10403717
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8241484
C
2243.7148060052336
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.4321112261139166
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.041783952969886955
16360
kernel
"sigmoid"
16360
max_iter
-1
16360
probability
false
16360
random_state
4111
16360
shrinking
false
16360
tol
0.03616966878364668
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
21729219
description
https://api.openml.org/data/download/21729219/description.xml
-1
21729220
predictions
https://api.openml.org/data/download/21729220/predictions.arff
area_under_roc_curve
0.9144444444444446 [0.999722,0.893333,0.952778,0.938611,0.873889,0.953333,0.804444,0.960833,0.984722,0.782778]
average_cost
0
f_measure
0.8461843457309423 [0.997506,0.773585,0.933333,0.887781,0.796875,0.919598,0.643564,0.909976,0.982278,0.617347]
kappa
0.8288888888888889
kb_relative_information_score
0.8389533464536619
mean_absolute_error
0.030800000000000168
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8474989726619724 [0.995025,0.732143,0.957895,0.885572,0.831522,0.924242,0.637255,0.886256,0.994872,0.630208]
predictive_accuracy
0.846
prior_entropy
3.3219280948872383
recall
0.846 [1,0.82,0.91,0.89,0.765,0.915,0.65,0.935,0.97,0.605]
relative_absolute_error
0.17111111111110677
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17549928774784293
root_relative_squared_error
0.584997625826134
total_cost
0
area_under_roc_curve
0.9194444444444444 [1,0.952778,0.947222,0.925,0.938889,0.975,0.866667,0.925,1,0.663889]
area_under_roc_curve
0.9027777777777777 [1,0.880556,0.922222,0.925,0.861111,0.941667,0.730556,0.966667,1,0.8]
area_under_roc_curve
0.9138888888888889 [1,0.922222,0.922222,0.897222,0.961111,0.947222,0.827778,0.897222,1,0.763889]
area_under_roc_curve
0.9527777777777777 [1,0.938889,0.975,0.994444,0.941667,0.947222,0.919444,0.947222,0.975,0.888889]
area_under_roc_curve
0.886111111111111 [0.997222,0.861111,0.95,0.911111,0.766667,0.936111,0.747222,0.963889,1,0.727778]
area_under_roc_curve
0.9055555555555556 [1,0.836111,0.972222,0.888889,0.844444,0.963889,0.847222,0.994444,0.975,0.733333]
area_under_roc_curve
0.925 [1,0.888889,0.925,0.994444,0.916667,0.975,0.808333,0.961111,1,0.780556]
area_under_roc_curve
0.913888888888889 [1,0.861111,0.972222,0.966667,0.841667,0.947222,0.802778,0.994444,0.922222,0.830556]
area_under_roc_curve
0.9222222222222223 [1,0.863889,0.997222,0.988889,0.844444,0.925,0.741667,0.988889,1,0.872222]
area_under_roc_curve
0.9027777777777779 [1,0.927778,0.944444,0.894444,0.822222,0.975,0.752778,0.969444,0.975,0.766667]
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
0.8519206800606938 [1,0.808511,0.923077,0.918919,0.857143,0.974359,0.666667,0.918919,1,0.451613]
f_measure
0.8250240652373679 [1,0.744186,0.894737,0.918919,0.75,0.878049,0.540541,0.904762,1,0.619048]
f_measure
0.8456417953786375 [1,0.75,0.894737,0.864865,0.863636,0.923077,0.666667,0.864865,1,0.628571]
f_measure
0.915423925667828 [1,0.857143,0.974359,0.952381,0.878049,0.923077,0.871795,0.923077,0.974359,0.8]
f_measure
0.7913392198088895 [0.97561,0.75,0.947368,0.809524,0.647059,0.837209,0.536585,0.883721,1,0.526316]
f_measure
0.8278409574921203 [1,0.717949,0.95,0.8,0.777778,0.883721,0.666667,0.952381,0.974359,0.555556]
f_measure
0.8641346491346492 [1,0.8,0.918919,0.952381,0.85,0.974359,0.666667,0.863636,1,0.615385]
f_measure
0.8448786549813508 [1,0.75,0.95,0.904762,0.756757,0.923077,0.634146,0.952381,0.894737,0.682927]
f_measure
0.8561431820180495 [1,0.769231,0.97561,0.909091,0.777778,0.918919,0.606061,0.909091,1,0.695652]
f_measure
0.827452416773075 [1,0.782609,0.9,0.842105,0.764706,0.974359,0.564103,0.926829,0.974359,0.545455]
kappa
0.8388888888888889
kappa
0.8055555555555555
kappa
0.8277777777777777
kappa
0.9055555555555556
kappa
0.7722222222222223
kappa
0.8111111111111111
kappa
0.85
kappa
0.8277777777777777
kappa
0.8444444444444444
kappa
0.8055555555555555
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.9111106133023438
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8169924391518844
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.017000000000000005
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.03500000000000002
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
0.8677046150730361 [1,0.703704,0.947368,1,0.818182,1,0.571429,1,1,0.636364]
precision
0.8290020224163446 [1,0.695652,0.944444,1,0.75,0.857143,0.588235,0.863636,1,0.590909]
precision
0.8578386585894324 [1,0.642857,0.944444,0.941176,0.791667,0.947368,0.636364,0.941176,1,0.733333]
precision
0.917388926862611 [1,0.818182,1,0.909091,0.857143,0.947368,0.894737,0.947368,1,0.8]
precision
0.7948883242361504 [0.952381,0.75,1,0.772727,0.785714,0.782609,0.52381,0.826087,1,0.555556]
precision
0.8322019970875806 [1,0.736842,0.95,0.8,0.875,0.826087,0.6,0.909091,1,0.625]
precision
0.8666547049441786 [1,0.8,1,0.909091,0.85,1,0.684211,0.791667,1,0.631579]
precision
0.8473783835703341 [1,0.75,0.95,0.863636,0.823529,0.947368,0.619048,0.909091,0.944444,0.666667]
precision
0.866813668787353 [1,0.789474,0.952381,0.833333,0.875,1,0.769231,0.833333,1,0.615385]
precision
0.8393477282950967 [1,0.692308,0.9,0.888889,0.928571,1,0.578947,0.904762,1,0.5]
predictive_accuracy
0.855
predictive_accuracy
0.825
predictive_accuracy
0.845
predictive_accuracy
0.915
predictive_accuracy
0.795
predictive_accuracy
0.83
predictive_accuracy
0.865
predictive_accuracy
0.845
predictive_accuracy
0.86
predictive_accuracy
0.825
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
0.855 [1,0.95,0.9,0.85,0.9,0.95,0.8,0.85,1,0.35]
recall
0.825 [1,0.8,0.85,0.85,0.75,0.9,0.5,0.95,1,0.65]
recall
0.845 [1,0.9,0.85,0.8,0.95,0.9,0.7,0.8,1,0.55]
recall
0.915 [1,0.9,0.95,1,0.9,0.9,0.85,0.9,0.95,0.8]
recall
0.795 [1,0.75,0.9,0.85,0.55,0.9,0.55,0.95,1,0.5]
recall
0.83 [1,0.7,0.95,0.8,0.7,0.95,0.75,1,0.95,0.5]
recall
0.865 [1,0.8,0.85,1,0.85,0.95,0.65,0.95,1,0.6]
recall
0.845 [1,0.75,0.95,0.95,0.7,0.9,0.65,1,0.85,0.7]
recall
0.86 [1,0.75,1,1,0.7,0.85,0.5,1,1,0.8]
recall
0.825 [1,0.9,0.9,0.8,0.65,0.95,0.55,0.95,0.95,0.6]
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.09444444444444457
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.19444444444444475
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
0.17029386365926405
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.130384048104053
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.1870828693386971
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.4346134936801769
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6236095644623241
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
172.19845999989047
usercpu_time_millis
173.47483899993676
usercpu_time_millis
166.63435299960838
usercpu_time_millis
171.60236900008385
usercpu_time_millis
171.61890199986374
usercpu_time_millis
170.0958539995554
usercpu_time_millis
169.23364500007665
usercpu_time_millis
175.3018899999006
usercpu_time_millis
168.14264300001014
usercpu_time_millis
167.79990499981068
usercpu_time_millis_testing
23.034026000004815
usercpu_time_millis_testing
23.5867070000495
usercpu_time_millis_testing
23.194653999780712
usercpu_time_millis_testing
23.362018000170792
usercpu_time_millis_testing
23.706574000243563
usercpu_time_millis_testing
23.124723999899288
usercpu_time_millis_testing
23.380389000067225
usercpu_time_millis_testing
23.743283999920095
usercpu_time_millis_testing
23.67266600003859
usercpu_time_millis_testing
23.287352999886934
usercpu_time_millis_training
149.16443399988566
usercpu_time_millis_training
149.88813199988726
usercpu_time_millis_training
143.43969899982767
usercpu_time_millis_training
148.24035099991306
usercpu_time_millis_training
147.91232799962017
usercpu_time_millis_training
146.9711299996561
usercpu_time_millis_training
145.85325600000942
usercpu_time_millis_training
151.5586059999805
usercpu_time_millis_training
144.46997699997155
usercpu_time_millis_training
144.51255199992374
wall_clock_time_millis
172.20044136047363
wall_clock_time_millis
173.48575592041016
wall_clock_time_millis
166.63742065429688
wall_clock_time_millis
171.6024875640869
wall_clock_time_millis
171.62275314331055
wall_clock_time_millis
170.09758949279785
wall_clock_time_millis
169.2349910736084
wall_clock_time_millis
175.3063201904297
wall_clock_time_millis
168.14327239990234
wall_clock_time_millis
167.81353950500488
wall_clock_time_millis_testing
23.041725158691406
wall_clock_time_millis_testing
23.593425750732422
wall_clock_time_millis_testing
23.201465606689453
wall_clock_time_millis_testing
23.36859703063965
wall_clock_time_millis_testing
23.71501922607422
wall_clock_time_millis_testing
23.131132125854492
wall_clock_time_millis_testing
23.387432098388672
wall_clock_time_millis_testing
23.75197410583496
wall_clock_time_millis_testing
23.67877960205078
wall_clock_time_millis_testing
23.294925689697266
wall_clock_time_millis_training
149.15871620178223
wall_clock_time_millis_training
149.89233016967773
wall_clock_time_millis_training
143.43595504760742
wall_clock_time_millis_training
148.23389053344727
wall_clock_time_millis_training
147.90773391723633
wall_clock_time_millis_training
146.96645736694336
wall_clock_time_millis_training
145.84755897521973
wall_clock_time_millis_training
151.55434608459473
wall_clock_time_millis_training
144.46449279785156
wall_clock_time_millis_training
144.51861381530762