10401102
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8238872
C
198.52170738831154
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.5517261768673336
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.17946518979085072
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
36799
16360
shrinking
false
16360
tol
0.0024094235103802827
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
21723989
description
https://api.openml.org/data/download/21723989/description.xml
-1
21723991
predictions
https://api.openml.org/data/download/21723991/predictions.arff
area_under_roc_curve
0.9127777777777778 [1,0.883889,0.967778,0.932778,0.890833,0.956389,0.783611,0.961389,0.987222,0.763889]
average_cost
0
f_measure
0.8427471229701813 [1,0.76555,0.949495,0.892857,0.814249,0.926952,0.611529,0.897375,0.984848,0.584615]
kappa
0.8255555555555555
kb_relative_information_score
0.8358160739819802
mean_absolute_error
0.03140000000000018
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8434023431658191 [1,0.733945,0.959184,0.911458,0.829016,0.93401,0.613065,0.858447,0.994898,0.6]
predictive_accuracy
0.843
prior_entropy
3.3219280948872383
recall
0.843 [1,0.8,0.94,0.875,0.8,0.92,0.61,0.94,0.975,0.57]
relative_absolute_error
0.17444444444444007
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.177200451466694
root_relative_squared_error
0.5906681715556377
total_cost
0
area_under_roc_curve
0.9222222222222222 [1,0.930556,0.972222,0.897222,0.938889,0.975,0.825,0.944444,1,0.738889]
area_under_roc_curve
0.8944444444444444 [1,0.880556,0.947222,0.922222,0.816667,0.941667,0.702778,0.961111,1,0.772222]
area_under_roc_curve
0.9055555555555556 [1,0.902778,0.975,0.894444,0.961111,0.972222,0.769444,0.919444,1,0.661111]
area_under_roc_curve
0.9388888888888889 [1,0.816667,0.975,0.991667,0.955556,0.947222,0.919444,0.919444,0.975,0.888889]
area_under_roc_curve
0.8972222222222223 [1,0.833333,0.95,0.944444,0.858333,0.916667,0.777778,0.936111,1,0.755556]
area_under_roc_curve
0.9083333333333333 [1,0.905556,0.972222,0.894444,0.822222,0.966667,0.8,0.994444,0.975,0.752778]
area_under_roc_curve
0.9027777777777777 [1,0.880556,0.925,0.922222,0.891667,0.972222,0.777778,0.958333,1,0.7]
area_under_roc_curve
0.9305555555555555 [1,0.886111,0.997222,0.941667,0.869444,0.95,0.858333,0.991667,0.947222,0.863889]
area_under_roc_curve
0.9194444444444444 [1,0.894444,0.997222,0.994444,0.944444,0.95,0.677778,0.994444,1,0.741667]
area_under_roc_curve
0.9083333333333333 [1,0.908333,0.966667,0.925,0.85,0.972222,0.727778,0.994444,0.975,0.763889]
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
0.8585764781182016 [1,0.8,0.95,0.864865,0.857143,0.974359,0.651163,0.9,1,0.588235]
f_measure
0.8083822235955261 [1,0.744186,0.923077,0.894737,0.722222,0.878049,0.486486,0.863636,1,0.571429]
f_measure
0.8253090563387382 [1,0.755556,0.974359,0.842105,0.863636,0.95,0.55814,0.871795,1,0.4375]
f_measure
0.8893926352268111 [1,0.722222,0.974359,0.930233,0.826087,0.923077,0.871795,0.871795,0.974359,0.8]
f_measure
0.8145232408872435 [1,0.7,0.947368,0.9,0.731707,0.85,0.6,0.837209,1,0.578947]
f_measure
0.8344190432890122 [1,0.772727,0.95,0.842105,0.764706,0.904762,0.619048,0.952381,0.974359,0.564103]
f_measure
0.8246483283019391 [1,0.744186,0.918919,0.894737,0.820513,0.95,0.6,0.844444,1,0.473684]
f_measure
0.8746573140847254 [1,0.780488,0.97561,0.878049,0.810811,0.947368,0.731707,0.930233,0.923077,0.769231]
f_measure
0.852591769649118 [1,0.842105,0.97561,0.952381,0.9,0.947368,0.444444,0.952381,1,0.511628]
f_measure
0.8374296959411077 [1,0.790698,0.904762,0.918919,0.823529,0.95,0.526316,0.952381,0.974359,0.533333]
kappa
0.8444444444444444
kappa
0.788888888888889
kappa
0.8111111111111111
kappa
0.8777777777777778
kappa
0.7944444444444444
kappa
0.8166666666666667
kappa
0.8055555555555555
kappa
0.8611111111111112
kappa
0.8388888888888889
kappa
0.8166666666666667
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8849666760383273
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8692803136799173
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.827450014057491
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.022000000000000006
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.033000000000000015
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
0.865233965522968 [1,0.72,0.95,0.941176,0.818182,1,0.608696,0.9,1,0.714286]
precision
0.8123640873380071 [1,0.695652,0.947368,0.944444,0.8125,0.857143,0.529412,0.791667,1,0.545455]
precision
0.8310364861428934 [1,0.68,1,0.888889,0.791667,0.95,0.521739,0.894737,1,0.583333]
precision
0.8949676553423693 [1,0.8125,1,0.869565,0.730769,0.947368,0.894737,0.894737,1,0.8]
precision
0.8158005521049 [1,0.7,1,0.9,0.714286,0.85,0.6,0.782609,1,0.611111]
precision
0.8418377382851067 [1,0.708333,0.95,0.888889,0.928571,0.863636,0.590909,0.909091,1,0.578947]
precision
0.8292201881515382 [1,0.695652,1,0.944444,0.842105,0.95,0.6,0.76,1,0.5]
precision
0.8774474549545218 [1,0.761905,0.952381,0.857143,0.882353,1,0.714286,0.869565,0.947368,0.789474]
precision
0.8537712529016876 [1,0.888889,0.952381,0.909091,0.9,1,0.5,0.909091,1,0.478261]
precision
0.8497413263065436 [1,0.73913,0.863636,1,1,0.95,0.555556,0.909091,1,0.48]
predictive_accuracy
0.86
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.89
predictive_accuracy
0.815
predictive_accuracy
0.835
predictive_accuracy
0.825
predictive_accuracy
0.875
predictive_accuracy
0.855
predictive_accuracy
0.835
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
0.86 [1,0.9,0.95,0.8,0.9,0.95,0.7,0.9,1,0.5]
recall
0.81 [1,0.8,0.9,0.85,0.65,0.9,0.45,0.95,1,0.6]
recall
0.83 [1,0.85,0.95,0.8,0.95,0.95,0.6,0.85,1,0.35]
recall
0.89 [1,0.65,0.95,1,0.95,0.9,0.85,0.85,0.95,0.8]
recall
0.815 [1,0.7,0.9,0.9,0.75,0.85,0.6,0.9,1,0.55]
recall
0.835 [1,0.85,0.95,0.8,0.65,0.95,0.65,1,0.95,0.55]
recall
0.825 [1,0.8,0.85,0.85,0.8,0.95,0.6,0.95,1,0.45]
recall
0.875 [1,0.8,1,0.9,0.75,0.9,0.75,1,0.9,0.75]
recall
0.855 [1,0.8,1,1,0.9,0.9,0.4,1,1,0.55]
recall
0.835 [1,0.85,0.95,0.85,0.7,0.95,0.5,1,0.95,0.6]
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.1222222222222224
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.18333333333333365
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
0.16733200530681513
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.14832396974191328
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.18165902124584954
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.49441323247304453
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6055300708194988
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
193.95379000002322
usercpu_time_millis
190.06070099999306
usercpu_time_millis
182.54007299992736
usercpu_time_millis
192.39474999994854
usercpu_time_millis
189.04886199993598
usercpu_time_millis
185.20892300011838
usercpu_time_millis
190.61034400010612
usercpu_time_millis
187.38757900018754
usercpu_time_millis
179.10293600016303
usercpu_time_millis
186.16580399998384
usercpu_time_millis_testing
25.12593200003721
usercpu_time_millis_testing
25.493699999969976
usercpu_time_millis_testing
25.18155600000682
usercpu_time_millis_testing
25.402088999953776
usercpu_time_millis_testing
25.514148999945974
usercpu_time_millis_testing
25.240847000077338
usercpu_time_millis_testing
25.61802400009583
usercpu_time_millis_testing
25.716624000097
usercpu_time_millis_testing
25.354932000027475
usercpu_time_millis_testing
25.354568000011568
usercpu_time_millis_training
168.827857999986
usercpu_time_millis_training
164.56700100002308
usercpu_time_millis_training
157.35851699992054
usercpu_time_millis_training
166.99266099999477
usercpu_time_millis_training
163.53471299999
usercpu_time_millis_training
159.96807600004104
usercpu_time_millis_training
164.9923200000103
usercpu_time_millis_training
161.67095500009054
usercpu_time_millis_training
153.74800400013555
usercpu_time_millis_training
160.81123599997227
wall_clock_time_millis
193.9988136291504
wall_clock_time_millis
190.0925636291504
wall_clock_time_millis
182.5709342956543
wall_clock_time_millis
192.4266815185547
wall_clock_time_millis
189.09883499145508
wall_clock_time_millis
185.2397918701172
wall_clock_time_millis
190.6414031982422
wall_clock_time_millis
187.41965293884277
wall_clock_time_millis
179.13460731506348
wall_clock_time_millis
186.20920181274414
wall_clock_time_millis_testing
25.13599395751953
wall_clock_time_millis_testing
25.502443313598633
wall_clock_time_millis_testing
25.19059181213379
wall_clock_time_millis_testing
25.411128997802734
wall_clock_time_millis_testing
25.54154396057129
wall_clock_time_millis_testing
25.249958038330078
wall_clock_time_millis_testing
25.62689781188965
wall_clock_time_millis_testing
25.7260799407959
wall_clock_time_millis_testing
25.36487579345703
wall_clock_time_millis_testing
25.364398956298828
wall_clock_time_millis_training
168.86281967163086
wall_clock_time_millis_training
164.59012031555176
wall_clock_time_millis_training
157.3803424835205
wall_clock_time_millis_training
167.01555252075195
wall_clock_time_millis_training
163.5572910308838
wall_clock_time_millis_training
159.9898338317871
wall_clock_time_millis_training
165.01450538635254
wall_clock_time_millis_training
161.69357299804688
wall_clock_time_millis_training
153.76973152160645
wall_clock_time_millis_training
160.8448028564453