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 0 total_cost 0 usercpu_time_millis 2761.6271330043674 usercpu_time_millis 2709.5309480209835 usercpu_time_millis 2790.8770100038964 usercpu_time_millis 2771.2996150075924 usercpu_time_millis 2696.2896610057214 usercpu_time_millis 2781.8961159937317 usercpu_time_millis 2762.71899198764 usercpu_time_millis 2786.610260998714 usercpu_time_millis 2783.141590000014 usercpu_time_millis 2790.9960859979037 usercpu_time_millis_testing 412.2552769986214 usercpu_time_millis_testing 407.9122530092718 usercpu_time_millis_testing 410.58536600030493 usercpu_time_millis_testing 416.2826719984878 usercpu_time_millis_testing 407.4808919976931 usercpu_time_millis_testing 409.1591169999447 usercpu_time_millis_testing 415.8981189975748 usercpu_time_millis_testing 408.12168800039217 usercpu_time_millis_testing 411.667332999059 usercpu_time_millis_testing 419.80413399869576 usercpu_time_millis_training 2349.371856005746 usercpu_time_millis_training 2301.6186950117117 usercpu_time_millis_training 2380.2916440035915 usercpu_time_millis_training 2355.0169430091046 usercpu_time_millis_training 2288.8087690080283 usercpu_time_millis_training 2372.736998993787 usercpu_time_millis_training 2346.8208729900653 usercpu_time_millis_training 2378.4885729983216 usercpu_time_millis_training 2371.474257000955 usercpu_time_millis_training 2371.191951999208 wall_clock_time_millis 2761.685609817505 wall_clock_time_millis 2712.9080295562744 wall_clock_time_millis 2790.936231613159 wall_clock_time_millis 2771.3682651519775 wall_clock_time_millis 2696.857213973999 wall_clock_time_millis 2781.9619178771973 wall_clock_time_millis 2762.7816200256348 wall_clock_time_millis 2804.340124130249 wall_clock_time_millis 2783.1873893737793 wall_clock_time_millis 2792.4647331237793 wall_clock_time_millis_testing 412.27030754089355 wall_clock_time_millis_testing 407.9291820526123 wall_clock_time_millis_testing 410.599946975708 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 410.290002822876 wall_clock_time_millis_testing 411.6809368133545 wall_clock_time_millis_testing 419.82054710388184 wall_clock_time_millis_training 2349.4153022766113 wall_clock_time_millis_training 2304.978847503662 wall_clock_time_millis_training 2380.336284637451 wall_clock_time_millis_training 2355.072498321533 wall_clock_time_millis_training 2289.3617153167725 wall_clock_time_millis_training 2372.7867603302 wall_clock_time_millis_training 2346.8687534332275 wall_clock_time_millis_training 2394.050121307373 wall_clock_time_millis_training 2371.506452560425 wall_clock_time_millis_training 2372.6441860198975