10416126
1
Jan van Rijn
9964
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8253869
C
0.26271348666137917
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.007417501296359656
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
34174
16360
shrinking
false
16360
tol
3.423505756905875e-05
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
1501
semeion
https://www.openml.org/data/download/1592293/phptd5jYj
-1
21754062
description
https://api.openml.org/data/download/21754062/description.xml
-1
21754063
predictions
https://api.openml.org/data/download/21754063/predictions.arff
area_under_roc_curve
0.9529134333841955 [0.986879,0.920218,0.930468,0.947245,0.937469,0.935095,0.972053,0.978922,0.958221,0.962526]
average_cost
0
f_measure
0.9157501763166871 [0.98125,0.884488,0.83237,0.925566,0.88959,0.909677,0.949686,0.959752,0.904615,0.920635]
kappa
0.9058354810488733
kb_relative_information_score
0.9113688087644007
mean_absolute_error
0.01694915254237284
mean_prior_absolute_error
0.17999701595290427
number_of_instances
1593 [161,158,162,159,159,161,159,161,158,155]
precision
0.9178839664253572 [0.987421,0.924138,0.782609,0.953333,0.892405,0.946309,0.949686,0.95679,0.88024,0.90625]
predictive_accuracy
0.9152542372881356
prior_entropy
3.3218194939376526
recall
0.9152542372881356 [0.975155,0.848101,0.888889,0.899371,0.886792,0.875776,0.949686,0.962733,0.93038,0.935484]
relative_absolute_error
0.09416351961527818
root_mean_prior_squared_error
0.2999974977708246
root_mean_squared_error
0.13018891098082372
root_relative_squared_error
0.4339666562161736
total_cost
0
area_under_roc_curve
0.9444444444444444 [0.96875,0.965278,0.881944,0.965278,0.930556,0.96875,0.934028,0.965278,0.899306,0.965278]
area_under_roc_curve
0.9687978927203066 [0.96875,0.958333,0.993056,0.9375,0.965278,0.9375,0.965278,1,1,0.95977]
area_under_roc_curve
0.944395881895882 [1,0.902778,0.888889,0.996528,0.927083,0.904772,0.996528,0.934028,0.899306,1]
area_under_roc_curve
0.9511217948717949 [0.96875,0.965253,0.920017,0.90625,0.96875,0.902753,0.996503,0.965253,0.961757,0.95625]
area_under_roc_curve
0.9441038226249494 [0.996503,0.840253,0.904722,0.965253,0.892264,0.965253,0.961757,0.96875,0.996528,0.95625]
area_under_roc_curve
0.9684572567495103 [1,0.96875,0.956504,0.90625,0.965253,0.965253,0.96875,0.993007,0.963194,1]
area_under_roc_curve
0.9406080031080033 [1,0.930507,0.923514,0.896528,0.902753,0.930507,0.963194,0.965253,0.961757,0.92701]
area_under_roc_curve
0.9615627428127428 [0.996503,0.896528,0.961757,0.996503,0.95826,0.934003,0.96875,1,0.993007,0.90625]
area_under_roc_curve
0.958041958041958 [1,0.9,0.92701,0.965253,0.934003,0.9375,0.965253,0.996503,0.98951,0.961757]
area_under_roc_curve
0.9475767288267288 [0.96875,0.871503,0.947771,0.934003,0.929861,0.90625,1,1,0.920017,0.996503]
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
0.9024641577060931 [0.967742,0.9375,0.722222,0.9375,0.875,0.967742,0.903226,0.9375,0.83871,0.9375]
f_measure
0.9442212207463632 [0.967742,0.882353,0.941176,0.933333,0.9375,0.933333,0.9375,1,1,0.903226]
f_measure
0.9000201972284515 [1,0.866667,0.764706,0.969697,0.848485,0.848485,0.969697,0.903226,0.83871,1]
f_measure
0.912986429238764 [0.967742,0.9375,0.8,0.896552,0.967742,0.866667,0.969697,0.9375,0.909091,0.875]
f_measure
0.8980335702033816 [0.969697,0.785714,0.848485,0.9375,0.787879,0.9375,0.909091,0.967742,0.967742,0.875]
f_measure
0.9438622374453159 [1,0.967742,0.864865,0.896552,0.9375,0.9375,0.967742,0.941176,0.933333,1]
f_measure
0.8932169322846346 [1,0.875,0.823529,0.857143,0.866667,0.875,0.933333,0.9375,0.909091,0.848485]
f_measure
0.9301237891717633 [0.969697,0.857143,0.909091,0.969697,0.882353,0.903226,0.967742,1,0.941176,0.896552]
f_measure
0.9244227335523745 [1,0.888889,0.848485,0.9375,0.903226,0.933333,0.9375,0.969697,0.914286,0.909091]
f_measure
0.9072835919353014 [0.967742,0.827586,0.810811,0.903226,0.896552,0.896552,1,1,0.8,0.969697]
kappa
0.888888888888889
kappa
0.9374972872086463
kappa
0.8888840661487045
kappa
0.9021710468489057
kappa
0.8881954821130351
kappa
0.9370906053545522
kappa
0.8811763671531564
kappa
0.9231208791208791
kappa
0.9161281814585257
kappa
0.8951694431014021
kb_relative_information_score
0.8954577381792649
kb_relative_information_score
0.9411448532737251
kb_relative_information_score
0.8955378754433403
kb_relative_information_score
0.9080019733363613
kb_relative_information_score
0.8947399266324692
kb_relative_information_score
0.9408034890209016
kb_relative_information_score
0.8881230553969529
kb_relative_information_score
0.9274775773424162
kb_relative_information_score
0.9210642437854659
kb_relative_information_score
0.9013523418674214
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.01125
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.017610062893081764
mean_absolute_error
0.020125786163522015
mean_absolute_error
0.011320754716981131
mean_absolute_error
0.021383647798742144
mean_absolute_error
0.013836477987421382
mean_absolute_error
0.01509433962264151
mean_absolute_error
0.01886792452830189
mean_prior_absolute_error
0.17999999999999963
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999532127261347
mean_prior_absolute_error
0.17999662582343604
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999348705453969
mean_prior_absolute_error
0.17999819520788427
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.17999897990010832
mean_prior_absolute_error
0.1799997645923324
number_of_instances
160 [16,16,16,16,16,16,16,16,16,16]
number_of_instances
160 [16,16,16,16,16,16,16,17,16,15]
number_of_instances
160 [16,16,16,16,16,17,16,16,16,15]
number_of_instances
159 [16,16,16,16,16,16,16,16,16,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [16,16,17,16,16,16,16,16,15,15]
number_of_instances
159 [17,16,16,15,16,16,15,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,15,16,16,16,16,16,16,16,16]
number_of_instances
159 [16,16,16,16,15,16,16,16,16,16]
precision
0.9075000000000001 [1,0.9375,0.65,0.9375,0.875,1,0.933333,0.9375,0.866667,0.9375]
precision
0.9480034722222221 [1,0.833333,0.888889,1,0.9375,1,0.9375,1,1,0.875]
precision
0.9023863503734827 [1,0.928571,0.722222,0.941176,0.823529,0.875,0.941176,0.933333,0.866667,1]
precision
0.9193460899752155 [1,0.9375,0.736842,1,1,0.928571,0.941176,0.9375,0.882353,0.823529]
precision
0.901691022320878 [0.941176,0.916667,0.875,0.9375,0.764706,0.9375,0.882353,1,0.9375,0.823529]
precision
0.9485674353598882 [1,1,0.8,1,0.9375,0.9375,1,0.888889,0.933333,1]
precision
0.8958607471371067 [1,0.875,0.777778,0.923077,0.928571,0.875,0.933333,0.9375,0.882353,0.823529]
precision
0.9344046342936465 [0.941176,0.923077,0.882353,0.941176,0.833333,0.933333,1,1,0.888889,1]
precision
0.9293079164800644 [1,1,0.823529,0.9375,0.933333,1,0.9375,0.941176,0.842105,0.882353]
precision
0.9176604036058444 [1,0.923077,0.714286,0.933333,0.928571,1,1,1,0.736842,0.941176]
predictive_accuracy
0.9
predictive_accuracy
0.94375
predictive_accuracy
0.9
predictive_accuracy
0.9119496855345912
predictive_accuracy
0.89937106918239
predictive_accuracy
0.9433962264150944
predictive_accuracy
0.8930817610062892
predictive_accuracy
0.9308176100628931
predictive_accuracy
0.9245283018867925
predictive_accuracy
0.9056603773584905
prior_entropy
3.322035652456755
prior_entropy
3.321695353806615
prior_entropy
3.321695353806615
prior_entropy
3.3217896094452106
prior_entropy
3.3215641679424013
prior_entropy
3.3215641679424013
prior_entropy
3.321906615533436
prior_entropy
3.321962444265476
prior_entropy
3.321962444265476
prior_entropy
3.3220193319359352
recall
0.9 [0.9375,0.9375,0.8125,0.9375,0.875,0.9375,0.875,0.9375,0.8125,0.9375]
recall
0.94375 [0.9375,0.9375,1,0.875,0.9375,0.875,0.9375,1,1,0.933333]
recall
0.9 [1,0.8125,0.8125,1,0.875,0.823529,1,0.875,0.8125,1]
recall
0.9119496855345912 [0.9375,0.9375,0.875,0.8125,0.9375,0.8125,1,0.9375,0.9375,0.933333]
recall
0.89937106918239 [1,0.6875,0.823529,0.9375,0.8125,0.9375,0.9375,0.9375,1,0.933333]
recall
0.9433962264150944 [1,0.9375,0.941176,0.8125,0.9375,0.9375,0.9375,1,0.933333,1]
recall
0.8930817610062893 [1,0.875,0.875,0.8,0.8125,0.875,0.933333,0.9375,0.9375,0.875]
recall
0.9308176100628931 [1,0.8,0.9375,1,0.9375,0.875,0.9375,1,1,0.8125]
recall
0.9245283018867925 [1,0.8,0.875,0.9375,0.875,0.875,0.9375,1,1,0.9375]
recall
0.9056603773584906 [0.9375,0.75,0.9375,0.875,0.866667,0.8125,1,1,0.875,1]
relative_absolute_error
0.11111111111111135
relative_absolute_error
0.06250162460034844
relative_absolute_error
0.11111399928950837
relative_absolute_error
0.09783551670771867
relative_absolute_error
0.11181396889890642
relative_absolute_error
0.06289535750563485
relative_absolute_error
0.11879923448146607
relative_absolute_error
0.07686975779029433
relative_absolute_error
0.083857917589412
relative_absolute_error
0.10482194002327945
root_mean_prior_squared_error
0.3000024711829099
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999946732668207
root_mean_prior_squared_error
0.2999968475489186
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.2999916161668401
root_mean_prior_squared_error
0.29999946320574855
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000077102561146
root_mean_prior_squared_error
0.30000207883977315
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.10606601717798213
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.13270291214996663
root_mean_squared_error
0.14186538042638175
root_mean_squared_error
0.1063990353197863
root_mean_squared_error
0.14623148702910102
root_mean_squared_error
0.11762855940383433
root_mean_squared_error
0.12285902336679023
root_mean_squared_error
0.13736056394868904
root_relative_squared_error
0.47140063773369945
root_relative_squared_error
0.3535596683199941
root_relative_squared_error
0.4714128910933255
root_relative_squared_error
0.44234768876472147
root_relative_squared_error
0.47289781707593925
root_relative_squared_error
0.35467336280695444
root_relative_squared_error
0.4874391622788042
root_relative_squared_error
0.3920941902972384
root_relative_squared_error
0.40952902536474345
root_relative_squared_error
0.45786537373313124
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
942.1718590001547
usercpu_time_millis
941.3970249997874
usercpu_time_millis
944.1966939994018
usercpu_time_millis
944.1208160005772
usercpu_time_millis
942.7661769996121
usercpu_time_millis
951.8601909994686
usercpu_time_millis
945.3856790005375
usercpu_time_millis
948.4862819999762
usercpu_time_millis
949.9322149995351
usercpu_time_millis
946.3380440010951
usercpu_time_millis_testing
83.9021750007305
usercpu_time_millis_testing
84.33392400002049
usercpu_time_millis_testing
83.86472799975309
usercpu_time_millis_testing
83.35658000032709
usercpu_time_millis_testing
84.01707099983469
usercpu_time_millis_testing
83.9221299993369
usercpu_time_millis_testing
83.7728500000594
usercpu_time_millis_testing
83.72213900020142
usercpu_time_millis_testing
83.56572499997128
usercpu_time_millis_testing
83.48874400053319
usercpu_time_millis_training
858.2696839994242
usercpu_time_millis_training
857.0631009997669
usercpu_time_millis_training
860.3319659996487
usercpu_time_millis_training
860.7642360002501
usercpu_time_millis_training
858.7491059997774
usercpu_time_millis_training
867.9380610001317
usercpu_time_millis_training
861.6128290004781
usercpu_time_millis_training
864.7641429997748
usercpu_time_millis_training
866.3664899995638
usercpu_time_millis_training
862.8493000005619
wall_clock_time_millis
942.2435760498047
wall_clock_time_millis
941.4615631103516
wall_clock_time_millis
944.2689418792725
wall_clock_time_millis
944.1931247711182
wall_clock_time_millis
942.845344543457
wall_clock_time_millis
951.9252777099609
wall_clock_time_millis
945.4591274261475
wall_clock_time_millis
948.5504627227783
wall_clock_time_millis
950.005054473877
wall_clock_time_millis
946.4085102081299
wall_clock_time_millis_testing
83.91022682189941
wall_clock_time_millis_testing
84.34224128723145
wall_clock_time_millis_testing
83.87279510498047
wall_clock_time_millis_testing
83.36448669433594
wall_clock_time_millis_testing
84.02514457702637
wall_clock_time_millis_testing
83.93025398254395
wall_clock_time_millis_testing
83.78052711486816
wall_clock_time_millis_testing
83.72998237609863
wall_clock_time_millis_testing
83.57357978820801
wall_clock_time_millis_testing
83.4970474243164
wall_clock_time_millis_training
858.3333492279053
wall_clock_time_millis_training
857.1193218231201
wall_clock_time_millis_training
860.396146774292
wall_clock_time_millis_training
860.8286380767822
wall_clock_time_millis_training
858.8201999664307
wall_clock_time_millis_training
867.995023727417
wall_clock_time_millis_training
861.6786003112793
wall_clock_time_millis_training
864.8204803466797
wall_clock_time_millis_training
866.431474685669
wall_clock_time_millis_training
862.9114627838135