10405587
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8243353
C
57.24337527153107
16360
cache_size
200
16360
class_weight
null
16360
coef0
-0.6646203598860321
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.010096896294281345
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
65
16360
shrinking
false
16360
tol
0.01811346028323272
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
21732959
description
https://api.openml.org/data/download/21732959/description.xml
-1
21732960
predictions
https://api.openml.org/data/download/21732960/predictions.arff
area_under_roc_curve
0.9011111111111111 [0.997222,0.863889,0.969167,0.918889,0.851389,0.961944,0.760278,0.959722,0.984167,0.744444]
average_cost
0
f_measure
0.8210116395986854 [0.995,0.755,0.942643,0.884817,0.768,0.918919,0.565757,0.853933,0.97733,0.548718]
kappa
0.8022222222222222
kb_relative_information_score
0.8138551666802072
mean_absolute_error
0.035600000000000236
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8230124748505673 [0.995,0.755,0.940299,0.928571,0.822857,0.903382,0.561576,0.77551,0.984772,0.563158]
predictive_accuracy
0.8220000000000001
prior_entropy
3.3219280948872383
recall
0.822 [0.995,0.755,0.945,0.845,0.72,0.935,0.57,0.95,0.97,0.535]
relative_absolute_error
0.197777777777773
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1886796226411327
root_relative_squared_error
0.6289320754704327
total_cost
0
area_under_roc_curve
0.8777777777777778 [0.975,0.927778,0.969444,0.875,0.891667,1,0.588889,0.913889,0.997222,0.638889]
area_under_roc_curve
0.8972222222222221 [1,0.863889,0.969444,0.922222,0.766667,0.936111,0.85,0.930556,0.975,0.758333]
area_under_roc_curve
0.913888888888889 [1,0.858333,0.975,0.888889,0.913889,0.944444,0.805556,0.941667,1,0.811111]
area_under_roc_curve
0.9027777777777777 [1,0.836111,0.975,0.969444,0.908333,0.944444,0.777778,0.913889,0.975,0.727778]
area_under_roc_curve
0.8944444444444443 [1,0.816667,0.975,0.916667,0.838889,0.963889,0.727778,0.983333,0.997222,0.725]
area_under_roc_curve
0.9027777777777777 [1,0.863889,0.994444,0.9,0.886111,0.944444,0.772222,0.988889,0.975,0.702778]
area_under_roc_curve
0.9222222222222222 [1,0.888889,0.95,0.947222,0.822222,0.969444,0.855556,0.977778,1,0.811111]
area_under_roc_curve
0.9083333333333333 [1,0.858333,0.972222,0.922222,0.847222,0.972222,0.8,0.983333,0.972222,0.755556]
area_under_roc_curve
0.9194444444444444 [1,0.844444,0.997222,0.997222,0.819444,0.969444,0.758333,0.983333,1,0.825]
area_under_roc_curve
0.8722222222222221 [0.997222,0.880556,0.913889,0.85,0.819444,0.975,0.666667,0.980556,0.95,0.688889]
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
0.7779488559476837 [0.974359,0.782609,0.926829,0.857143,0.820513,1,0.263158,0.829268,0.97561,0.35]
f_measure
0.8125836756255458 [1,0.769231,0.926829,0.894737,0.647059,0.837209,0.681818,0.8,0.974359,0.594595]
f_measure
0.8447593890918665 [1,0.731707,0.974359,0.8,0.829268,0.9,0.65,0.878049,1,0.684211]
f_measure
0.8239777691534563 [1,0.717949,0.974359,0.926829,0.790698,0.9,0.6,0.829268,0.974359,0.526316]
f_measure
0.8051455507859974 [1,0.722222,0.974359,0.85,0.736842,0.883721,0.526316,0.869565,0.97561,0.512821]
f_measure
0.8232353356743601 [1,0.769231,0.952381,0.888889,0.780488,0.9,0.571429,0.909091,0.974359,0.486486]
f_measure
0.8593810068710016 [1,0.8,0.947368,0.923077,0.764706,0.926829,0.714286,0.833333,1,0.684211]
f_measure
0.8344004364038409 [1,0.731707,0.95,0.894737,0.8,0.95,0.619048,0.869565,0.95,0.578947]
f_measure
0.8514006303806299 [1,0.777778,0.97561,0.97561,0.742857,0.926829,0.594595,0.869565,1,0.651163]
f_measure
0.7716813303684233 [0.97561,0.744186,0.829268,0.823529,0.742857,0.974359,0.4,0.851064,0.947368,0.428571]
kappa
0.7555555555555555
kappa
0.7944444444444444
kappa
0.8277777777777777
kappa
0.8055555555555555
kappa
0.788888888888889
kappa
0.8055555555555555
kappa
0.8444444444444444
kappa
0.8166666666666667
kappa
0.8388888888888889
kappa
0.7444444444444445
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.759475777171048
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.046
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
0.7828857399910031 [1,0.692308,0.904762,1,0.842105,1,0.277778,0.809524,0.952381,0.35]
precision
0.8199061838312747 [1,0.789474,0.904762,0.944444,0.785714,0.782609,0.625,0.72,1,0.647059]
precision
0.8453174603174604 [1,0.714286,1,0.8,0.809524,0.9,0.65,0.857143,1,0.722222]
precision
0.8245813809887036 [1,0.736842,1,0.904762,0.73913,0.9,0.6,0.809524,1,0.555556]
precision
0.8069847800940476 [1,0.8125,1,0.85,0.777778,0.826087,0.555556,0.769231,0.952381,0.526316]
precision
0.8268668998699958 [1,0.789474,0.909091,1,0.761905,0.9,0.545455,0.833333,1,0.529412]
precision
0.8699027872712084 [1,0.8,1,0.947368,0.928571,0.904762,0.681818,0.714286,1,0.722222]
precision
0.8413314463314464 [1,0.714286,0.95,0.944444,0.933333,0.95,0.590909,0.769231,0.95,0.611111]
precision
0.857617572112457 [1,0.875,0.952381,0.952381,0.866667,0.904762,0.647059,0.769231,1,0.608696]
precision
0.7874055252316122 [0.952381,0.695652,0.809524,1,0.866667,1,0.4,0.740741,1,0.409091]
predictive_accuracy
0.78
predictive_accuracy
0.815
predictive_accuracy
0.845
predictive_accuracy
0.825
predictive_accuracy
0.81
predictive_accuracy
0.825
predictive_accuracy
0.86
predictive_accuracy
0.835
predictive_accuracy
0.855
predictive_accuracy
0.77
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
0.78 [0.95,0.9,0.95,0.75,0.8,1,0.25,0.85,1,0.35]
recall
0.815 [1,0.75,0.95,0.85,0.55,0.9,0.75,0.9,0.95,0.55]
recall
0.845 [1,0.75,0.95,0.8,0.85,0.9,0.65,0.9,1,0.65]
recall
0.825 [1,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.5]
recall
0.81 [1,0.65,0.95,0.85,0.7,0.95,0.5,1,1,0.5]
recall
0.825 [1,0.75,1,0.8,0.8,0.9,0.6,1,0.95,0.45]
recall
0.86 [1,0.8,0.9,0.9,0.65,0.95,0.75,1,1,0.65]
recall
0.835 [1,0.75,0.95,0.85,0.7,0.95,0.65,1,0.95,0.55]
recall
0.855 [1,0.7,1,1,0.65,0.95,0.55,1,1,0.7]
recall
0.77 [1,0.8,0.85,0.7,0.65,0.95,0.4,1,0.9,0.45]
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.2555555555555558
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
0.20976176963403032
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.21447610589527216
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.714920352984241
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
309.07801000103063
usercpu_time_millis
310.7913510011713
usercpu_time_millis
307.7883989990369
usercpu_time_millis
310.02613800046674
usercpu_time_millis
309.72442800157296
usercpu_time_millis
311.6779529991618
usercpu_time_millis
311.6960549978103
usercpu_time_millis
309.33197800004564
usercpu_time_millis
311.9499430013093
usercpu_time_millis
307.44798900195747
usercpu_time_millis_testing
40.20616700108803
usercpu_time_millis_testing
40.5714500011527
usercpu_time_millis_testing
40.28480099987064
usercpu_time_millis_testing
40.25385999921127
usercpu_time_millis_testing
40.370672000790364
usercpu_time_millis_testing
40.436777999275364
usercpu_time_millis_testing
40.554518998760614
usercpu_time_millis_testing
40.618888999233604
usercpu_time_millis_testing
40.37830299967027
usercpu_time_millis_testing
40.28226400077983
usercpu_time_millis_training
268.8718429999426
usercpu_time_millis_training
270.2199010000186
usercpu_time_millis_training
267.50359799916623
usercpu_time_millis_training
269.7722780012555
usercpu_time_millis_training
269.3537560007826
usercpu_time_millis_training
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usercpu_time_millis_training
271.14153599904967
usercpu_time_millis_training
268.71308900081203
usercpu_time_millis_training
271.571640001639
usercpu_time_millis_training
267.16572500117763
wall_clock_time_millis
309.1387748718262
wall_clock_time_millis
310.84203720092773
wall_clock_time_millis
307.83605575561523
wall_clock_time_millis
310.0767135620117
wall_clock_time_millis
309.7715377807617
wall_clock_time_millis
311.725378036499
wall_clock_time_millis
311.74612045288086
wall_clock_time_millis
309.38100814819336
wall_clock_time_millis
311.9988441467285
wall_clock_time_millis
307.4970245361328
wall_clock_time_millis_testing
40.22073745727539
wall_clock_time_millis_testing
40.58575630187988
wall_clock_time_millis_testing
40.29726982116699
wall_clock_time_millis_testing
40.2677059173584
wall_clock_time_millis_testing
40.38238525390625
wall_clock_time_millis_testing
40.44842720031738
wall_clock_time_millis_testing
40.56835174560547
wall_clock_time_millis_testing
40.631771087646484
wall_clock_time_millis_testing
40.390729904174805
wall_clock_time_millis_testing
40.29488563537598
wall_clock_time_millis_training
268.9180374145508
wall_clock_time_millis_training
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wall_clock_time_millis_training
267.53878593444824
wall_clock_time_millis_training
269.8090076446533
wall_clock_time_millis_training
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wall_clock_time_millis_training
271.27695083618164
wall_clock_time_millis_training
271.1777687072754
wall_clock_time_millis_training
268.7492370605469
wall_clock_time_millis_training
271.6081142425537
wall_clock_time_millis_training
267.20213890075684