6762242 1 Jan van Rijn 14967 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4794141 axis 0 6947 categorical_features [0, 1] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 0.40600851832875157 6953 cache_size 200 6953 class_weight null 6953 coef0 0.025698787381778665 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.9600534447206829 6953 kernel "poly" 6953 max_iter -1 6953 probability true 6953 random_state 3954 6953 shrinking true 6953 tol 0.04227798517895707 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 14456046 description https://api.openml.org/data/download/14456046/description.xml -1 14456047 predictions https://api.openml.org/data/download/14456047/predictions.arff area_under_roc_curve 0.9907548424283484 [0.991425,0.99247,0.993321,0.992048,0.984925,0.987239] average_cost 0 f_measure 0.968772932804895 [0.992126,0.94721,0.961484,0.988258,0.96875,0.928302] kappa 0.9619082218841534 kb_relative_information_score 2148.2861082052727 mean_absolute_error 0.09902204835877487 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.9695138089226496 [1,0.975155,0.933518,0.988258,0.964115,0.960938] predictive_accuracy 0.9688841201716738 prior_entropy 2.5206634795042744 recall 0.9688841201716738 [0.984375,0.920821,0.991176,0.988258,0.97343,0.89781] relative_absolute_error 0.36287767023996054 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.16542268776378777 root_relative_squared_error 0.44785000774428163 total_cost 0 area_under_roc_curve 0.9954442343781588 [1,0.996174,1,0.996746,0.977753,0.997591] area_under_roc_curve 0.9931904290920827 [0.989981,0.996652,0.988277,1,0.993469,0.994756] area_under_roc_curve 0.98863782768518 [1,0.992229,0.989734,0.980563,0.991734,0.968254] area_under_roc_curve 0.9923806827938394 [1,0.973338,0.995352,0.9863,0.997245,0.996457] area_under_roc_curve 0.9899586933587041 [1,1,0.993757,0.980769,0.967037,0.998682] area_under_roc_curve 0.9785997323365253 [0.983458,0.972828,0.987514,0.980563,0.992958,0.927683] area_under_roc_curve 0.9958482382475706 [1,1,1,0.996388,0.978602,0.997208] area_under_roc_curve 0.9960719791039169 [1,0.9994,0.985643,1,1,0.996326] area_under_roc_curve 0.9888843375699041 [0.969812,0.996279,1,1,0.974583,0.993092] area_under_roc_curve 0.9882298328748084 [0.968706,1,0.995261,1,0.976492,0.992945] 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 0.9743751969849981 [1,0.970588,0.971429,0.990291,0.987654,0.884615] f_measure 0.8836272823251078 [0.973451,0.627451,0.82716,1,0.963855,0.816327] f_measure 0.9680112517265727 [0.991304,0.956522,0.957143,0.98,0.938272,0.981818] f_measure 0.9856511970595396 [1,0.955224,0.992701,0.990099,0.987952,0.964286] f_measure 0.9787154484435283 [1,1,0.985294,0.980392,0.941176,0.943396] f_measure 0.9564007981536419 [0.991304,0.970588,0.94964,0.970874,0.953488,0.857143] f_measure 0.9891962078229026 [1,0.985075,0.992701,0.990291,0.97561,0.981818] f_measure 0.9855929522995347 [1,0.969697,0.985294,0.990291,0.988235,0.962963] f_measure 0.9819913265261118 [0.982143,0.985507,0.985507,1,0.97619,0.943396] f_measure 0.9784760861855927 [0.982143,0.971429,0.992701,0.990291,0.97561,0.925926] kappa 0.9693845673227115 kappa 0.8629379904940864 kappa 0.9606943989518506 kappa 0.9825452731976436 kappa 0.9738113795791115 kappa 0.9475164011246484 kappa 0.9868582195007065 kappa 0.9824784513211813 kappa 0.9780966885961468 kappa 0.9737325236548511 kb_relative_information_score 209.40552163901023 kb_relative_information_score 182.95759477636918 kb_relative_information_score 195.32312250996662 kb_relative_information_score 216.65175969361655 kb_relative_information_score 212.7352738878505 kb_relative_information_score 221.23810650655022 kb_relative_information_score 244.6725617503883 kb_relative_information_score 218.07582796826907 kb_relative_information_score 213.4905470435937 kb_relative_information_score 233.7357924296497 mean_absolute_error 0.1050995725834027 mean_absolute_error 0.13485390897541116 mean_absolute_error 0.12328331439509267 mean_absolute_error 0.09973293992404984 mean_absolute_error 0.10304773617221535 mean_absolute_error 0.08945560405994936 mean_absolute_error 0.05833386615505084 mean_absolute_error 0.0969064137131672 mean_absolute_error 0.10247798420294676 mean_absolute_error 0.07680928395858895 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272904982835389 mean_prior_absolute_error 0.272804289453111 mean_prior_absolute_error 0.27287651677373237 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 mean_prior_absolute_error 0.2728747259382053 number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,51,41,28] number_of_instances 280 [58,34,68,52,41,27] number_of_instances 280 [58,35,68,51,41,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] number_of_instances 279 [57,34,68,51,42,27] precision 0.975267094017094 [1,0.970588,0.944444,0.980769,1,0.958333] precision 0.9113656100738167 [1,0.941176,0.712766,1,0.952381,0.952381] precision 0.9688747165532878 [1,0.942857,0.930556,1,0.95,1] precision 0.9857428544540344 [1,0.969697,0.985507,1,0.97619,0.964286] precision 0.979408091908092 [1,1,0.985294,1,0.909091,0.961538] precision 0.9584928999013506 [1,1,0.929577,0.961538,0.911111,0.954545] precision 0.9894961928622518 [1,1,0.985507,0.980769,1,0.964286] precision 0.9858153640974346 [1,1,0.985294,0.980769,0.976744,0.962963] precision 0.9822482177320887 [1,0.971429,0.971429,1,0.97619,0.961538] precision 0.97901374420776 [1,0.944444,0.985507,0.980769,1,0.925926] predictive_accuracy 0.975 predictive_accuracy 0.8892857142857143 predictive_accuracy 0.967857142857143 predictive_accuracy 0.9857142857142857 predictive_accuracy 0.9785714285714286 predictive_accuracy 0.9571428571428571 predictive_accuracy 0.989247311827957 predictive_accuracy 0.9856630824372761 predictive_accuracy 0.982078853046595 predictive_accuracy 0.9784946236559139 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 prior_entropy 2.5206634795042744 recall 0.975 [1,0.970588,1,1,0.97561,0.821429] recall 0.8892857142857142 [0.948276,0.470588,0.985294,1,0.97561,0.714286] recall 0.9678571428571429 [0.982759,0.970588,0.985294,0.960784,0.926829,0.964286] recall 0.9857142857142858 [1,0.941176,1,0.980392,1,0.964286] recall 0.9785714285714285 [1,1,0.985294,0.961538,0.97561,0.925926] recall 0.9571428571428572 [0.982759,0.942857,0.970588,0.980392,1,0.777778] recall 0.989247311827957 [1,0.970588,1,1,0.952381,1] recall 0.985663082437276 [1,0.941176,0.985294,1,1,0.962963] recall 0.982078853046595 [0.964912,1,1,1,0.97619,0.925926] recall 0.978494623655914 [0.964912,1,1,1,0.952381,0.925926] relative_absolute_error 0.3851141576509679 relative_absolute_error 0.4941423479129087 relative_absolute_error 0.45174446107293975 relative_absolute_error 0.3654493182493734 relative_absolute_error 0.3777350289425231 relative_absolute_error 0.3278244867590619 relative_absolute_error 0.2137752624560071 relative_absolute_error 0.355131510915791 relative_absolute_error 0.37554956345115575 relative_absolute_error 0.28148185470274384 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36940459271455434 root_mean_prior_squared_error 0.36926827610333357 root_mean_prior_squared_error 0.36936606105183667 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_prior_squared_error 0.3693636368423697 root_mean_squared_error 0.1757430818623778 root_mean_squared_error 0.21283046650447449 root_mean_squared_error 0.19579094408031347 root_mean_squared_error 0.16276628813344474 root_mean_squared_error 0.1672082206550044 root_mean_squared_error 0.15813136720193469 root_mean_squared_error 0.10564954715741816 root_mean_squared_error 0.15634881736368203 root_mean_squared_error 0.16442235920645576 root_mean_squared_error 0.130095701072027 root_relative_squared_error 0.47574687843195734 root_relative_squared_error 0.5761446140680023 root_relative_squared_error 0.5300176227955149 root_relative_squared_error 0.44061793313765646 root_relative_squared_error 0.4528096007039986 root_relative_squared_error 0.42811558471730465 root_relative_squared_error 0.286031261930923 root_relative_squared_error 0.4232923920185618 root_relative_squared_error 0.4451503689211966 root_relative_squared_error 0.352215778965667 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 1799.5603019990085 usercpu_time_millis 1246.496103998652 usercpu_time_millis 1585.323781997431 usercpu_time_millis 1529.0889219977544 usercpu_time_millis 1513.553345001128 usercpu_time_millis 1561.630859003344 usercpu_time_millis 1837.7244900002552 usercpu_time_millis 1786.5694450010778 usercpu_time_millis 1512.5932280025154 usercpu_time_millis 1747.06839299688 usercpu_time_millis_testing 26.563874998828396 usercpu_time_millis_testing 24.538994999602437 usercpu_time_millis_testing 27.15345599790453 usercpu_time_millis_testing 27.64716199817485 usercpu_time_millis_testing 27.064030000474304 usercpu_time_millis_testing 26.523014003032586 usercpu_time_millis_testing 29.035065999778453 usercpu_time_millis_testing 28.186118997837184 usercpu_time_millis_testing 26.4810850021604 usercpu_time_millis_testing 27.40395899672876 usercpu_time_millis_training 1772.9964270001801 usercpu_time_millis_training 1221.9571089990495 usercpu_time_millis_training 1558.1703259995265 usercpu_time_millis_training 1501.4417599995795 usercpu_time_millis_training 1486.4893150006537 usercpu_time_millis_training 1535.1078450003115 usercpu_time_millis_training 1808.6894240004767 usercpu_time_millis_training 1758.3833260032407 usercpu_time_millis_training 1486.112143000355 usercpu_time_millis_training 1719.6644340001512