386
kappa
0.6181818181818183
kappa
0.8090909090909091
kappa
1
kappa
0.9049773755656109
kappa
0.5876288659793816
kappa
0.8979591836734693
kb_relative_information_score
0.8068748488628052
kb_relative_information_score
0.7129734008881894
kb_relative_information_score
0.7129734008881894
kb_relative_information_score
0.7129734008881894
kb_relative_information_score
0.6172978678509192
kb_relative_information_score
0.8086489339254597
kb_relative_information_score
1
kb_relative_information_score
0.90432446696273
kb_relative_information_score
0.5961222064214833
kb_relative_information_score
0.8990305516053708
mean_absolute_error
0.09523809523809523
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.14285714285714285
mean_absolute_error
0.19047619047619047
mean_absolute_error
0.09523809523809523
mean_absolute_error
0
mean_absolute_error
0.047619047619047616
mean_absolute_error
0.2
mean_absolute_error
0.05
mean_prior_absolute_error
0.49523809523809526
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4984126984126984
mean_prior_absolute_error
0.4966666666666667
mean_prior_absolute_error
0.4966666666666667
number_of_instances
21 [9,12]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
21 [10,11]
number_of_instances
20 [9,11]
number_of_instances
20 [9,11]
precision
0.922077922077922 [0.818182,1]
precision
0.861038961038961 [0.818182,0.9]
precision
0.8877551020408163 [1,0.785714]
precision
0.8877551020408163 [1,0.785714]
precision
0.8095238095238095 [0.8,0.818182]
precision
0.9047619047619048 [0.9,0.909091]
precision
1 [1,1]
precision
0.9567099567099566 [0.909091,1]
precision
0.8087912087912088 [0.857143,0.769231]
precision
0.9541666666666666 [1,0.916667]
predictive_accuracy
0.9047619047619048
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8571428571428571
predictive_accuracy
0.8095238095238095
predictive_accuracy
0.9047619047619048
predictive_accuracy
1
predictive_accuracy
0.9523809523809524
predictive_accuracy
0.8
predictive_accuracy
0.95
prior_entropy
0.9894527718695455
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9986263470096595
prior_entropy
0.9935808806825968
prior_entropy
0.9935808806825968
relative_absolute_error
0.1923076923076923
relative_absolute_error
0.28662420382165604
relative_absolute_error
0.28662420382165604
relative_absolute_error
0.28662420382165604
relative_absolute_error
0.3821656050955414
relative_absolute_error
0.1910828025477707
relative_absolute_error
0
relative_absolute_error
0.09554140127388536
relative_absolute_error
0.40268456375838924
relative_absolute_error
0.10067114093959731
root_mean_prior_squared_error
0.49633577983982413
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.4995235825502231
root_mean_prior_squared_error
0.49777281743560264
root_mean_prior_squared_error
0.49777281743560264
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.3779644730092272
root_mean_squared_error
0.4364357804719847
root_mean_squared_error
0.3086066999241838
root_mean_squared_error
0
root_mean_squared_error
0.21821789023599236
root_mean_squared_error
0.4472135954999579
root_mean_squared_error
0.22360679774997896
root_relative_squared_error
0.6217700042172587
root_relative_squared_error
0.7566499084579773
root_relative_squared_error
0.7566499084579773
root_relative_squared_error
0.7566499084579773
root_relative_squared_error
0.8737040566610378
root_relative_squared_error
0.6178020632152155
root_relative_squared_error
0
root_relative_squared_error
0.4368520283305189
root_relative_squared_error
0.8984291223532197
root_relative_squared_error
0.44921456117660985
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
0.9166666666666667 [1,0.833333]
unweighted_recall
0.8590909090909091 [0.9,0.818182]
unweighted_recall
0.85 [0.7,1]
unweighted_recall
0.85 [0.7,1]
unweighted_recall
0.8090909090909091 [0.8,0.818182]
unweighted_recall
0.9045454545454545 [0.9,0.909091]
unweighted_recall
1 [1,1]
unweighted_recall
0.9545454545454546 [1,0.909091]
unweighted_recall
0.7878787878787878 [0.666667,0.909091]
unweighted_recall
0.9444444444444444 [0.888889,1]
usercpu_time_millis
9.094964000041728
usercpu_time_millis
7.7533250000669796
usercpu_time_millis
7.788897999944311
usercpu_time_millis
7.744528000102946
usercpu_time_millis
7.711916000062047
usercpu_time_millis
7.832835000044724
usercpu_time_millis
7.63388900031714
usercpu_time_millis
7.854696000094918
usercpu_time_millis
8.099639000192838
usercpu_time_millis
8.045853999874453
usercpu_time_millis_testing
1.728402000026108
usercpu_time_millis_testing
1.7006489999857877
usercpu_time_millis_testing
1.710155999944618
usercpu_time_millis_testing
1.7007260000809765
usercpu_time_millis_testing
1.704453000002104
usercpu_time_millis_testing
1.7384550001224852
usercpu_time_millis_testing
1.699883000128466
usercpu_time_millis_testing
1.769529000057446
usercpu_time_millis_testing
1.800744000092891
usercpu_time_millis_testing
1.694810999879337
usercpu_time_millis_training
7.36656200001562
usercpu_time_millis_training
6.052676000081192
usercpu_time_millis_training
6.078741999999693
usercpu_time_millis_training
6.043802000021969
usercpu_time_millis_training
6.007463000059943
usercpu_time_millis_training
6.094379999922239
usercpu_time_millis_training
5.934006000188674
usercpu_time_millis_training
6.0851670000374725
usercpu_time_millis_training
6.298895000099947
usercpu_time_millis_training
6.351042999995116
wall_clock_time_millis
9.108543395996094
wall_clock_time_millis
7.766485214233398
wall_clock_time_millis
7.79271125793457
wall_clock_time_millis
7.757663726806641
wall_clock_time_millis
7.729053497314453
wall_clock_time_millis
7.836818695068359
wall_clock_time_millis
7.645130157470703
wall_clock_time_millis
7.869243621826172
wall_clock_time_millis
8.113622665405273
wall_clock_time_millis
8.049726486206055
wall_clock_time_millis_testing
1.7309188842773438
wall_clock_time_millis_testing
1.7032623291015625
wall_clock_time_millis_testing
1.712799072265625
wall_clock_time_millis_testing
1.7032623291015625
wall_clock_time_millis_testing
1.7070770263671875
wall_clock_time_millis_testing
1.7409324645996094
wall_clock_time_millis_testing
1.7025470733642578
wall_clock_time_millis_testing
1.7826557159423828
wall_clock_time_millis_testing
1.8036365509033203
wall_clock_time_millis_testing
1.697540283203125
wall_clock_time_millis_training
7.37762451171875
wall_clock_time_millis_training
6.063222885131836
wall_clock_time_millis_training
6.079912185668945
wall_clock_time_millis_training
6.054401397705078
wall_clock_time_millis_training
6.021976470947266
wall_clock_time_millis_training
6.09588623046875
wall_clock_time_millis_training
5.942583084106445
wall_clock_time_millis_training
6.086587905883789
wall_clock_time_millis_training
6.309986114501953
wall_clock_time_millis_training
6.35218620300293
weighted_recall
0.9047619047619048 [1,0.833333]
weighted_recall
0.8571428571428571 [0.9,0.818182]
weighted_recall
0.8571428571428571 [0.7,1]
weighted_recall
0.8571428571428571 [0.7,1]
weighted_recall
0.8095238095238095 [0.8,0.818182]
weighted_recall
0.9047619047619048 [0.9,0.909091]
weighted_recall
1 [1,1]
weighted_recall
0.9523809523809523 [1,0.909091]
weighted_recall
0.8 [0.666667,0.909091]
weighted_recall
0.95 [0.888889,1]