10403871
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8241638
C
75.85388675638877
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.9292489285809464
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0007045253146731028
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
18897
16360
shrinking
false
16360
tol
0.024012502737352212
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
21729527
description
https://api.openml.org/data/download/21729527/description.xml
-1
21729528
predictions
https://api.openml.org/data/download/21729528/predictions.arff
area_under_roc_curve
0.87 [0.99,0.7775,0.949722,0.892222,0.812222,0.939722,0.739722,0.905,0.971111,0.722778]
average_cost
0
f_measure
0.7664991127953743 [0.989899,0.655271,0.907731,0.84127,0.704918,0.879607,0.496644,0.756637,0.922705,0.510309]
kappa
0.74
kb_relative_information_score
0.7552927472088123
mean_absolute_error
0.0468000000000004
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7749246451296439 [1,0.761589,0.905473,0.893258,0.777108,0.864734,0.449393,0.678571,0.892523,0.526596]
predictive_accuracy
0.7659999999999999
prior_entropy
3.3219280948872383
recall
0.766 [0.98,0.575,0.91,0.795,0.645,0.895,0.555,0.855,0.955,0.495]
relative_absolute_error
0.25999999999999424
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.21633307652784028
root_relative_squared_error
0.7211102550927899
total_cost
0
area_under_roc_curve
0.825 [0.95,0.733333,0.911111,0.847222,0.894444,0.972222,0.544444,0.844444,0.961111,0.591667]
area_under_roc_curve
0.8777777777777778 [1,0.838889,0.944444,0.897222,0.786111,0.938889,0.844444,0.875,0.969444,0.683333]
area_under_roc_curve
0.8916666666666666 [1,0.816667,0.947222,0.838889,0.863889,0.944444,0.813889,0.855556,1,0.836111]
area_under_roc_curve
0.8722222222222222 [0.975,0.741667,0.95,0.969444,0.858333,0.891667,0.741667,0.852778,0.969444,0.772222]
area_under_roc_curve
0.8777777777777778 [1,0.761111,0.972222,0.866667,0.838889,0.963889,0.744444,0.902778,0.994444,0.733333]
area_under_roc_curve
0.8694444444444442 [1,0.794444,0.969444,0.875,0.738889,0.930556,0.769444,0.952778,0.966667,0.697222]
area_under_roc_curve
0.8888888888888888 [1,0.719444,0.925,0.938889,0.794444,0.941667,0.816667,0.944444,0.997222,0.811111]
area_under_roc_curve
0.8805555555555554 [0.975,0.813889,0.969444,0.916667,0.813889,0.922222,0.786111,0.933333,0.941667,0.733333]
area_under_roc_curve
0.8777777777777778 [1,0.763889,0.997222,0.897222,0.763889,0.944444,0.691667,0.936111,0.997222,0.786111]
area_under_roc_curve
0.8388888888888887 [1,0.791667,0.911111,0.875,0.769444,0.947222,0.644444,0.952778,0.913889,0.583333]
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
0.6872451778058186 [0.947368,0.555556,0.809524,0.8,0.842105,0.95,0.181818,0.652174,0.863636,0.27027]
f_measure
0.7768201003660917 [1,0.736842,0.9,0.864865,0.648649,0.857143,0.652174,0.711111,0.926829,0.470588]
f_measure
0.8079351132878568 [1,0.722222,0.923077,0.736842,0.769231,0.9,0.595745,0.714286,1,0.717949]
f_measure
0.7714397572653534 [0.974359,0.606061,0.947368,0.926829,0.731707,0.820513,0.511628,0.697674,0.926829,0.571429]
f_measure
0.7758449418118941 [1,0.611111,0.95,0.789474,0.736842,0.883721,0.52381,0.755556,0.952381,0.555556]
f_measure
0.7611040311976324 [1,0.705882,0.926829,0.857143,0.588235,0.8,0.55814,0.808511,0.904762,0.461538]
f_measure
0.7969154005368344 [1,0.580645,0.918919,0.857143,0.705882,0.878049,0.608696,0.76,0.97561,0.684211]
f_measure
0.7856308133749207 [0.974359,0.702703,0.926829,0.85,0.702703,0.894737,0.553191,0.818182,0.878049,0.555556]
f_measure
0.7802652416134029 [1,0.628571,0.97561,0.864865,0.628571,0.9,0.439024,0.837209,0.97561,0.553191]
f_measure
0.7163236806438675 [1,0.685714,0.809524,0.857143,0.666667,0.923077,0.333333,0.808511,0.829268,0.25]
kappa
0.65
kappa
0.7555555555555555
kappa
0.7833333333333334
kappa
0.7444444444444445
kappa
0.7555555555555555
kappa
0.7388888888888889
kappa
0.7777777777777778
kappa
0.7611111111111112
kappa
0.7555555555555555
kappa
0.6777777777777777
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.759475777171048
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.775162139529458
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.6967303277374072
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.046
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.057999999999999954
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
0.6999323552264728 [1,0.625,0.772727,0.933333,0.888889,0.95,0.166667,0.576923,0.791667,0.294118]
precision
0.783613197260256 [1,0.777778,0.9,0.941176,0.705882,0.818182,0.576923,0.64,0.904762,0.571429]
precision
0.8164298688640794 [1,0.8125,0.947368,0.777778,0.789474,0.9,0.518519,0.681818,1,0.736842]
precision
0.7811034884261429 [1,0.769231,1,0.904762,0.714286,0.842105,0.478261,0.652174,0.904762,0.545455]
precision
0.778878897672376 [1,0.6875,0.95,0.833333,0.777778,0.826087,0.5,0.68,0.909091,0.625]
precision
0.7758953884491643 [1,0.857143,0.904762,1,0.714286,0.72,0.521739,0.703704,0.863636,0.473684]
precision
0.8197047397047396 [1,0.818182,1,0.818182,0.857143,0.857143,0.538462,0.633333,0.952381,0.722222]
precision
0.794224245253657 [1,0.764706,0.904762,0.85,0.764706,0.944444,0.481481,0.75,0.857143,0.625]
precision
0.7905266647721889 [1,0.733333,0.952381,0.941176,0.733333,0.9,0.428571,0.782609,0.952381,0.481481]
precision
0.7415191338875549 [1,0.8,0.772727,1,0.846154,0.947368,0.285714,0.703704,0.809524,0.25]
predictive_accuracy
0.685
predictive_accuracy
0.78
predictive_accuracy
0.805
predictive_accuracy
0.77
predictive_accuracy
0.78
predictive_accuracy
0.765
predictive_accuracy
0.8
predictive_accuracy
0.785
predictive_accuracy
0.78
predictive_accuracy
0.71
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
0.685 [0.9,0.5,0.85,0.7,0.8,0.95,0.2,0.75,0.95,0.25]
recall
0.78 [1,0.7,0.9,0.8,0.6,0.9,0.75,0.8,0.95,0.4]
recall
0.805 [1,0.65,0.9,0.7,0.75,0.9,0.7,0.75,1,0.7]
recall
0.77 [0.95,0.5,0.9,0.95,0.75,0.8,0.55,0.75,0.95,0.6]
recall
0.78 [1,0.55,0.95,0.75,0.7,0.95,0.55,0.85,1,0.5]
recall
0.765 [1,0.6,0.95,0.75,0.5,0.9,0.6,0.95,0.95,0.45]
recall
0.8 [1,0.45,0.85,0.9,0.6,0.9,0.7,0.95,1,0.65]
recall
0.785 [0.95,0.65,0.95,0.85,0.65,0.85,0.65,0.9,0.9,0.5]
recall
0.78 [1,0.55,1,0.8,0.55,0.9,0.45,0.9,1,0.65]
recall
0.71 [1,0.6,0.85,0.75,0.55,0.9,0.4,0.95,0.85,0.25]
relative_absolute_error
0.35
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.32222222222222235
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
0.25099800796022254
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.21447610589527216
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.2408318915758458
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.8027729719194865
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
881.4734309999039
usercpu_time_millis
879.058958999849
usercpu_time_millis
879.2618100001164
usercpu_time_millis
877.2971289999987
usercpu_time_millis
878.7140150002415
usercpu_time_millis
879.9360569996679
usercpu_time_millis
879.0605650001453
usercpu_time_millis
878.3059009997487
usercpu_time_millis
878.3456940000178
usercpu_time_millis
876.2305979998928
usercpu_time_millis_testing
58.38511499996457
usercpu_time_millis_testing
57.87414799988255
usercpu_time_millis_testing
58.326113000020996
usercpu_time_millis_testing
57.88836200008518
usercpu_time_millis_testing
57.851417000165384
usercpu_time_millis_testing
57.91065299990805
usercpu_time_millis_testing
57.90224800011856
usercpu_time_millis_testing
57.89102099970478
usercpu_time_millis_testing
57.84500899972045
usercpu_time_millis_testing
57.81672000011895
usercpu_time_millis_training
823.0883159999394
usercpu_time_millis_training
821.1848109999664
usercpu_time_millis_training
820.9356970000954
usercpu_time_millis_training
819.4087669999135
usercpu_time_millis_training
820.8625980000761
usercpu_time_millis_training
822.0254039997599
usercpu_time_millis_training
821.1583170000267
usercpu_time_millis_training
820.4148800000439
usercpu_time_millis_training
820.5006850002974
usercpu_time_millis_training
818.4138779997738
wall_clock_time_millis
881.4611434936523
wall_clock_time_millis
879.0421485900879
wall_clock_time_millis
879.2545795440674
wall_clock_time_millis
877.2835731506348
wall_clock_time_millis
878.6952495574951
wall_clock_time_millis
879.9030780792236
wall_clock_time_millis
879.0416717529297
wall_clock_time_millis
878.2944679260254
wall_clock_time_millis
878.3268928527832
wall_clock_time_millis
876.1980533599854
wall_clock_time_millis_testing
58.39037895202637
wall_clock_time_millis_testing
57.878732681274414
wall_clock_time_millis_testing
58.33101272583008
wall_clock_time_millis_testing
57.90424346923828
wall_clock_time_millis_testing
57.86752700805664
wall_clock_time_millis_testing
57.91425704956055
wall_clock_time_millis_testing
57.9068660736084
wall_clock_time_millis_testing
57.89446830749512
wall_clock_time_millis_testing
57.849884033203125
wall_clock_time_millis_testing
57.821035385131836
wall_clock_time_millis_training
823.070764541626
wall_clock_time_millis_training
821.1634159088135
wall_clock_time_millis_training
820.9235668182373
wall_clock_time_millis_training
819.3793296813965
wall_clock_time_millis_training
820.8277225494385
wall_clock_time_millis_training
821.9888210296631
wall_clock_time_millis_training
821.1348056793213
wall_clock_time_millis_training
820.3999996185303
wall_clock_time_millis_training
820.4770088195801
wall_clock_time_millis_training
818.3770179748535