10311231 8323 Heinrich Peters 9985 Supervised Classification 15083 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,fkceigenpro=sklearn_extra.fast_kernel.FKCEigenPro)(1) 8170489 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 memory null 15083 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": "fkceigenpro", "step_name": "fkceigenpro"}}] 15083 verbose false 15083 bandwidth 5 15084 batch_size "auto" 15084 coef0 1 15084 degree 3 15084 gamma 1000.0 15084 kernel "laplace" 15084 kernel_params "null" 15084 n_components 500 15084 n_epoch 2 15084 random_state 21669 15084 subsample_size "auto" 15084 openml-python Sklearn_0.21.2. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21544069 description https://api.openml.org/data/download/21544069/description.xml -1 21544070 predictions https://api.openml.org/data/download/21544070/predictions.arff area_under_roc_curve 0.7318393427614825 [0.690529,0.638377,0.694059,0.655354,0.650598,0.81663] average_cost 0 f_measure 0.5855274352657993 [0.48915,0.371108,0.475921,0.39857,0.397424,0.790648] kappa 0.4510328886333171 kb_relative_information_score 0.461343404367672 mean_absolute_error 0.13283208020050494 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.580607439382635 [0.481745,0.470032,0.506024,0.444223,0.466523,0.726468] predictive_accuracy 0.6015037593984962 prior_entropy 2.3000072984859514 recall 0.6015037593984962 [0.496786,0.306584,0.449198,0.361426,0.346154,0.867267] relative_absolute_error 0.5297083166938479 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.364461356251256 root_relative_squared_error 1.0293339877376433 total_cost 0 area_under_roc_curve 0.7338486070376994 [0.711228,0.591755,0.667387,0.673431,0.647541,0.825206] area_under_roc_curve 0.7548261613160848 [0.725373,0.645612,0.741527,0.670821,0.672001,0.832773] area_under_roc_curve 0.7287512512974035 [0.643519,0.633523,0.688194,0.658328,0.642077,0.833613] area_under_roc_curve 0.7176396840400858 [0.652133,0.641951,0.721676,0.575748,0.636745,0.813165] area_under_roc_curve 0.7235904523250349 [0.690435,0.652608,0.634227,0.695132,0.651056,0.802241] area_under_roc_curve 0.7317931836759034 [0.691429,0.621996,0.719814,0.658094,0.663783,0.808123] area_under_roc_curve 0.7293363462055364 [0.719408,0.67878,0.675791,0.660938,0.602786,0.806443] area_under_roc_curve 0.7414456115195008 [0.691046,0.619332,0.712998,0.673128,0.697742,0.821476] area_under_roc_curve 0.7190620873386621 [0.683751,0.647128,0.69495,0.615708,0.60171,0.807697] area_under_roc_curve 0.7381462696267246 [0.696699,0.650681,0.683628,0.672191,0.689651,0.815603] 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 0.582231097153533 [0.51046,0.277778,0.422535,0.423729,0.4,0.79927] f_measure 0.6194002154406735 [0.533898,0.4,0.56338,0.432432,0.42735,0.80663] f_measure 0.5772223278106087 [0.410714,0.348837,0.477612,0.419048,0.378378,0.808511] f_measure 0.5592086925906558 [0.433498,0.359551,0.517007,0.242991,0.366972,0.787346] f_measure 0.5791741084599696 [0.493023,0.415584,0.363636,0.5,0.389381,0.776224] f_measure 0.5884231698704476 [0.495327,0.351351,0.510067,0.384,0.444444,0.781528] f_measure 0.5822517066886453 [0.520661,0.447059,0.458015,0.410714,0.309278,0.779174] f_measure 0.6030397383598841 [0.490909,0.337662,0.514286,0.432432,0.486486,0.79646] f_measure 0.5639737919369016 [0.481481,0.372093,0.475524,0.326923,0.296296,0.782301] f_measure 0.5965071346276227 [0.512315,0.390244,0.453901,0.409836,0.461538,0.789946] kappa 0.4491731303966047 kappa 0.4961311475409836 kappa 0.440545830522719 kappa 0.41996725229012705 kappa 0.43996117324955447 kappa 0.4546659597030753 kappa 0.44835045970795023 kappa 0.47382714773842644 kappa 0.4232755270122708 kappa 0.46373197799534355 kb_relative_information_score 0.4550316842162491 kb_relative_information_score 0.5024066074797109 kb_relative_information_score 0.44871665820714596 kb_relative_information_score 0.43097462138493475 kb_relative_information_score 0.45521475225293684 kb_relative_information_score 0.46679686315802976 kb_relative_information_score 0.4603271864965505 kb_relative_information_score 0.4839332377103258 kb_relative_information_score 0.4346759761245131 kb_relative_information_score 0.47534358021945633 mean_absolute_error 0.13398692810457502 mean_absolute_error 0.12309368191721135 mean_absolute_error 0.1350762527233114 mean_absolute_error 0.13997821350762504 mean_absolute_error 0.13453159041394322 mean_absolute_error 0.13180827886710228 mean_absolute_error 0.13344226579520685 mean_absolute_error 0.12690631808278863 mean_absolute_error 0.13911620294598998 mean_absolute_error 0.13038734315330053 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5800192550625077 [0.469231,0.416667,0.441176,0.446429,0.5,0.75] precision 0.6192057447987357 [0.496063,0.555556,0.597015,0.489796,0.462963,0.760417] precision 0.5732176261631368 [0.396552,0.405405,0.542373,0.511628,0.4375,0.737864] precision 0.5496887708971749 [0.468085,0.4,0.527778,0.288889,0.425532,0.713376] precision 0.5798741219751339 [0.5,0.571429,0.382353,0.619048,0.431373,0.700315] precision 0.5909139391492332 [0.504762,0.52,0.513514,0.380952,0.594595,0.714286] precision 0.5816849132020778 [0.473684,0.527778,0.535714,0.46,0.428571,0.718543] precision 0.5999452955259842 [0.486486,0.464286,0.553846,0.48,0.55102,0.728155] precision 0.555577473856579 [0.485981,0.421053,0.5,0.395349,0.347826,0.71521] precision 0.5922078981475085 [0.553191,0.470588,0.477612,0.409836,0.5,0.730897] predictive_accuracy 0.5980392156862745 predictive_accuracy 0.630718954248366 predictive_accuracy 0.5947712418300654 predictive_accuracy 0.5800653594771242 predictive_accuracy 0.5964052287581699 predictive_accuracy 0.6045751633986928 predictive_accuracy 0.5996732026143791 predictive_accuracy 0.619281045751634 predictive_accuracy 0.5826513911620295 predictive_accuracy 0.6088379705400981 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 recall 0.5980392156862745 [0.559633,0.208333,0.405405,0.403226,0.333333,0.855469] recall 0.630718954248366 [0.577982,0.3125,0.533333,0.387097,0.396825,0.858824] recall 0.5947712418300654 [0.425926,0.306122,0.426667,0.354839,0.333333,0.894118] recall 0.5800653594771242 [0.40367,0.326531,0.506667,0.209677,0.322581,0.878431] recall 0.5964052287581699 [0.486239,0.326531,0.346667,0.419355,0.354839,0.870588] recall 0.6045751633986928 [0.486239,0.265306,0.506667,0.387097,0.354839,0.862745] recall 0.5996732026143791 [0.577982,0.387755,0.4,0.370968,0.241935,0.85098] recall 0.619281045751634 [0.495413,0.265306,0.48,0.393443,0.435484,0.878906] recall 0.5826513911620295 [0.477064,0.333333,0.453333,0.278689,0.258065,0.863281] recall 0.6088379705400983 [0.477064,0.333333,0.432432,0.409836,0.428571,0.859375] relative_absolute_error 0.5345046398711379 relative_absolute_error 0.49073453246822885 relative_absolute_error 0.5383900395403765 relative_absolute_error 0.5580203719336889 relative_absolute_error 0.5363075169946352 relative_absolute_error 0.5254510895251082 relative_absolute_error 0.5319649460068244 relative_absolute_error 0.506257202381967 relative_absolute_error 0.5551686441807763 relative_absolute_error 0.5203115962714535 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.3660422490704796 root_mean_squared_error 0.3508470919320999 root_mean_squared_error 0.3675272135819488 root_mean_squared_error 0.37413662411961895 root_mean_squared_error 0.36678548282878265 root_mean_squared_error 0.3630540990914471 root_mean_squared_error 0.3652975031330037 root_mean_squared_error 0.35623913047669065 root_mean_squared_error 0.3729828453776259 root_mean_squared_error 0.3610918763324655 root_relative_squared_error 1.0341685275832926 root_relative_squared_error 0.9906032569797761 root_relative_squared_error 1.0374771823180622 root_relative_squared_error 1.0563086789382008 root_relative_squared_error 1.035554029847422 root_relative_squared_error 1.0250191268946005 root_relative_squared_error 1.031352981980393 root_relative_squared_error 1.0064695607309715 root_relative_squared_error 1.0541616827186742 root_relative_squared_error 1.020509205016515 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 18453.783888020553 usercpu_time_millis 18165.970900998218 usercpu_time_millis 15021.05940200272 usercpu_time_millis 11136.175809020642 usercpu_time_millis 10796.413976990152 usercpu_time_millis 10867.096482019406 usercpu_time_millis 10836.655954975868 usercpu_time_millis 10862.120854988461 usercpu_time_millis 11107.298822986195 usercpu_time_millis 11348.123531992314 usercpu_time_millis_testing 197.90955999633297 usercpu_time_millis_testing 224.4671389926225 usercpu_time_millis_testing 134.35051299165934 usercpu_time_millis_testing 128.90754401450977 usercpu_time_millis_testing 131.94502500118688 usercpu_time_millis_testing 127.09537401678972 usercpu_time_millis_testing 129.72862098831683 usercpu_time_millis_testing 134.58837600774132 usercpu_time_millis_testing 143.0899479892105 usercpu_time_millis_testing 124.46078000357375 usercpu_time_millis_training 18255.87432802422 usercpu_time_millis_training 17941.503762005595 usercpu_time_millis_training 14886.70888901106 usercpu_time_millis_training 11007.268265006132 usercpu_time_millis_training 10664.468951988965 usercpu_time_millis_training 10740.001108002616 usercpu_time_millis_training 10706.92733398755 usercpu_time_millis_training 10727.53247898072 usercpu_time_millis_training 10964.208874996984 usercpu_time_millis_training 11223.66275198874 wall_clock_time_millis 18468.31727027893 wall_clock_time_millis 18166.976928710938 wall_clock_time_millis 15025.309324264526 wall_clock_time_millis 11138.340473175049 wall_clock_time_millis 10796.75006866455 wall_clock_time_millis 10870.036125183105 wall_clock_time_millis 10836.951971054077 wall_clock_time_millis 10864.255428314209 wall_clock_time_millis 11107.592105865479 wall_clock_time_millis 11350.359916687012 wall_clock_time_millis_testing 197.92652130126953 wall_clock_time_millis_testing 224.9894142150879 wall_clock_time_millis_testing 134.36341285705566 wall_clock_time_millis_testing 128.92413139343262 wall_clock_time_millis_testing 131.97898864746094 wall_clock_time_millis_testing 127.11262702941895 wall_clock_time_millis_testing 129.74286079406738 wall_clock_time_millis_testing 134.60016250610352 wall_clock_time_millis_testing 143.10646057128906 wall_clock_time_millis_testing 124.49288368225098 wall_clock_time_millis_training 18270.39074897766 wall_clock_time_millis_training 17941.98751449585 wall_clock_time_millis_training 14890.94591140747 wall_clock_time_millis_training 11009.416341781616 wall_clock_time_millis_training 10664.77108001709 wall_clock_time_millis_training 10742.923498153687 wall_clock_time_millis_training 10707.20911026001 wall_clock_time_millis_training 10729.655265808105 wall_clock_time_millis_training 10964.48564529419 wall_clock_time_millis_training 11225.86703300476