10402937
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8240705
C
14157.7694693682
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.3782597505563763
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0012505097632321644
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
37731
16360
shrinking
true
16360
tol
0.009259120484187982
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21727659
description
https://api.openml.org/data/download/21727659/description.xml
-1
21727660
predictions
https://api.openml.org/data/download/21727660/predictions.arff
area_under_roc_curve
0.9216666666666667 [1,0.895,0.965278,0.948611,0.909444,0.959722,0.797222,0.972222,0.986944,0.782222]
average_cost
0
f_measure
0.8588320621719137 [1,0.79902,0.946835,0.916456,0.843434,0.936709,0.635,0.914286,0.982368,0.614213]
kappa
0.8433333333333333
kb_relative_information_score
0.8525481938309505
mean_absolute_error
0.02820000000000013
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8592878427047311 [1,0.783654,0.958974,0.928205,0.852041,0.948718,0.635,0.872727,0.989848,0.623711]
predictive_accuracy
0.8590000000000001
prior_entropy
3.3219280948872383
recall
0.859 [1,0.815,0.935,0.905,0.835,0.925,0.635,0.96,0.975,0.605]
relative_absolute_error
0.15666666666666257
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.16792855623746705
root_relative_squared_error
0.5597618541248816
total_cost
0
area_under_roc_curve
0.9249999999999998 [1,0.936111,0.972222,0.95,0.938889,0.975,0.844444,0.944444,1,0.688889]
area_under_roc_curve
0.9083333333333334 [1,0.886111,0.947222,0.922222,0.891667,0.941667,0.730556,0.963889,1,0.8]
area_under_roc_curve
0.9138888888888889 [1,0.933333,0.975,0.922222,0.963889,0.972222,0.722222,0.947222,1,0.702778]
area_under_roc_curve
0.9555555555555554 [1,0.894444,0.975,0.994444,0.988889,0.95,0.916667,0.972222,0.975,0.888889]
area_under_roc_curve
0.8944444444444443 [1,0.836111,0.925,0.944444,0.880556,0.894444,0.752778,0.961111,0.997222,0.752778]
area_under_roc_curve
0.9222222222222222 [1,0.911111,0.972222,0.894444,0.872222,0.991667,0.827778,0.994444,0.975,0.783333]
area_under_roc_curve
0.9222222222222222 [1,0.863889,0.925,0.994444,0.894444,0.972222,0.855556,0.958333,1,0.758333]
area_under_roc_curve
0.936111111111111 [1,0.891667,0.997222,0.969444,0.897222,0.975,0.833333,0.991667,0.947222,0.858333]
area_under_roc_curve
0.9277777777777778 [1,0.891667,0.997222,0.994444,0.919444,0.95,0.733333,0.994444,1,0.797222]
area_under_roc_curve
0.9111111111111111 [1,0.905556,0.966667,0.9,0.847222,0.975,0.755556,0.994444,0.975,0.791667]
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
0.8618253467923523 [1,0.837209,0.95,0.947368,0.857143,0.974359,0.652174,0.9,1,0.5]
f_measure
0.8340172260881578 [1,0.780488,0.923077,0.894737,0.820513,0.878049,0.540541,0.883721,1,0.619048]
f_measure
0.8430561974442025 [1,0.818182,0.974359,0.894737,0.883721,0.95,0.5,0.923077,1,0.486486]
f_measure
0.9199663494400336 [1,0.842105,0.974359,0.952381,0.909091,0.947368,0.85,0.95,0.974359,0.8]
f_measure
0.8090610194476211 [1,0.717949,0.918919,0.9,0.744186,0.842105,0.564103,0.863636,0.97561,0.564103]
f_measure
0.8590180504929585 [1,0.809524,0.95,0.842105,0.833333,0.930233,0.666667,0.952381,0.974359,0.631579]
f_measure
0.858596065701329 [1,0.769231,0.918919,0.952381,0.842105,0.95,0.714286,0.844444,1,0.594595]
f_measure
0.8847192482416532 [1,0.820513,0.97561,0.926829,0.864865,0.974359,0.7,0.930233,0.923077,0.731707]
f_measure
0.8680254492566043 [1,0.820513,0.97561,0.952381,0.871795,0.947368,0.555556,0.952381,1,0.604651]
f_measure
0.8424202113675798 [1,0.772727,0.904762,0.888889,0.8,0.974359,0.578947,0.952381,0.974359,0.577778]
kappa
0.85
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.9111111111111112
kappa
0.788888888888889
kappa
0.8444444444444444
kappa
0.8444444444444444
kappa
0.8722222222222222
kappa
0.8555555555555555
kappa
0.8222222222222222
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.9163394007551472
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8797378885855239
kb_relative_information_score
0.8640515262271141
kb_relative_information_score
0.8326788015102943
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.016000000000000004
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.023000000000000007
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.032000000000000015
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
precision
0.8694380257423735 [1,0.782609,0.95,1,0.818182,1,0.576923,0.9,1,0.666667]
precision
0.8358197089251067 [1,0.761905,0.947368,0.944444,0.842105,0.857143,0.588235,0.826087,1,0.590909]
precision
0.8447311586724697 [1,0.75,1,0.944444,0.826087,0.95,0.5,0.947368,1,0.529412]
precision
0.9231313131313132 [1,0.888889,1,0.909091,0.833333,1,0.85,0.95,1,0.8]
precision
0.8123325523954813 [1,0.736842,1,0.9,0.695652,0.888889,0.578947,0.791667,0.952381,0.578947]
precision
0.8630802591128679 [1,0.772727,0.95,0.888889,0.9375,0.869565,0.636364,0.909091,1,0.666667]
precision
0.8626330487537918 [1,0.789474,1,0.909091,0.888889,0.95,0.681818,0.76,1,0.647059]
precision
0.8871643943618637 [1,0.842105,0.952381,0.904762,0.941176,1,0.7,0.869565,0.947368,0.714286]
precision
0.8697622267130276 [1,0.842105,0.952381,0.909091,0.894737,1,0.625,0.909091,1,0.565217]
precision
0.8545505050505051 [1,0.708333,0.863636,1,0.933333,1,0.611111,0.909091,1,0.52]
predictive_accuracy
0.865
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.92
predictive_accuracy
0.81
predictive_accuracy
0.86
predictive_accuracy
0.86
predictive_accuracy
0.885
predictive_accuracy
0.87
predictive_accuracy
0.84
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.865 [1,0.9,0.95,0.9,0.9,0.95,0.75,0.9,1,0.4]
recall
0.835 [1,0.8,0.9,0.85,0.8,0.9,0.5,0.95,1,0.65]
recall
0.845 [1,0.9,0.95,0.85,0.95,0.95,0.5,0.9,1,0.45]
recall
0.92 [1,0.8,0.95,1,1,0.9,0.85,0.95,0.95,0.8]
recall
0.81 [1,0.7,0.85,0.9,0.8,0.8,0.55,0.95,1,0.55]
recall
0.86 [1,0.85,0.95,0.8,0.75,1,0.7,1,0.95,0.6]
recall
0.86 [1,0.75,0.85,1,0.8,0.95,0.75,0.95,1,0.55]
recall
0.885 [1,0.8,1,0.95,0.8,0.95,0.7,1,0.9,0.75]
recall
0.87 [1,0.8,1,1,0.85,0.9,0.5,1,1,0.65]
recall
0.84 [1,0.85,0.95,0.8,0.7,0.95,0.55,1,0.95,0.65]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.088888888888889
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.12777777777777796
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.17777777777777806
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.15165750888103102
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.1788854381999832
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.42163702135578424
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.505525029603437
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.5962847939999444
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
162.69726700011233
usercpu_time_millis
161.19972800015603
usercpu_time_millis
155.93821499987826
usercpu_time_millis
161.33873300032064
usercpu_time_millis
159.24710199942638
usercpu_time_millis
163.69168099981835
usercpu_time_millis
163.69519600038984
usercpu_time_millis
163.05750900028215
usercpu_time_millis
162.95887000023868
usercpu_time_millis
160.85625499999878
usercpu_time_millis_testing
24.181319000035728
usercpu_time_millis_testing
24.635349000163842
usercpu_time_millis_testing
23.900096000033955
usercpu_time_millis_testing
24.148809000053006
usercpu_time_millis_testing
24.382248999700096
usercpu_time_millis_testing
23.848709000048984
usercpu_time_millis_testing
24.822227000186103
usercpu_time_millis_testing
24.46084700022766
usercpu_time_millis_testing
24.65855599984934
usercpu_time_millis_testing
24.104702999920846
usercpu_time_millis_training
138.5159480000766
usercpu_time_millis_training
136.5643789999922
usercpu_time_millis_training
132.0381189998443
usercpu_time_millis_training
137.18992400026764
usercpu_time_millis_training
134.86485299972628
usercpu_time_millis_training
139.84297199976936
usercpu_time_millis_training
138.87296900020374
usercpu_time_millis_training
138.5966620000545
usercpu_time_millis_training
138.30031400038933
usercpu_time_millis_training
136.75155200007794
wall_clock_time_millis
162.71543502807617
wall_clock_time_millis
161.2071990966797
wall_clock_time_millis
155.9460163116455
wall_clock_time_millis
161.3452434539795
wall_clock_time_millis
159.25359725952148
wall_clock_time_millis
163.69915008544922
wall_clock_time_millis
163.70177268981934
wall_clock_time_millis
163.06519508361816
wall_clock_time_millis
162.9805564880371
wall_clock_time_millis
160.86363792419434
wall_clock_time_millis_testing
24.188756942749023
wall_clock_time_millis_testing
24.6431827545166
wall_clock_time_millis_testing
23.90766143798828
wall_clock_time_millis_testing
24.155378341674805
wall_clock_time_millis_testing
24.38974380493164
wall_clock_time_millis_testing
23.856401443481445
wall_clock_time_millis_testing
24.82914924621582
wall_clock_time_millis_testing
24.46889877319336
wall_clock_time_millis_testing
24.669647216796875
wall_clock_time_millis_testing
24.111270904541016
wall_clock_time_millis_training
138.52667808532715
wall_clock_time_millis_training
136.5640163421631
wall_clock_time_millis_training
132.03835487365723
wall_clock_time_millis_training
137.1898651123047
wall_clock_time_millis_training
134.86385345458984
wall_clock_time_millis_training
139.84274864196777
wall_clock_time_millis_training
138.87262344360352
wall_clock_time_millis_training
138.5962963104248
wall_clock_time_millis_training
138.31090927124023
wall_clock_time_millis_training
136.75236701965332