10410591
1
Jan van Rijn
3510
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8248355
C
25197.17953304936
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
1.2621843281629253
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
30640
16360
shrinking
false
16360
tol
8.678667381392803e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
21742975
description
https://api.openml.org/data/download/21742975/description.xml
-1
21742976
predictions
https://api.openml.org/data/download/21742976/predictions.arff
area_under_roc_curve
0.9519407754262178 [0.962867,0.948554,0.959817,0.975045,0.961049,0.981829,0.971741,0.888663,0.893334]
average_cost
0
f_measure
0.9149861936915318 [0.932605,0.92268,0.920461,0.941683,0.933677,0.968783,0.959723,0.804988,0.818991]
kappa
0.9039351679129527
kb_relative_information_score
0.9078322832857585
mean_absolute_error
0.01882898861113933
mean_prior_absolute_error
0.19617789217468493
number_of_instances
9961 [1096,991,1614,1473,782,963,1170,1011,861]
precision
0.9151968674455112 [0.930909,0.943098,0.902381,0.919741,0.940337,0.970803,0.972783,0.811871,0.837379]
predictive_accuracy
0.9152695512498745
prior_entropy
3.1320692781356225
recall
0.9152695512498745 [0.934307,0.903128,0.939281,0.964698,0.92711,0.966771,0.947009,0.79822,0.801394]
relative_absolute_error
0.09597915648096178
root_mean_prior_squared_error
0.31319057364154096
root_mean_squared_error
0.13721876187730062
root_relative_squared_error
0.43813183864962973
total_cost
0
area_under_roc_curve
0.9564441750385123 [0.976584,0.94166,0.950541,0.989121,0.960936,0.976392,0.97095,0.91418,0.906753]
area_under_roc_curve
0.9520857047483638 [0.96338,0.980389,0.954461,0.973244,0.960935,0.968194,0.955558,0.906903,0.886558]
area_under_roc_curve
0.9453097624544984 [0.951724,0.936049,0.943947,0.9822,0.952405,0.987361,0.972084,0.855163,0.902901]
area_under_roc_curve
0.9576184598179374 [0.982978,0.952316,0.964517,0.980962,0.97218,0.989028,0.97379,0.860191,0.92254]
area_under_roc_curve
0.9568499739350876 [0.97047,0.936049,0.976175,0.977693,0.985001,0.992569,0.990315,0.870015,0.882392]
area_under_roc_curve
0.9514838911661874 [0.977868,0.950644,0.963918,0.975926,0.95827,0.982153,0.968948,0.869456,0.885689]
area_under_roc_curve
0.9547368226428522 [0.944357,0.966352,0.971201,0.97089,0.943271,0.971736,0.968379,0.908579,0.92309]
area_under_roc_curve
0.9542880437842052 [0.954012,0.947823,0.964377,0.975926,0.960449,0.988578,0.973221,0.918961,0.877677]
area_under_roc_curve
0.9446987817483387 [0.961126,0.955694,0.954461,0.967357,0.933174,0.972558,0.972084,0.890934,0.860115]
area_under_roc_curve
0.9459005902254143 [0.946159,0.918884,0.95435,0.95702,0.983912,0.989691,0.972084,0.891974,0.886008]
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
0.9228116224365476 [0.941704,0.916667,0.924528,0.9701,0.948052,0.953368,0.948718,0.824645,0.845238]
f_measure
0.9156571665261984 [0.931507,0.945813,0.909091,0.943522,0.948052,0.962567,0.942731,0.835821,0.8]
f_measure
0.9031398387926692 [0.930233,0.90625,0.893617,0.947712,0.922078,0.969072,0.956897,0.758974,0.811429]
f_measure
0.9247641075659198 [0.959641,0.932642,0.922156,0.941176,0.948718,0.984293,0.969432,0.795699,0.850575]
f_measure
0.922768346840579 [0.954128,0.90625,0.942943,0.95302,0.962025,0.974359,0.982906,0.777778,0.807229]
f_measure
0.913894580159679 [0.950673,0.918367,0.919403,0.943522,0.923077,0.963731,0.960699,0.773869,0.8375]
f_measure
0.9196015231927412 [0.90411,0.939394,0.942249,0.945946,0.886076,0.95288,0.956522,0.848485,0.855491]
f_measure
0.9195848279057688 [0.918182,0.931937,0.921687,0.943522,0.947368,0.979381,0.965217,0.832536,0.809816]
f_measure
0.9019053766220221 [0.914798,0.923858,0.909091,0.927152,0.900662,0.958333,0.956897,0.81,0.775758]
f_measure
0.9049902494225037 [0.920188,0.903226,0.919753,0.901961,0.95,0.989583,0.956897,0.788462,0.795322]
kappa
0.9124999002688752
kappa
0.9043864039989851
kappa
0.8907105823831165
kappa
0.9157265985350715
kappa
0.9134823755314773
kappa
0.9031967041599348
kappa
0.9089795843766564
kappa
0.9089066395947443
kappa
0.8895540986230273
kappa
0.8918975734649787
kb_relative_information_score
0.9163693229389868
kb_relative_information_score
0.9087364594596339
kb_relative_information_score
0.895495472430833
kb_relative_information_score
0.9190698742982528
kb_relative_information_score
0.91620718696289
kb_relative_information_score
0.906577386590825
kb_relative_information_score
0.9126969629732516
kb_relative_information_score
0.9121869916077068
kb_relative_information_score
0.8934875993836329
kb_relative_information_score
0.8974921257238616
mean_absolute_error
0.017162598907834586
mean_absolute_error
0.01874163319946449
mean_absolute_error
0.021419009370816557
mean_absolute_error
0.016510486390004436
mean_absolute_error
0.016956715751896445
mean_absolute_error
0.018964747880410495
mean_absolute_error
0.01784917447568047
mean_absolute_error
0.01784917447568047
mean_absolute_error
0.02164212405176256
mean_absolute_error
0.02119589468987055
mean_prior_absolute_error
0.19618373676696743
mean_prior_absolute_error
0.19618024085643462
mean_prior_absolute_error
0.19617321397480805
mean_prior_absolute_error
0.19617005859165726
mean_prior_absolute_error
0.19617005859165726
mean_prior_absolute_error
0.19617005859165726
mean_prior_absolute_error
0.19617005859165726
mean_prior_absolute_error
0.1961846270628003
mean_prior_absolute_error
0.19618988603471826
mean_prior_absolute_error
0.19618697681621045
number_of_instances
997 [109,99,161,148,79,96,117,102,86]
number_of_instances
996 [109,99,161,148,79,96,117,101,86]
number_of_instances
996 [110,99,161,148,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,162,147,78,96,117,101,86]
number_of_instances
996 [110,99,161,147,78,97,117,101,86]
number_of_instances
996 [109,99,161,147,78,97,117,101,87]
number_of_instances
996 [109,100,161,147,78,97,117,101,86]
precision
0.923638190263535 [0.921053,0.946237,0.936306,0.954248,0.973333,0.948454,0.948718,0.798165,0.865854]
precision
0.9164887097109198 [0.927273,0.923077,0.887574,0.928105,0.973333,0.989011,0.972727,0.84,0.809524]
precision
0.903685201964905 [0.952381,0.935484,0.875,0.917722,0.934211,0.959184,0.965217,0.787234,0.797753]
precision
0.9260216240838474 [0.946903,0.957447,0.895349,0.90566,0.948718,0.989474,0.991071,0.870588,0.840909]
precision
0.9226260559299125 [0.962963,0.935484,0.918129,0.940397,0.95,0.959596,0.982906,0.793814,0.8375]
precision
0.9146275270714711 [0.938053,0.927835,0.890173,0.922078,0.923077,0.958763,0.982143,0.785714,0.905405]
precision
0.919782516613146 [0.908257,0.939394,0.928144,0.939597,0.875,0.957895,0.973451,0.865979,0.850575]
precision
0.9209501179838838 [0.918182,0.967391,0.894737,0.922078,0.972973,0.979381,0.982301,0.805556,0.857143]
precision
0.9022834128573113 [0.894737,0.928571,0.887574,0.903226,0.931507,0.968421,0.965217,0.818182,0.820513]
precision
0.9071964143935619 [0.942308,0.976744,0.91411,0.867925,0.926829,1,0.965217,0.766355,0.8]
predictive_accuracy
0.9227683049147443
predictive_accuracy
0.9156626506024097
predictive_accuracy
0.9036144578313252
predictive_accuracy
0.92570281124498
predictive_accuracy
0.9236947791164658
predictive_accuracy
0.9146586345381525
predictive_accuracy
0.9196787148594378
predictive_accuracy
0.9196787148594378
predictive_accuracy
0.9026104417670683
predictive_accuracy
0.9046184738955823
prior_entropy
3.132430663273403
prior_entropy
3.132262035209831
prior_entropy
3.1317736021645377
prior_entropy
3.1316412752162583
prior_entropy
3.1316412752162583
prior_entropy
3.1316412752162583
prior_entropy
3.1316412752162583
prior_entropy
3.1323886940047636
prior_entropy
3.1327378945582915
prior_entropy
3.132534428442531
recall
0.9227683049147443 [0.963303,0.888889,0.913043,0.986486,0.924051,0.958333,0.948718,0.852941,0.825581]
recall
0.9156626506024096 [0.93578,0.969697,0.931677,0.959459,0.924051,0.9375,0.91453,0.831683,0.790698]
recall
0.9036144578313253 [0.909091,0.878788,0.913043,0.97973,0.910256,0.979167,0.948718,0.732673,0.825581]
recall
0.9257028112449799 [0.972727,0.909091,0.950617,0.979592,0.948718,0.979167,0.948718,0.732673,0.860465]
recall
0.9236947791164659 [0.945455,0.878788,0.969136,0.965986,0.974359,0.989583,0.982906,0.762376,0.77907]
recall
0.9146586345381527 [0.963636,0.909091,0.950617,0.965986,0.923077,0.96875,0.940171,0.762376,0.77907]
recall
0.9196787148594378 [0.9,0.939394,0.95679,0.952381,0.897436,0.947917,0.940171,0.831683,0.860465]
recall
0.9196787148594378 [0.918182,0.89899,0.950311,0.965986,0.923077,0.979381,0.948718,0.861386,0.767442]
recall
0.9026104417670683 [0.93578,0.919192,0.931677,0.952381,0.871795,0.948454,0.948718,0.80198,0.735632]
recall
0.9046184738955824 [0.899083,0.84,0.925466,0.938776,0.974359,0.979381,0.948718,0.811881,0.790698]
relative_absolute_error
0.08748227141896478
relative_absolute_error
0.09553272601586661
relative_absolute_error
0.10918416911682507
relative_absolute_error
0.08416415078089086
relative_absolute_error
0.08643885755875276
relative_absolute_error
0.09667503805913137
relative_absolute_error
0.0909882711144766
relative_absolute_error
0.09098151441787947
relative_absolute_error
0.11031212917842623
relative_absolute_error
0.10803925435747468
root_mean_prior_squared_error
0.313199904230858
root_mean_prior_squared_error
0.3131943232239145
root_mean_prior_squared_error
0.3131831049371266
root_mean_prior_squared_error
0.31317806729544206
root_mean_prior_squared_error
0.31317806729544206
root_mean_prior_squared_error
0.31317806729544206
root_mean_prior_squared_error
0.31317806729544206
root_mean_prior_squared_error
0.31320132551771146
root_mean_prior_squared_error
0.3132097209186992
root_mean_prior_squared_error
0.31320507668213426
root_mean_squared_error
0.1310061025595166
root_mean_squared_error
0.13690008473139997
root_mean_squared_error
0.14635234665292032
root_mean_squared_error
0.12849313752105376
root_mean_squared_error
0.13021795479847026
root_mean_squared_error
0.13771255527514728
root_mean_squared_error
0.1336008026760336
root_mean_squared_error
0.1336008026760336
root_mean_squared_error
0.14711262369954034
root_mean_squared_error
0.1455880994101872
root_relative_squared_error
0.4182827031228998
root_relative_squared_error
0.4371090871705389
root_relative_squared_error
0.4673060083566814
root_relative_squared_error
0.4102877913217259
root_relative_squared_error
0.4157952564271586
root_relative_squared_error
0.439726052543883
root_relative_squared_error
0.4265969319939603
root_relative_squared_error
0.426565253053115
root_relative_squared_error
0.4696936712820826
root_relative_squared_error
0.46483314048559216
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
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total_cost
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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wall_clock_time_millis
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