10404623
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8242389
C
0.3099804291283347
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.1653166106413675
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.0014551131590291116
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
6928
16360
shrinking
true
16360
tol
0.0015623958472888578
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
21731031
description
https://api.openml.org/data/download/21731031/description.xml
-1
21731032
predictions
https://api.openml.org/data/download/21731032/predictions.arff
area_under_roc_curve
0.8688888888888889 [0.9875,0.768056,0.949167,0.894444,0.809722,0.939444,0.739444,0.905,0.975,0.721111]
average_cost
0
f_measure
0.7636609114178421 [0.987342,0.643478,0.903226,0.842105,0.70137,0.877451,0.495536,0.756637,0.919048,0.510417]
kappa
0.7377777777777778
kb_relative_information_score
0.753201232227691
mean_absolute_error
0.0472000000000004
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.772332584989825 [1,0.765517,0.896552,0.888889,0.775758,0.860577,0.447581,0.678571,0.877273,0.532609]
predictive_accuracy
0.764
prior_entropy
3.3219280948872383
recall
0.764 [0.975,0.555,0.91,0.8,0.64,0.895,0.555,0.855,0.965,0.49]
relative_absolute_error
0.26222222222221636
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.21725560982400524
root_relative_squared_error
0.7241853660800064
total_cost
0
area_under_roc_curve
0.825 [0.95,0.736111,0.911111,0.847222,0.894444,0.972222,0.544444,0.844444,0.958333,0.591667]
area_under_roc_curve
0.875 [1,0.813889,0.944444,0.897222,0.786111,0.936111,0.844444,0.875,0.969444,0.683333]
area_under_roc_curve
0.886111111111111 [0.975,0.791667,0.944444,0.863889,0.863889,0.944444,0.813889,0.855556,0.994444,0.813889]
area_under_roc_curve
0.8694444444444445 [0.975,0.716667,0.95,0.969444,0.858333,0.891667,0.738889,0.852778,0.969444,0.772222]
area_under_roc_curve
0.875 [1,0.761111,0.972222,0.866667,0.813889,0.961111,0.744444,0.902778,0.994444,0.733333]
area_under_roc_curve
0.8694444444444446 [1,0.794444,0.969444,0.872222,0.738889,0.933333,0.769444,0.952778,0.966667,0.697222]
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
0.8833333333333332 [0.975,0.816667,0.969444,0.916667,0.813889,0.922222,0.786111,0.933333,0.966667,0.733333]
area_under_roc_curve
0.8777777777777778 [1,0.763889,0.997222,0.897222,0.763889,0.944444,0.691667,0.936111,0.994444,0.788889]
area_under_roc_curve
0.8388888888888889 [1,0.766667,0.908333,0.875,0.769444,0.947222,0.644444,0.952778,0.938889,0.586111]
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
0.6869132874739283 [0.947368,0.571429,0.809524,0.8,0.842105,0.95,0.181818,0.652174,0.844444,0.27027]
f_measure
0.7714128046283187 [1,0.702703,0.9,0.864865,0.648649,0.837209,0.652174,0.711111,0.926829,0.470588]
f_measure
0.7963648848755233 [0.974359,0.685714,0.9,0.769231,0.769231,0.9,0.595745,0.714286,0.952381,0.702703]
f_measure
0.7659209059616184 [0.974359,0.5625,0.947368,0.926829,0.731707,0.820513,0.5,0.697674,0.926829,0.571429]
f_measure
0.7704225448962291 [1,0.611111,0.95,0.789474,0.702703,0.863636,0.52381,0.755556,0.952381,0.555556]
f_measure
0.7605412606348618 [1,0.705882,0.926829,0.833333,0.588235,0.818182,0.55814,0.808511,0.904762,0.461538]
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
0.7902540777542826 [0.974359,0.722222,0.926829,0.85,0.702703,0.894737,0.553191,0.818182,0.904762,0.555556]
f_measure
0.7791449514360067 [1,0.628571,0.97561,0.864865,0.628571,0.9,0.439024,0.837209,0.952381,0.565217]
f_measure
0.7140040030018783 [1,0.647059,0.790698,0.857143,0.666667,0.923077,0.333333,0.808511,0.857143,0.25641]
kappa
0.65
kappa
0.75
kappa
0.7722222222222223
kappa
0.7388888888888889
kappa
0.75
kappa
0.7388888888888889
kappa
0.7777777777777778
kappa
0.7666666666666667
kappa
0.7555555555555555
kappa
0.6777777777777777
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.7647045646238513
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7647045646238513
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.7803909269822614
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.6967303277374072
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.045
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.045
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.04200000000000001
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
0.7009323552264728 [1,0.666667,0.772727,0.933333,0.888889,0.95,0.166667,0.576923,0.76,0.294118]
precision
0.778748695464808 [1,0.764706,0.9,0.941176,0.705882,0.782609,0.576923,0.64,0.904762,0.571429]
precision
0.8053080860201602 [1,0.8,0.9,0.789474,0.789474,0.9,0.518519,0.681818,0.909091,0.764706]
precision
0.7771876578798776 [1,0.75,1,0.904762,0.714286,0.842105,0.458333,0.652174,0.904762,0.545455]
precision
0.7741296791443851 [1,0.6875,0.95,0.833333,0.764706,0.791667,0.5,0.68,0.909091,0.625]
precision
0.7726453884491642 [1,0.857143,0.904762,0.9375,0.714286,0.75,0.521739,0.703704,0.863636,0.473684]
precision
0.8197047397047396 [1,0.818182,1,0.818182,0.857143,0.857143,0.538462,0.633333,0.952381,0.722222]
precision
0.7996530076677136 [1,0.8125,0.904762,0.85,0.764706,0.944444,0.481481,0.75,0.863636,0.625]
precision
0.7880495122950366 [1,0.733333,0.952381,0.941176,0.733333,0.9,0.428571,0.782609,0.909091,0.5]
precision
0.7389124690040022 [1,0.785714,0.73913,1,0.846154,0.947368,0.285714,0.703704,0.818182,0.263158]
predictive_accuracy
0.685
predictive_accuracy
0.775
predictive_accuracy
0.795
predictive_accuracy
0.765
predictive_accuracy
0.775
predictive_accuracy
0.765
predictive_accuracy
0.8
predictive_accuracy
0.79
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
0.775 [1,0.65,0.9,0.8,0.6,0.9,0.75,0.8,0.95,0.4]
recall
0.795 [0.95,0.6,0.9,0.75,0.75,0.9,0.7,0.75,1,0.65]
recall
0.765 [0.95,0.45,0.9,0.95,0.75,0.8,0.55,0.75,0.95,0.6]
recall
0.775 [1,0.55,0.95,0.75,0.65,0.95,0.55,0.85,1,0.5]
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
0.79 [0.95,0.65,0.95,0.85,0.65,0.85,0.65,0.9,0.95,0.5]
recall
0.78 [1,0.55,1,0.8,0.55,0.9,0.45,0.9,1,0.65]
recall
0.71 [1,0.55,0.85,0.75,0.55,0.9,0.4,0.95,0.9,0.25]
relative_absolute_error
0.35
relative_absolute_error
0.2500000000000003
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.2500000000000003
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.23333333333333364
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
0.21213203435596426
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.21213203435596426
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.2408318915758458
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.707106781186548
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.707106781186548
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6831300510639737
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
880.129406999913
usercpu_time_millis
879.7144399995886
usercpu_time_millis
878.1931390003592
usercpu_time_millis
879.7323210001196
usercpu_time_millis
877.7214020001338
usercpu_time_millis
877.3860790006438
usercpu_time_millis
877.5326199993287
usercpu_time_millis
878.5941780006397
usercpu_time_millis
881.3234310009648
usercpu_time_millis
878.020323999408
usercpu_time_millis_testing
52.0743120005136
usercpu_time_millis_testing
52.049466999960714
usercpu_time_millis_testing
52.05564999960188
usercpu_time_millis_testing
52.0695049999631
usercpu_time_millis_testing
52.09002900028281
usercpu_time_millis_testing
52.00475000037841
usercpu_time_millis_testing
52.13556699982291
usercpu_time_millis_testing
52.10422900017875
usercpu_time_millis_testing
52.173369000229286
usercpu_time_millis_testing
52.11033099931228
usercpu_time_millis_training
828.0550949993994
usercpu_time_millis_training
827.6649729996279
usercpu_time_millis_training
826.1374890007573
usercpu_time_millis_training
827.6628160001565
usercpu_time_millis_training
825.631372999851
usercpu_time_millis_training
825.3813290002654
usercpu_time_millis_training
825.3970529995058
usercpu_time_millis_training
826.4899490004609
usercpu_time_millis_training
829.1500620007355
usercpu_time_millis_training
825.9099930000957
wall_clock_time_millis
880.4454803466797
wall_clock_time_millis
880.0277709960938
wall_clock_time_millis
878.5083293914795
wall_clock_time_millis
880.0768852233887
wall_clock_time_millis
878.0403137207031
wall_clock_time_millis
879.3795108795166
wall_clock_time_millis
877.8486251831055
wall_clock_time_millis
880.3920745849609
wall_clock_time_millis
881.6301822662354
wall_clock_time_millis
878.1273365020752
wall_clock_time_millis_testing
52.088022232055664
wall_clock_time_millis_testing
52.06298828125
wall_clock_time_millis_testing
52.068471908569336
wall_clock_time_millis_testing
52.083492279052734
wall_clock_time_millis_testing
52.10304260253906
wall_clock_time_millis_testing
52.0174503326416
wall_clock_time_millis_testing
52.15930938720703
wall_clock_time_millis_testing
52.11806297302246
wall_clock_time_millis_testing
52.38485336303711
wall_clock_time_millis_testing
52.12235450744629
wall_clock_time_millis_training
828.357458114624
wall_clock_time_millis_training
827.9647827148438
wall_clock_time_millis_training
826.4398574829102
wall_clock_time_millis_training
827.9933929443359
wall_clock_time_millis_training
825.9372711181641
wall_clock_time_millis_training
827.362060546875
wall_clock_time_millis_training
825.6893157958984
wall_clock_time_millis_training
828.2740116119385
wall_clock_time_millis_training
829.2453289031982
wall_clock_time_millis_training
826.0049819946289