10412728
1
Jan van Rijn
3510
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8250491
C
1496.2779649940262
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.31152588678399
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
2042
16360
shrinking
false
16360
tol
3.398455189733069e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
375
JapaneseVowels
https://www.openml.org/data/download/52415/JapaneseVowels.arff
-1
21747249
description
https://api.openml.org/data/download/21747249/description.xml
-1
21747250
predictions
https://api.openml.org/data/download/21747250/predictions.arff
area_under_roc_curve
0.9962456364039722 [0.997381,0.999272,0.997782,0.999543,0.993755,0.999259,0.997636,0.990036,0.987091]
average_cost
0
f_measure
0.9932675994089037 [0.994984,0.997481,0.996283,0.998982,0.988491,0.997408,0.996152,0.98171,0.980163]
kappa
0.9923806336915442
kb_relative_information_score
0.9925132715674329
mean_absolute_error
0.0014947182902207475
mean_prior_absolute_error
0.19617789217468493
number_of_instances
9961 [1096,991,1614,1473,782,963,1170,1011,861]
precision
0.9932662133780431 [0.994531,0.995976,0.996283,0.998643,0.988491,0.995859,0.996578,0.981225,0.98476]
predictive_accuracy
0.9932737676940065
prior_entropy
3.1320692781356225
recall
0.9932737676940067 [0.995438,0.998991,0.996283,0.999321,0.988491,0.998962,0.995726,0.982196,0.97561]
relative_absolute_error
0.007619198441024071
root_mean_prior_squared_error
0.31319057364154096
root_mean_squared_error
0.038661586752495654
root_relative_squared_error
0.12344428602358057
total_cost
0
area_under_roc_curve
0.9977768225366405 [0.999437,0.999443,1,1,0.999455,1,1,0.994539,0.982558]
area_under_roc_curve
0.9960483736858122 [0.994285,1,0.996296,1,1,0.994792,0.995726,0.993374,0.987823]
area_under_roc_curve
0.9938796410254171 [0.998871,1,0.993789,1,0.998911,1,0.999431,0.977963,0.969831]
area_under_roc_curve
0.9971529753960006 [0.995455,1,0.998801,1,0.9925,1,1,0.98459,1]
area_under_roc_curve
0.995017968083164 [0.995455,0.998885,1,1,0.998911,0.998889,1,0.984031,0.970381]
area_under_roc_curve
0.9966887072789502 [0.995455,1,0.996914,1,0.986635,1,0.999431,0.99505,0.991988]
area_under_roc_curve
0.9972251212474676 [1,1,1,0.996599,1,1,0.991453,0.993374,0.993087]
area_under_roc_curve
0.9976560534579234 [1,0.999443,0.995697,0.999411,1,1,0.991453,0.99505,1]
area_under_roc_curve
0.9949493273701306 [1,1,0.999401,1,0.973814,0.998888,0.999431,0.993374,0.976461]
area_under_roc_curve
0.9960623262427517 [0.994849,0.995,0.996894,0.999411,0.987179,1,0.999431,0.988982,0.998901]
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
0.9959692207652859 [0.995434,0.994975,1,1,0.993711,1,1,0.990196,0.982249]
f_measure
0.9929848609483809 [0.986301,1,0.993789,1,1,0.994764,0.995708,0.980392,0.982456]
f_measure
0.9889110589547357 [0.990991,1,0.99375,1,0.987342,1,0.995745,0.960396,0.95858]
f_measure
0.9949732992012347 [0.995434,1,0.993865,1,0.980892,1,1,0.98,1]
f_measure
0.9909104598582349 [0.995434,0.99,1,1,0.987342,0.989691,1,0.975124,0.964286]
f_measure
0.994005008763302 [0.995434,1,0.996904,1,0.980645,1,0.995745,0.995025,0.971429]
f_measure
0.9949979429609153 [1,1,1,0.996587,1,1,0.991379,0.980392,0.982659]
f_measure
0.9959816698685465 [1,0.994975,0.990712,0.99661,1,1,0.991379,0.995025,1]
f_measure
0.990904225215858 [1,1,0.996904,1,0.96732,0.989796,0.995745,0.980392,0.97076]
f_measure
0.9929701401802234 [0.990826,0.994975,0.996885,0.99661,0.987013,1,0.995745,0.980198,0.988506]
kappa
0.995455410488794
kappa
0.9920388602278722
kappa
0.9874901660327635
kappa
0.9943123805085966
kappa
0.9897634423337159
kappa
0.993176150325663
kappa
0.9943135689890827
kappa
0.9954506733779892
kappa
0.989763302054534
kappa
0.9920393420011486
kb_relative_information_score
0.9953757523003596
kb_relative_information_score
0.992371172978262
kb_relative_information_score
0.9878519716647349
kb_relative_information_score
0.9943877942080033
kb_relative_information_score
0.9897316795413331
kb_relative_information_score
0.9932906198045802
kb_relative_information_score
0.9946632378141661
kb_relative_information_score
0.9958728820060034
kb_relative_information_score
0.9893410888104829
kb_relative_information_score
0.9922435313527785
mean_absolute_error
0.0008915635796277722
mean_absolute_error
0.001561802766622044
mean_absolute_error
0.002454261490406069
mean_absolute_error
0.0011155734047300313
mean_absolute_error
0.0020080321285140565
mean_absolute_error
0.0013386880856760376
mean_absolute_error
0.0011155734047300313
mean_absolute_error
0.000892458723784025
mean_absolute_error
0.0020080321285140565
mean_absolute_error
0.001561802766622044
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
0.996019649858667 [0.990909,0.99,1,1,0.9875,1,1,0.990196,1]
precision
0.9930368168067107 [0.981818,1,0.993789,1,1,1,1,0.970874,0.988235]
precision
0.9889778109491554 [0.982143,1,1,1,0.975,1,0.991525,0.960396,0.975904]
precision
0.9950095428507997 [1,1,0.987805,1,0.974684,1,1,0.989899,1]
precision
0.9910257427702026 [1,0.980198,1,1,0.975,0.979592,1,0.98,0.987805]
precision
0.9941067460079903 [1,1,1,1,0.987013,1,0.991525,1,0.955056]
precision
0.9950614868804534 [1,1,1,1,1,1,1,0.970874,0.977011]
precision
0.9960131550559931 [1,0.99,0.987654,0.993243,1,1,1,1,1]
precision
0.991001595981578 [1,1,0.993827,1,0.986667,0.979798,0.991525,0.970874,0.988095]
precision
0.9930328171470707 [0.990826,1,1,0.993243,1,1,0.991525,0.980198,0.977273]
predictive_accuracy
0.995987963891675
predictive_accuracy
0.9929718875502007
predictive_accuracy
0.9889558232931727
predictive_accuracy
0.9949799196787148
predictive_accuracy
0.9909638554216867
predictive_accuracy
0.9939759036144578
predictive_accuracy
0.9949799196787148
predictive_accuracy
0.995983935742972
predictive_accuracy
0.9909638554216867
predictive_accuracy
0.9929718875502007
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
0.995987963891675 [1,1,1,1,1,1,1,0.990196,0.965116]
recall
0.9929718875502008 [0.990826,1,0.993789,1,1,0.989583,0.991453,0.990099,0.976744]
recall
0.9889558232931727 [1,1,0.987578,1,1,1,1,0.960396,0.94186]
recall
0.9949799196787149 [0.990909,1,1,1,0.987179,1,1,0.970297,1]
recall
0.9909638554216867 [0.990909,1,1,1,1,1,1,0.970297,0.94186]
recall
0.9939759036144579 [0.990909,1,0.993827,1,0.974359,1,1,0.990099,0.988372]
recall
0.9949799196787149 [1,1,1,0.993197,1,1,0.982906,0.990099,0.988372]
recall
0.9959839357429718 [1,1,0.993789,1,1,1,0.982906,0.990099,1]
recall
0.9909638554216867 [1,1,1,1,0.948718,1,1,0.990099,0.954023]
recall
0.9929718875502008 [0.990826,0.99,0.993789,1,0.974359,1,1,0.980198,1]
relative_absolute_error
0.00454453358020597
relative_absolute_error
0.007961060501322234
relative_absolute_error
0.012510686044636234
relative_absolute_error
0.005686766944654797
relative_absolute_error
0.010236180500378635
relative_absolute_error
0.006824120333585758
relative_absolute_error
0.005686766944654797
relative_absolute_error
0.0045490757208939804
relative_absolute_error
0.010235146006245754
relative_absolute_error
0.007960787163182364
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
0.029859061934825952
root_mean_squared_error
0.039519650385878215
root_mean_squared_error
0.04954050353403838
root_mean_squared_error
0.03340020066900843
root_mean_squared_error
0.04481107149482209
root_mean_squared_error
0.036588086663230115
root_mean_squared_error
0.03340020066900843
root_mean_squared_error
0.02987404766321472
root_mean_squared_error
0.04481107149482209
root_mean_squared_error
0.039519650385878215
root_relative_squared_error
0.09533547594196261
root_relative_squared_error
0.12618252457157123
root_relative_squared_error
0.15818383160861738
root_relative_squared_error
0.10664923299849015
root_relative_squared_error
0.14308496083970262
root_relative_squared_error
0.11682838130779477
root_relative_squared_error
0.10664923299849015
root_relative_squared_error
0.09538289026661653
root_relative_squared_error
0.14307050037713814
root_relative_squared_error
0.12617819227108484
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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