10415160
1
Jan van Rijn
3510
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8252903
C
3471.837112617107
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.00034229349508797124
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
3592
16360
shrinking
true
16360
tol
0.0007428696257677634
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
21752129
description
https://api.openml.org/data/download/21752129/description.xml
-1
21752130
predictions
https://api.openml.org/data/download/21752130/predictions.arff
area_under_roc_curve
0.9831833868707297 [0.992264,0.981912,0.979626,0.990069,0.988354,0.99822,0.993305,0.955862,0.964787]
average_cost
0
f_measure
0.969989270757751 [0.979647,0.954839,0.970662,0.986357,0.973316,0.996367,0.991416,0.923535,0.938776]
kappa
0.9660065664231703
kb_relative_information_score
0.9679366411513658
mean_absolute_error
0.006670459235462736
mean_prior_absolute_error
0.19617789217468493
number_of_instances
9961 [1096,991,1614,1473,782,963,1170,1011,861]
precision
0.9701029745674579 [0.9713,0.939453,0.977987,0.99109,0.967172,0.995851,0.99569,0.927218,0.942623]
predictive_accuracy
0.9699829334404177
prior_entropy
3.1320692781356225
recall
0.9699829334404176 [0.988139,0.970737,0.963445,0.98167,0.97954,0.996885,0.987179,0.919881,0.934959]
relative_absolute_error
0.03400209453531636
root_mean_prior_squared_error
0.31319057364154096
root_mean_squared_error
0.0816728794365837
root_relative_squared_error
0.2607769400175548
total_cost
0
area_under_roc_curve
0.9758147862408972 [0.996622,0.97256,0.969059,0.975173,0.992582,0.994792,0.990885,0.918217,0.978167]
area_under_roc_curve
0.9870609152009323 [0.993722,0.983176,0.985781,0.996032,0.998909,1,0.995726,0.961995,0.962369]
area_under_roc_curve
0.9848705512453846 [0.993197,0.99272,0.968345,0.996032,0.985546,0.999444,0.998862,0.965269,0.964017]
area_under_roc_curve
0.9826931948702495 [0.98978,0.980947,0.977796,0.985217,0.998366,1,0.991453,0.950976,0.972349]
area_under_roc_curve
0.9864588512414735 [0.98978,0.978126,0.992029,0.995421,0.998366,0.998889,0.987179,0.975729,0.952939]
area_under_roc_curve
0.9809592016927288 [0.990345,0.977011,0.97411,0.992019,0.966315,1,0.994589,0.964152,0.960721]
area_under_roc_curve
0.9815000062427744 [0.988652,0.988818,0.97351,0.992608,0.984456,0.994792,1,0.942193,0.963468]
area_under_roc_curve
0.9851661966131944 [0.999436,0.972518,0.985294,0.989796,0.999455,0.999444,0.982906,0.966945,0.968732]
area_under_roc_curve
0.9829915395700598 [0.992031,0.991605,0.98709,0.985806,0.97968,1,0.991453,0.951535,0.95867]
area_under_roc_curve
0.9843372748776533 [0.989135,0.981652,0.983274,0.992608,0.97968,0.994845,1,0.961995,0.966535]
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
0.9567435183284765 [0.973214,0.917874,0.955975,0.969072,0.981132,0.994764,0.987124,0.886598,0.937853]
f_measure
0.9768605727083294 [0.981818,0.969697,0.978193,0.993243,0.9875,1,0.995708,0.935323,0.935673]
f_measure
0.9728456883273326 [0.977578,0.975124,0.964856,0.993243,0.968153,0.994819,0.991525,0.926829,0.952381]
f_measure
0.9689927174035726 [0.981818,0.950495,0.974843,0.979452,0.981132,1,0.991379,0.915423,0.931818]
f_measure
0.9758431094027262 [0.981818,0.964467,0.984615,0.989831,0.981132,0.989691,0.987013,0.941748,0.945455]
f_measure
0.9660257357772779 [0.986301,0.954774,0.968553,0.986395,0.948052,1,0.987234,0.917874,0.91954]
f_measure
0.9668594020606426 [0.972973,0.942308,0.965517,0.989761,0.955975,0.994764,1,0.913706,0.946746]
f_measure
0.9739140184755528 [0.995475,0.954315,0.963415,0.989691,0.993631,0.994872,0.982609,0.940594,0.947368]
f_measure
0.969821849078262 [0.96861,0.965517,0.972308,0.982818,0.967742,1,0.991379,0.92,0.946746]
f_measure
0.9719882065571079 [0.977169,0.955665,0.978056,0.989761,0.967742,0.994819,1,0.935323,0.925714]
kappa
0.9511785988003904
kappa
0.9738449857567748
kappa
0.9693069408634736
kappa
0.9647656118945159
kappa
0.9726995199802647
kappa
0.9613433924529207
kappa
0.9624815078625829
kappa
0.9704265065111706
kappa
0.9658794659017332
kappa
0.9681667456181904
kb_relative_information_score
0.9548897165592132
kb_relative_information_score
0.9750832732561829
kb_relative_information_score
0.9714960132280788
kb_relative_information_score
0.9674427178573342
kb_relative_information_score
0.9736128697330154
kb_relative_information_score
0.9632695203697719
kb_relative_information_score
0.9646434920189055
kb_relative_information_score
0.9720719313810933
kb_relative_information_score
0.9672889363116386
kb_relative_information_score
0.9695815358449736
mean_absolute_error
0.009584308480998548
mean_absolute_error
0.005131637661758145
mean_absolute_error
0.006024096385542171
mean_absolute_error
0.006916555109326196
mean_absolute_error
0.0053547523427041515
mean_absolute_error
0.0075858991521642145
mean_absolute_error
0.007362784471218208
mean_absolute_error
0.005800981704596164
mean_absolute_error
0.006693440428380189
mean_absolute_error
0.006247211066488177
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
0.9578764534037051 [0.947826,0.87963,0.968153,0.986014,0.975,1,0.991379,0.934783,0.912088]
precision
0.9768733566673612 [0.972973,0.969697,0.98125,0.993243,0.975309,1,1,0.94,0.941176]
precision
0.9733017901998512 [0.964602,0.960784,0.993421,0.993243,0.962025,0.989691,0.983193,0.913462,0.97561]
precision
0.9694703449613481 [0.981818,0.932039,0.99359,0.986207,0.962963,1,1,0.92,0.911111]
precision
0.9762744858675281 [0.981818,0.969388,0.981595,0.986486,0.962963,0.979592,1,0.92381,0.987342]
precision
0.9664684643590542 [0.990826,0.95,0.987179,0.986395,0.960526,1,0.983051,0.896226,0.909091]
precision
0.9676129152783717 [0.964286,0.899083,0.980892,0.993151,0.938272,1,1,0.9375,0.963855]
precision
0.9741640054837781 [0.990991,0.959184,0.946108,1,0.987342,0.989796,1,0.940594,0.952941]
precision
0.9702321313358689 [0.947368,0.942308,0.963415,0.993056,0.974026,1,1,0.929293,0.97561]
precision
0.9722298141622366 [0.972727,0.941748,0.987342,0.993151,0.974026,1,1,0.94,0.910112]
predictive_accuracy
0.9568706118355066
predictive_accuracy
0.9769076305220884
predictive_accuracy
0.9728915662650602
predictive_accuracy
0.9688755020080322
predictive_accuracy
0.9759036144578314
predictive_accuracy
0.9658634538152611
predictive_accuracy
0.9668674698795181
predictive_accuracy
0.9738955823293174
predictive_accuracy
0.9698795180722891
predictive_accuracy
0.9718875502008032
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
0.9568706118355065 [1,0.959596,0.944099,0.952703,0.987342,0.989583,0.982906,0.843137,0.965116]
recall
0.9769076305220884 [0.990826,0.969697,0.975155,0.993243,1,1,0.991453,0.930693,0.930233]
recall
0.9728915662650602 [0.990909,0.989899,0.937888,0.993243,0.974359,1,1,0.940594,0.930233]
recall
0.9688755020080321 [0.981818,0.969697,0.95679,0.972789,1,1,0.982906,0.910891,0.953488]
recall
0.9759036144578314 [0.981818,0.959596,0.987654,0.993197,1,1,0.974359,0.960396,0.906977]
recall
0.9658634538152611 [0.981818,0.959596,0.950617,0.986395,0.935897,1,0.991453,0.940594,0.930233]
recall
0.9668674698795181 [0.981818,0.989899,0.950617,0.986395,0.974359,0.989583,1,0.891089,0.930233]
recall
0.9738955823293173 [1,0.949495,0.981366,0.979592,1,1,0.965812,0.940594,0.94186]
recall
0.9698795180722891 [0.990826,0.989899,0.981366,0.972789,0.961538,1,0.982906,0.910891,0.91954]
recall
0.9718875502008032 [0.981651,0.97,0.968944,0.986395,0.961538,0.989691,1,0.930693,0.94186]
relative_absolute_error
0.04885373598721417
relative_absolute_error
0.026157770218630198
relative_absolute_error
0.030708047564107124
relative_absolute_error
0.03525795505685975
relative_absolute_error
0.027296481334343033
relative_absolute_error
0.03867001522365263
relative_absolute_error
0.037532661834721676
relative_absolute_error
0.029568992185810883
relative_absolute_error
0.034117153354152524
relative_absolute_error
0.031843148652729455
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
0.09789948151547355
root_mean_squared_error
0.07163544975609594
root_mean_squared_error
0.0776150525706333
root_mean_squared_error
0.08316582897636622
root_mean_squared_error
0.07317617332646024
root_mean_squared_error
0.08709706741426036
root_mean_squared_error
0.0858066691535
root_mean_squared_error
0.07616417599236641
root_mean_squared_error
0.08181344894563601
root_mean_squared_error
0.07903930077175643
root_relative_squared_error
0.31257826133724603
root_relative_squared_error
0.22872524961086552
root_relative_squared_error
0.24782643554867043
root_relative_squared_error
0.2655544486067419
root_relative_squared_error
0.2336567626155896
root_relative_squared_error
0.27810717451070993
root_relative_squared_error
0.27398684044037086
root_relative_squared_error
0.24317960936617858
root_relative_squared_error
0.2612098012336998
root_relative_squared_error
0.2523563845421697
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
0
total_cost
0
total_cost
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total_cost
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usercpu_time_millis
2022.103958000116
usercpu_time_millis
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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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usercpu_time_millis
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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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usercpu_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis_testing
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