10416092
1
Jan van Rijn
18
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253835
C
505.8614744886833
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.3312794632355816
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
73
16360
shrinking
true
16360
tol
6.758476764520093e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
18
mfeat-morphological
https://www.openml.org/data/download/18/dataset_18_mfeat-morphological.arff
-1
21753993
description
https://api.openml.org/data/download/21753993/description.xml
-1
21753994
predictions
https://api.openml.org/data/download/21753994/predictions.arff
area_under_roc_curve
0.5811111111111111 [0.755,0.538889,0.558333,0.535556,0.570278,0.573889,0.5125,0.571667,0.69,0.505]
average_cost
0
f_measure
0.26127567633020266 [0.660256,0.152,0.202703,0.16129,0.222222,0.221154,0.110145,0.247934,0.538462,0.096591]
kappa
0.1622222222222222
kb_relative_information_score
0.2114988521172598
mean_absolute_error
0.15079999999999572
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.381953307932851 [0.919643,0.38,0.138889,0.174419,0.191336,0.162736,0.131034,0.714286,0.895349,0.111842]
predictive_accuracy
0.24600000000000002
prior_entropy
3.3219280948872383
recall
0.246 [0.515,0.095,0.375,0.15,0.265,0.345,0.095,0.15,0.385,0.085]
relative_absolute_error
0.8377777777777282
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3883297567789465
root_relative_squared_error
1.2944325225964688
total_cost
0
area_under_roc_curve
0.5722222222222222 [0.7,0.511111,0.519444,0.486111,0.544444,0.638889,0.477778,0.547222,0.747222,0.55]
area_under_roc_curve
0.5833333333333333 [0.722222,0.613889,0.483333,0.519444,0.663889,0.516667,0.55,0.519444,0.75,0.494444]
area_under_roc_curve
0.5805555555555556 [0.672222,0.541667,0.580556,0.563889,0.519444,0.588889,0.541667,0.65,0.691667,0.455556]
area_under_roc_curve
0.5916666666666666 [0.725,0.544444,0.541667,0.516667,0.544444,0.669444,0.538889,0.619444,0.697222,0.519444]
area_under_roc_curve
0.5777777777777778 [0.822222,0.516667,0.522222,0.513889,0.541667,0.683333,0.511111,0.497222,0.672222,0.497222]
area_under_roc_curve
0.575 [0.797222,0.519444,0.586111,0.505556,0.575,0.488889,0.475,0.5,0.75,0.552778]
area_under_roc_curve
0.5833333333333333 [0.797222,0.538889,0.541667,0.513889,0.644444,0.519444,0.494444,0.619444,0.65,0.513889]
area_under_roc_curve
0.586111111111111 [0.797222,0.519444,0.625,0.547222,0.547222,0.566667,0.530556,0.594444,0.644444,0.488889]
area_under_roc_curve
0.5833333333333333 [0.772222,0.547222,0.511111,0.669444,0.522222,0.525,0.511111,0.597222,0.672222,0.505556]
area_under_roc_curve
0.5777777777777777 [0.744444,0.536111,0.672222,0.519444,0.6,0.541667,0.494444,0.572222,0.625,0.472222]
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
0.21515253610344778 [0.571429,0.076923,0.086957,0,0.166667,0.24,0,0.173913,0.645161,0.190476]
f_measure
0.23770359690975185 [0.6,0.344828,0,0.086957,0.255319,0.083333,0.190476,0.086957,0.666667,0.0625]
f_measure
0.26167550523475447 [0.5,0.16,0.212766,0.222222,0.086957,0.285714,0.171429,0.461538,0.516129,0]
f_measure
0.2662363175066253 [0.62069,0.166667,0.16,0.083333,0.166667,0.255034,0.166667,0.37037,0.551724,0.121212]
f_measure
0.21143158064789944 [0.764706,0.083333,0.090909,0.08,0.16,0.25974,0.111111,0,0.5,0.064516]
f_measure
0.2460013192295801 [0.727273,0.153846,0.16,0.08,0.243243,0.086957,0.0625,0.37037,0.461538,0.114286]
f_measure
0.2576240744879955 [0.727273,0.086957,0.234483,0.173913,0.173913,0.230769,0.153846,0.307692,0.428571,0.058824]
f_measure
0.24158911326013516 [0.6875,0.173913,0.076923,0.255034,0.090909,0.095238,0.111111,0.32,0.5,0.105263]
f_measure
0.23191025601826376 [0.625,0.148148,0.253165,0.086957,0.333333,0.16,0.0625,0.25,0.4,0]
kappa
0.14444444444444446
kappa
0.16666666666666666
kappa
0.1611111111111111
kappa
0.18333333333333335
kappa
0.15555555555555553
kappa
0.14999999999999997
kappa
0.16666666666666666
kappa
0.17222222222222222
kappa
0.16666666666666666
kappa
0.15555555555555553
kb_relative_information_score
0.19476673226828134
kb_relative_information_score
0.21568188207949462
kb_relative_information_score
0.21045309462669148
kb_relative_information_score
0.23136824443790535
kb_relative_information_score
0.2052243071738884
kb_relative_information_score
0.1999955197210846
kb_relative_information_score
0.21568188207949454
kb_relative_information_score
0.22091066953229832
kb_relative_information_score
0.21568188207949487
kb_relative_information_score
0.2052243071738885
mean_absolute_error
0.1539999999999996
mean_absolute_error
0.14999999999999963
mean_absolute_error
0.15099999999999963
mean_absolute_error
0.14699999999999963
mean_absolute_error
0.1519999999999996
mean_absolute_error
0.1529999999999996
mean_absolute_error
0.14999999999999963
mean_absolute_error
0.14899999999999963
mean_absolute_error
0.14999999999999963
mean_absolute_error
0.1519999999999996
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
0.3896037296037296 [1,0.166667,0.333333,0,0.5,0.138462,0,0.666667,0.909091,0.181818]
precision
0.37861340679522504 [0.9,0.555556,0,0.333333,0.14876,0.25,0.181818,0.333333,1,0.083333]
precision
0.458814443132625 [0.875,0.4,0.123967,0.428571,0.333333,0.5,0.2,1,0.727273,0]
precision
0.4741807578726183 [1,0.5,0.4,0.25,0.5,0.147287,0.1875,0.714286,0.888889,0.153846]
precision
0.35187342508238023 [0.928571,0.25,0.5,0.2,0.4,0.149254,0.125,0,0.875,0.090909]
precision
0.4261320970695971 [0.923077,0.333333,0.4,0.2,0.140625,0.333333,0.083333,0.714286,1,0.133333]
precision
0.48717335646809334 [0.923077,0.333333,0.136,0.666667,0.666667,0.5,0.157895,0.666667,0.75,0.071429]
precision
0.5308397932816538 [0.916667,0.666667,0.166667,0.147287,0.5,1,0.125,0.8,0.875,0.111111]
precision
0.4830641821946169 [0.833333,0.285714,0.144928,0.333333,1,0.4,0.083333,0.75,1,0]
predictive_accuracy
0.23
predictive_accuracy
0.25
predictive_accuracy
0.245
predictive_accuracy
0.265
predictive_accuracy
0.24
predictive_accuracy
0.235
predictive_accuracy
0.25
predictive_accuracy
0.255
predictive_accuracy
0.25
predictive_accuracy
0.24
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
0.23 [0.4,0.05,0.05,0,0.1,0.9,0,0.1,0.5,0.2]
recall
0.25 [0.45,0.25,0,0.05,0.9,0.05,0.2,0.05,0.5,0.05]
recall
0.245 [0.35,0.1,0.75,0.15,0.05,0.2,0.15,0.3,0.4,0]
recall
0.265 [0.45,0.1,0.1,0.05,0.1,0.95,0.15,0.25,0.4,0.1]
recall
0.24 [0.65,0.05,0.05,0.05,0.1,1,0.1,0,0.35,0.05]
recall
0.235 [0.6,0.05,0.8,0.05,0.15,0,0,0,0.5,0.2]
recall
0.25 [0.6,0.1,0.1,0.05,0.9,0.05,0.05,0.25,0.3,0.1]
recall
0.255 [0.6,0.05,0.85,0.1,0.1,0.15,0.15,0.2,0.3,0.05]
recall
0.25 [0.55,0.1,0.05,0.95,0.05,0.05,0.1,0.2,0.35,0.1]
recall
0.24 [0.5,0.1,1,0.05,0.2,0.1,0.05,0.15,0.25,0]
relative_absolute_error
0.8555555555555543
relative_absolute_error
0.8333333333333321
relative_absolute_error
0.8388888888888879
relative_absolute_error
0.8166666666666655
relative_absolute_error
0.8444444444444431
relative_absolute_error
0.8499999999999989
relative_absolute_error
0.8333333333333321
relative_absolute_error
0.8277777777777767
relative_absolute_error
0.8333333333333321
relative_absolute_error
0.8444444444444431
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
0.3924283374069712
root_mean_squared_error
0.3872983346207412
root_mean_squared_error
0.38858718455450847
root_mean_squared_error
0.3834057902536158
root_mean_squared_error
0.38987177379235805
root_mean_squared_error
0.39115214431215845
root_mean_squared_error
0.3872983346207412
root_mean_squared_error
0.38600518131237516
root_mean_squared_error
0.3872983346207412
root_mean_squared_error
0.38987177379235805
root_relative_squared_error
1.308094458023238
root_relative_squared_error
1.2909944487358047
root_relative_squared_error
1.2952906151816959
root_relative_squared_error
1.278019300845387
root_relative_squared_error
1.2995725793078607
root_relative_squared_error
1.303840481040529
root_relative_squared_error
1.2909944487358047
root_relative_squared_error
1.286683937707918
root_relative_squared_error
1.2909944487358047
root_relative_squared_error
1.2995725793078607
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
344.2955450000227
usercpu_time_millis
340.32106199992995
usercpu_time_millis
341.60811099991406
usercpu_time_millis
343.0574370004251
usercpu_time_millis
342.91149900036544
usercpu_time_millis
341.4801130002161
usercpu_time_millis
341.8959200007521
usercpu_time_millis
340.6802890003746
usercpu_time_millis
343.0523280003399
usercpu_time_millis
341.2055029994008
usercpu_time_millis_testing
15.678540999942925
usercpu_time_millis_testing
15.67887300006987
usercpu_time_millis_testing
15.688423000028706
usercpu_time_millis_testing
15.622969000105513
usercpu_time_millis_testing
15.670755999963148
usercpu_time_millis_testing
15.638150999620848
usercpu_time_millis_testing
15.654300000278454
usercpu_time_millis_testing
15.675642000132939
usercpu_time_millis_testing
15.724521999800345
usercpu_time_millis_testing
15.659173999665654
usercpu_time_millis_training
328.61700400007976
usercpu_time_millis_training
324.6421889998601
usercpu_time_millis_training
325.91968799988535
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
326.24162000047363
usercpu_time_millis_training
325.0046470002417
usercpu_time_millis_training
327.32780600053957
usercpu_time_millis_training
325.5463289997351
wall_clock_time_millis
344.2966938018799
wall_clock_time_millis
340.31176567077637
wall_clock_time_millis
341.5994644165039
wall_clock_time_millis
343.0473804473877
wall_clock_time_millis
342.91648864746094
wall_clock_time_millis
341.47024154663086
wall_clock_time_millis
341.8893814086914
wall_clock_time_millis
340.6720161437988
wall_clock_time_millis
343.04189682006836
wall_clock_time_millis
341.2003517150879
wall_clock_time_millis_testing
15.688419342041016
wall_clock_time_millis_testing
15.687704086303711
wall_clock_time_millis_testing
15.697240829467773
wall_clock_time_millis_testing
15.631437301635742
wall_clock_time_millis_testing
15.680789947509766
wall_clock_time_millis_testing
15.647411346435547
wall_clock_time_millis_testing
15.663862228393555
wall_clock_time_millis_testing
15.685081481933594
wall_clock_time_millis_testing
15.7318115234375
wall_clock_time_millis_testing
15.669107437133789
wall_clock_time_millis_training
328.60827445983887
wall_clock_time_millis_training
324.62406158447266
wall_clock_time_millis_training
325.90222358703613
wall_clock_time_millis_training
327.41594314575195
wall_clock_time_millis_training
327.2356986999512
wall_clock_time_millis_training
325.8228302001953
wall_clock_time_millis_training
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wall_clock_time_millis_training
324.98693466186523
wall_clock_time_millis_training
327.31008529663086
wall_clock_time_millis_training
325.5312442779541