10363410
8323
Heinrich Peters
32
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8218856
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
116.95729942305174
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.3313071593094643
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
9.305105093213657e-05
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
1762
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
32
pendigits
https://www.openml.org/data/download/32/dataset_32_pendigits.arff
-1
21648522
description
https://api.openml.org/data/download/21648522/description.xml
-1
21648523
predictions
https://api.openml.org/data/download/21648523/predictions.arff
area_under_roc_curve
0.956819103017302 [0.969364,0.849657,0.975352,0.988237,0.989034,0.95372,0.996878,0.937924,0.939211,0.973947]
average_cost
0
f_measure
0.9213797160383785 [0.948989,0.770971,0.901865,0.929778,0.982041,0.897921,0.990575,0.92485,0.911578,0.961649]
kappa
0.9136672258990375
kb_relative_information_score
0.9191273212987485
mean_absolute_error
0.015538573508005717
mean_prior_absolute_error
0.17996797657803554
number_of_instances
10992 [1143,1143,1144,1055,1144,1055,1056,1142,1055,1055]
precision
0.9239467458190046 [0.954023,0.835546,0.84115,0.875314,0.984197,0.875676,0.985929,0.976631,0.940524,0.972842]
predictive_accuracy
0.922307132459971
prior_entropy
3.320771739846944
recall
0.9223071324599709 [0.944007,0.715661,0.972028,0.991469,0.979895,0.921327,0.995265,0.878284,0.88436,0.950711]
relative_absolute_error
0.08634076908270438
root_mean_prior_squared_error
0.29997328837006915
root_mean_squared_error
0.12465381465485008
root_relative_squared_error
0.41554971555023246
total_cost
0
area_under_roc_curve
0.9570274262361216 [0.9742,0.871944,0.980644,0.984446,0.985828,0.95688,0.998994,0.941968,0.92673,0.950818]
area_under_roc_curve
0.9484842069350531 [0.958839,0.821848,0.967888,0.986695,0.985828,0.943838,0.98956,0.915652,0.945095,0.976605]
area_under_roc_curve
0.9590588202269192 [0.971881,0.868056,0.978826,0.98719,0.986842,0.954863,0.999497,0.925071,0.953622,0.970188]
area_under_roc_curve
0.9605505402908373 [0.977055,0.865275,0.977197,0.986184,0.98978,0.97138,0.994735,0.942462,0.926056,0.980449]
area_under_roc_curve
0.9590395618650066 [0.972994,0.866291,0.991371,0.993958,0.982609,0.957918,0.995238,0.942982,0.92505,0.965661]
area_under_roc_curve
0.9585273329391709 [0.958496,0.849916,0.981583,0.988737,0.984924,0.964145,0.998491,0.923408,0.964152,0.979946]
area_under_roc_curve
0.9600420713064542 [0.96676,0.835506,0.979045,0.994461,0.999492,0.956222,0.999496,0.946353,0.938833,0.98947]
area_under_roc_curve
0.9555027230672312 [0.970131,0.832136,0.971289,0.991944,0.985827,0.924899,0.998993,0.958496,0.955533,0.970423]
area_under_roc_curve
0.9554863278772425 [0.975024,0.866533,0.959146,0.976282,0.999492,0.956875,0.999496,0.923916,0.926728,0.975408]
area_under_roc_curve
0.954477038282543 [0.968283,0.818795,0.966574,0.992455,0.989705,0.950101,0.994276,0.959003,0.930438,0.980629]
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
0.922224672832837 [0.944206,0.790909,0.907631,0.936364,0.977974,0.915094,0.990654,0.930876,0.90099,0.932039]
f_measure
0.9057907078406016 [0.942222,0.738916,0.870588,0.920354,0.977974,0.875576,0.981132,0.900474,0.917874,0.940092]
f_measure
0.9258049224262315 [0.95614,0.788991,0.921811,0.924444,0.986667,0.898148,0.995261,0.911628,0.923077,0.956938]
f_measure
0.9284720044269975 [0.968889,0.788991,0.909836,0.9163,0.978355,0.930876,0.990476,0.931507,0.9,0.975845]
f_measure
0.9256475170207574 [0.935622,0.796296,0.930612,0.946429,0.982301,0.887892,0.995215,0.939535,0.891089,0.956098]
f_measure
0.9240307672711394 [0.941704,0.780952,0.914286,0.9375,0.969697,0.904977,0.985915,0.902326,0.942308,0.971154]
f_measure
0.9265585478125298 [0.946903,0.760976,0.896,0.950673,0.995671,0.907407,0.995305,0.93578,0.902913,0.980952]
f_measure
0.9184405028391605 [0.943231,0.762376,0.894309,0.929825,0.977974,0.851852,0.990654,0.941704,0.937198,0.961165]
f_measure
0.9195978954479999 [0.951965,0.778281,0.887967,0.903509,0.995633,0.915094,0.995305,0.906542,0.90099,0.966507]
f_measure
0.9167081266779027 [0.959641,0.717703,0.887097,0.933333,0.978166,0.893023,0.985915,0.945946,0.897561,0.976077]
kappa
0.9141239077203984
kappa
0.8969688454725521
kappa
0.9181026313804213
kappa
0.9211313685946033
kappa
0.9180976582769953
kappa
0.9170942985885847
kappa
0.9201223635485429
kappa
0.9110245898622938
kappa
0.9110204967881189
kappa
0.9090000772823122
kb_relative_information_score
0.9193390429722945
kb_relative_information_score
0.9036002276646812
kb_relative_information_score
0.9233233255331018
kb_relative_information_score
0.9260830654272334
kb_relative_information_score
0.9231578977950984
kb_relative_information_score
0.9225559736891337
kb_relative_information_score
0.9252610668264186
kb_relative_information_score
0.9166255648683989
kb_relative_information_score
0.9165668658138105
kb_relative_information_score
0.9147749792515012
mean_absolute_error
0.01545454545454543
mean_absolute_error
0.018545454545454507
mean_absolute_error
0.014740673339399431
mean_absolute_error
0.014194722474977231
mean_absolute_error
0.014740673339399431
mean_absolute_error
0.014922656960873498
mean_absolute_error
0.014376706096451298
mean_absolute_error
0.0160145586897179
mean_absolute_error
0.0160145586897179
mean_absolute_error
0.016378525932666033
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996798929120086
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996580653132724
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.17996724559468558
mean_prior_absolute_error
0.1799686846580439
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799701568033185
mean_prior_absolute_error
0.1799686846580439
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1100 [115,114,115,105,114,105,106,114,106,106]
number_of_instances
1099 [115,114,115,105,114,105,105,115,105,106]
number_of_instances
1099 [114,115,114,105,115,106,105,115,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,115,114,106,115,106,105,114,105,105]
number_of_instances
1099 [114,114,114,106,115,106,106,114,105,105]
number_of_instances
1099 [114,114,114,106,114,106,106,114,106,105]
number_of_instances
1099 [114,114,114,106,114,105,106,114,106,106]
number_of_instances
1099 [114,114,115,105,114,105,106,114,106,106]
precision
0.9245657691009326 [0.932203,0.820755,0.843284,0.895652,0.982301,0.906542,0.981481,0.980583,0.947917,0.96]
precision
0.9110134218044192 [0.963636,0.842697,0.792857,0.859504,0.982301,0.848214,0.981132,0.979381,0.940594,0.918919]
precision
0.9281768189783447 [0.964602,0.826923,0.875,0.866667,1,0.873874,0.990566,0.98,0.932039,0.970874]
precision
0.9313203532166925 [0.981982,0.834951,0.853846,0.852459,0.974138,0.90991,0.990476,0.980769,0.947368,0.990196]
precision
0.9288283840804308 [0.915966,0.851485,0.870229,0.898305,1,0.846154,1,1,0.927835,0.98]
precision
0.9267591535301714 [0.963303,0.863158,0.854962,0.889831,0.965517,0.869565,0.972222,0.960396,0.951456,0.980583]
precision
0.9294692736308461 [0.955357,0.857143,0.823529,0.905983,0.991379,0.890909,0.990654,0.980769,0.920792,0.980952]
precision
0.9218584164114548 [0.93913,0.875,0.833333,0.868852,0.982301,0.836364,0.981481,0.963303,0.960396,0.980198]
precision
0.9221321756910086 [0.947826,0.803738,0.84252,0.844262,0.991304,0.906542,0.990654,0.97,0.947917,0.980583]
precision
0.9189139569081739 [0.981651,0.789474,0.827068,0.875,0.973913,0.872727,0.981308,0.972222,0.929293,0.990291]
predictive_accuracy
0.9227272727272726
predictive_accuracy
0.9072727272727273
predictive_accuracy
0.9262966333030027
predictive_accuracy
0.9290263876251137
predictive_accuracy
0.9262966333030027
predictive_accuracy
0.9253867151956324
predictive_accuracy
0.9281164695177434
predictive_accuracy
0.9199272065514105
predictive_accuracy
0.9199272065514105
predictive_accuracy
0.9181073703366697
prior_entropy
3.3207726565016804
prior_entropy
3.3207726565016804
prior_entropy
3.320615093773185
prior_entropy
3.320615093773185
prior_entropy
3.3207190205874304
prior_entropy
3.3207190205874304
prior_entropy
3.320822852867135
prior_entropy
3.3209290746720725
prior_entropy
3.3209290746720725
prior_entropy
3.3208228528671353
recall
0.9227272727272727 [0.956522,0.763158,0.982609,0.980952,0.973684,0.92381,1,0.885965,0.858491,0.90566]
recall
0.9072727272727272 [0.921739,0.657895,0.965217,0.990476,0.973684,0.904762,0.981132,0.833333,0.896226,0.962264]
recall
0.9262966333030027 [0.947826,0.754386,0.973913,0.990476,0.973684,0.92381,1,0.852174,0.914286,0.943396]
recall
0.9290263876251137 [0.95614,0.747826,0.973684,0.990476,0.982609,0.95283,0.990476,0.886957,0.857143,0.961905]
recall
0.9262966333030027 [0.95614,0.747826,1,1,0.965217,0.933962,0.990476,0.885965,0.857143,0.933333]
recall
0.9253867151956324 [0.921053,0.713043,0.982456,0.990566,0.973913,0.943396,1,0.850877,0.933333,0.961905]
recall
0.9281164695177434 [0.938596,0.684211,0.982456,1,1,0.924528,1,0.894737,0.885714,0.980952]
recall
0.9199272065514104 [0.947368,0.675439,0.964912,1,0.973684,0.867925,1,0.921053,0.915094,0.942857]
recall
0.9199272065514104 [0.95614,0.754386,0.938596,0.971698,1,0.92381,1,0.850877,0.858491,0.95283]
recall
0.9181073703366697 [0.938596,0.657895,0.956522,1,0.982456,0.914286,0.990566,0.921053,0.867925,0.962264]
relative_absolute_error
0.08587385743105064
relative_absolute_error
0.1030486289172607
relative_absolute_error
0.0819081892472361
relative_absolute_error
0.0788745526084496
relative_absolute_error
0.08190753428875461
relative_absolute_error
0.08291873841577627
relative_absolute_error
0.07988448725825988
relative_absolute_error
0.08898452373534078
relative_absolute_error
0.08898452373534078
relative_absolute_error
0.09100764371194162
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29997330956058954
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29996967128171426
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.29997206995355086
root_mean_prior_squared_error
0.2999744686062071
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.29997692238045737
root_mean_prior_squared_error
0.2999744686062071
root_mean_squared_error
0.1243163121016121
root_mean_squared_error
0.1361816968078108
root_mean_squared_error
0.12141117468915055
root_mean_squared_error
0.11914160681717043
root_mean_squared_error
0.12141117468915055
root_mean_squared_error
0.12215832743154884
root_mean_squared_error
0.11990290278575952
root_mean_squared_error
0.1265486415957038
root_mean_squared_error
0.1265486415957038
root_mean_squared_error
0.12797861513810044
root_relative_squared_error
0.41442457758563456
root_relative_squared_error
0.4539793790564037
root_relative_squared_error
0.4047448336039551
root_relative_squared_error
0.39717884247464297
root_relative_squared_error
0.40474159713586155
root_relative_squared_error
0.40723233816556464
root_relative_squared_error
0.3997103598278646
root_relative_squared_error
0.42186125716432143
root_relative_squared_error
0.42186125716432143
root_relative_squared_error
0.4266316921327894
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
0
usercpu_time_millis
2761.6271330043674
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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usercpu_time_millis_testing
412.2552769986214
usercpu_time_millis_testing
407.9122530092718
usercpu_time_millis_testing
410.58536600030493
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
409.1591169999447
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
419.80413399869576
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
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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
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usercpu_time_millis_training
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usercpu_time_millis_training
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wall_clock_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
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wall_clock_time_millis
2696.857213973999
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
2804.340124130249
wall_clock_time_millis
2783.1873893737793
wall_clock_time_millis
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wall_clock_time_millis_testing
412.27030754089355
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
416.29576683044434
wall_clock_time_millis_testing
407.49549865722656
wall_clock_time_millis_testing
409.17515754699707
wall_clock_time_millis_testing
415.9128665924072
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
411.6809368133545
wall_clock_time_millis_testing
419.82054710388184
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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