10416129
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253872
C
0.26271348666137917
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.007417501296359656
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
10167
16360
shrinking
false
16360
tol
3.423505756905875e-05
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
21754068
description
https://api.openml.org/data/download/21754068/description.xml
-1
21754069
predictions
https://api.openml.org/data/download/21754069/predictions.arff
area_under_roc_curve
0.8686111111111111 [0.9875,0.768056,0.949167,0.892222,0.809444,0.939444,0.739444,0.904722,0.975,0.721111]
average_cost
0
f_measure
0.7632187100464862 [0.987342,0.643478,0.903226,0.84127,0.699454,0.877451,0.495536,0.754967,0.919048,0.510417]
kappa
0.7372222222222222
kb_relative_information_score
0.7526783534824107
mean_absolute_error
0.047300000000000404
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7720340049059287 [1,0.765517,0.896552,0.893258,0.771084,0.860577,0.447581,0.675889,0.877273,0.532609]
predictive_accuracy
0.7635
prior_entropy
3.3219280948872383
recall
0.7635 [0.975,0.555,0.91,0.795,0.64,0.895,0.555,0.855,0.965,0.49]
relative_absolute_error
0.26277777777777195
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2174856317093164
root_relative_squared_error
0.7249521056977102
total_cost
0
area_under_roc_curve
0.8222222222222223 [0.95,0.736111,0.911111,0.822222,0.891667,0.972222,0.544444,0.844444,0.958333,0.591667]
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
0.8861111111111108 [0.975,0.791667,0.944444,0.866667,0.863889,0.944444,0.813889,0.852778,0.994444,0.813889]
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
0.681224631444715 [0.947368,0.571429,0.809524,0.764706,0.820513,0.95,0.181818,0.652174,0.844444,0.27027]
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
0.7967280468053926 [0.974359,0.685714,0.9,0.789474,0.769231,0.9,0.595745,0.697674,0.952381,0.702703]
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
0.6444444444444445
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
0.6653576030205869
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
0.06399999999999993
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
0.6957778021771829 [1,0.666667,0.772727,0.928571,0.842105,0.95,0.166667,0.576923,0.76,0.294118]
precision
0.778748695464808 [1,0.764706,0.9,0.941176,0.705882,0.782609,0.576923,0.64,0.904762,0.571429]
precision
0.8067296240549706 [1,0.8,0.9,0.833333,0.789474,0.9,0.518519,0.652174,0.909091,0.764706]
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
0.68
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
0.68 [0.9,0.5,0.85,0.65,0.8,0.95,0.2,0.75,0.95,0.25]
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
0.35555555555555557
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
0.2529822128134702
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
0.8432740427115679
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
944.5757849989604
usercpu_time_millis
944.5190799997363
usercpu_time_millis
945.1615250000032
usercpu_time_millis
944.50856200001
usercpu_time_millis
944.7547319996374
usercpu_time_millis
944.9146439992546
usercpu_time_millis
945.0711300005423
usercpu_time_millis
944.9135139993814
usercpu_time_millis
944.660368998484
usercpu_time_millis
944.0453799998068
usercpu_time_millis_testing
54.71260299964342
usercpu_time_millis_testing
54.69737499970506
usercpu_time_millis_testing
54.69500999970478
usercpu_time_millis_testing
54.74122899977374
usercpu_time_millis_testing
54.71382999985508
usercpu_time_millis_testing
54.70224199962104
usercpu_time_millis_testing
54.80966800041642
usercpu_time_millis_testing
54.739585999413976
usercpu_time_millis_testing
54.70428699936747
usercpu_time_millis_testing
54.70389499987505
usercpu_time_millis_training
889.863181999317
usercpu_time_millis_training
889.8217050000312
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
890.1739279999674
usercpu_time_millis_training
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usercpu_time_millis_training
889.3414849999317
wall_clock_time_millis
944.6463584899902
wall_clock_time_millis
944.596529006958
wall_clock_time_millis
945.2333450317383
wall_clock_time_millis
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wall_clock_time_millis
944.8256492614746
wall_clock_time_millis
944.9858665466309
wall_clock_time_millis
945.1436996459961
wall_clock_time_millis
944.98610496521
wall_clock_time_millis
944.7247982025146
wall_clock_time_millis
944.1235065460205
wall_clock_time_millis_testing
54.71944808959961
wall_clock_time_millis_testing
54.703712463378906
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
54.74734306335449
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
54.70848083496094
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
54.71014976501465
wall_clock_time_millis_testing
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
890.2773857116699
wall_clock_time_millis_training
890.3276920318604
wall_clock_time_millis_training
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wall_clock_time_millis_training
890.0146484375
wall_clock_time_millis_training
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