8753422 1 Jan van Rijn 14967 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6729553 axis 0 7660 categorical_features [0, 1] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "most_frequent" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [0, 1] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 0.9539162547707987 7708 cache_size 200 7708 class_weight null 7708 coef0 -0.16150740078085746 7708 decision_function_shape null 7708 degree 5 7708 gamma 3.7918786655156698 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 2591 7708 shrinking false 7708 tol 0.002149459468048565 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 23380 cjs https://www.openml.org/data/download/1910442/phpDAC5gS -1 18423245 description https://api.openml.org/data/download/18423245/description.xml -1 18423246 predictions https://api.openml.org/data/download/18423246/predictions.arff area_under_roc_curve 0.9768624378583672 [0.987911,0.979534,0.990609,0.971656,0.959061,0.952804] average_cost 0 f_measure 0.8396409743647746 [0.933333,0.887439,0.951426,0.85426,0.655319,0.557009] kappa 0.7879230761698365 kb_relative_information_score 2151.5551139728927 mean_absolute_error 0.07447596035691785 mean_prior_absolute_error 0.27287997162595995 number_of_instances 2796 [576,341,680,511,414,274] precision 0.8847888235161121 [1,1,1,1,0.505913,0.570881] predictive_accuracy 0.8254649499284693 prior_entropy 2.5206634795042744 recall 0.8254649499284692 [0.875,0.797654,0.907353,0.745597,0.929952,0.543796] relative_absolute_error 0.27292571130505316 root_mean_prior_squared_error 0.3693707377543301 root_mean_squared_error 0.18912223066164593 root_relative_squared_error 0.5120119471603402 total_cost 0 area_under_roc_curve 0.9915478313128611 [0.994719,0.993902,0.997572,0.986086,0.987754,0.982993] area_under_roc_curve 0.988946740875584 [0.989127,0.995098,0.995838,0.988013,0.981018,0.977679] area_under_roc_curve 0.9931191466147686 [0.997515,0.992826,0.996774,0.991095,0.985917,0.989725] area_under_roc_curve 0.9945868668343519 [0.998835,0.993544,0.997988,0.995376,0.989285,0.985119] area_under_roc_curve 0.9930005085982437 [0.995185,0.996055,0.99667,0.993674,0.989999,0.97848] area_under_roc_curve 0.9911932317230135 [0.994719,0.992303,0.995283,0.99071,0.984845,0.982433] area_under_roc_curve 0.9912864215015719 [0.995733,0.986555,0.998676,0.989336,0.981917,0.987507] area_under_roc_curve 0.9930733006659033 [0.998657,0.990996,0.9977,0.991056,0.990155,0.9806] area_under_roc_curve 0.9912982774347209 [0.993678,0.987395,0.996445,0.991744,0.987342,0.983539] area_under_roc_curve 0.9888288118946622 [0.993678,0.992617,0.998502,0.985681,0.980711,0.968034] 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 0.8243770875170552 [0.93578,0.920635,0.977444,0.785714,0.61194,0.486486] f_measure 0.8253331150353602 [0.895238,0.9375,0.929134,0.879121,0.616541,0.5] f_measure 0.8412318583460385 [0.964286,0.847458,0.945736,0.866667,0.677419,0.518519] f_measure 0.8523102264769387 [0.954955,0.885246,0.945736,0.879121,0.650794,0.619048] f_measure 0.8806076660401668 [0.90566,0.9375,0.953846,0.88172,0.876712,0.574468] f_measure 0.8495053353824853 [0.925926,0.90625,0.945736,0.891304,0.645669,0.6] f_measure 0.8660033907012084 [0.944444,0.847458,0.985075,0.866667,0.7,0.680851] f_measure 0.8327755501423918 [0.963636,0.866667,0.953846,0.813953,0.636364,0.55] f_measure 0.8228666488219635 [0.934579,0.827586,0.920635,0.840909,0.641221,0.583333] f_measure 0.8132594613522859 [0.903846,0.885246,0.953846,0.827586,0.613139,0.461538] kappa 0.7735191637630662 kappa 0.7699010760690917 kappa 0.776618594660939 kappa 0.8041745022768599 kappa 0.8280283139097454 kappa 0.7999036803430224 kappa 0.8250536909595397 kappa 0.7813616701147263 kappa 0.7647371133215696 kappa 0.7554087479257334 kb_relative_information_score 215.20899435425858 kb_relative_information_score 212.87821098383364 kb_relative_information_score 215.30356227990822 kb_relative_information_score 219.08687162587756 kb_relative_information_score 223.88424115502744 kb_relative_information_score 215.1986160242858 kb_relative_information_score 216.7012261492196 kb_relative_information_score 218.82586630533947 kb_relative_information_score 205.76627699961603 kb_relative_information_score 208.70124809551638 mean_absolute_error 0.07468001440823827 mean_absolute_error 0.07856601659547036 mean_absolute_error 0.07520903744347558 mean_absolute_error 0.07020677127211322 mean_absolute_error 0.06476818178580306 mean_absolute_error 0.07578285248087142 mean_absolute_error 0.07178329489246589 mean_absolute_error 0.06897749890793314 mean_absolute_error 0.08344803849149518 mean_absolute_error 0.08136529115567182 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 0.9181259600614439 [1,1,1,1,0.44086,1] precision 0.9021609730848862 [1,1,1,1,0.445652,0.833333] precision 0.935 [1,1,1,1,1,0.35] precision 0.9170588235294117 [1,1,1,1,0.482353,0.928571] precision 0.9424307036247336 [1,1,1,1,1,0.402985] precision 0.9159628162535138 [1,1,1,1,0.476744,0.923077] precision 0.9111662531017369 [1,1,1,1,0.538462,0.8] precision 0.9048249241797628 [1,1,1,1,0.466667,0.846154] precision 0.8882445330433733 [1,1,1,1,0.47191,0.666667] precision 0.8918222976796831 [1,1,1,1,0.442105,0.75] predictive_accuracy 0.8142857142857143 predictive_accuracy 0.8107142857142857 predictive_accuracy 0.8142857142857143 predictive_accuracy 0.8392857142857143 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8357142857142857 predictive_accuracy 0.8566308243727598 predictive_accuracy 0.8207885304659499 predictive_accuracy 0.8064516129032258 predictive_accuracy 0.7992831541218638 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 0.8142857142857143 [0.87931,0.852941,0.955882,0.647059,1,0.321429] recall 0.8107142857142857 [0.810345,0.882353,0.867647,0.784314,1,0.357143] recall 0.8142857142857143 [0.931034,0.735294,0.897059,0.764706,0.512195,1] recall 0.8392857142857143 [0.913793,0.794118,0.897059,0.784314,1,0.464286] recall 0.8571428571428571 [0.827586,0.882353,0.911765,0.788462,0.780488,1] recall 0.8357142857142857 [0.862069,0.828571,0.897059,0.803922,1,0.444444] recall 0.8566308243727598 [0.894737,0.735294,0.970588,0.764706,1,0.592593] recall 0.8207885304659498 [0.929825,0.764706,0.911765,0.686275,1,0.407407] recall 0.8064516129032258 [0.877193,0.705882,0.852941,0.72549,1,0.518519] recall 0.7992831541218638 [0.824561,0.794118,0.911765,0.705882,1,0.333333] relative_absolute_error 0.27364840917281386 relative_absolute_error 0.28788780541563014 relative_absolute_error 0.2755868971760044 relative_absolute_error 0.2572571982478627 relative_absolute_error 0.2374162881223144 relative_absolute_error 0.2777184837188102 relative_absolute_error 0.2630631863968296 relative_absolute_error 0.2527808270655072 relative_absolute_error 0.30581080092552315 relative_absolute_error 0.2981781873565588 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 0.18872247589038588 root_mean_squared_error 0.1949802481384461 root_mean_squared_error 0.18897107870120491 root_mean_squared_error 0.18446053940113089 root_mean_squared_error 0.17745258222927887 root_mean_squared_error 0.18895152715080554 root_mean_squared_error 0.18367145969319262 root_mean_squared_error 0.18256552355122485 root_mean_squared_error 0.2021671039691489 root_mean_squared_error 0.19796067150904764 root_relative_squared_error 0.5108828628890794 root_relative_squared_error 0.5278230211098403 root_relative_squared_error 0.5115558453471268 root_relative_squared_error 0.4993455496739504 root_relative_squared_error 0.4805519285377814 root_relative_squared_error 0.511556277295028 root_relative_squared_error 0.49726459611284524 root_relative_squared_error 0.4942704298450928 root_relative_squared_error 0.5473389467827502 root_relative_squared_error 0.5359506236222428 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 3855.988066003192 usercpu_time_millis 3662.511320988415 usercpu_time_millis 3627.2874909918755 usercpu_time_millis 3691.5287639858434 usercpu_time_millis 3629.201343006571 usercpu_time_millis 3637.0168499997817 usercpu_time_millis 3615.0471180008026 usercpu_time_millis 3800.801359000616 usercpu_time_millis 3644.415901013417 usercpu_time_millis 3631.457038994995 usercpu_time_millis_testing 91.67270800389815 usercpu_time_millis_testing 91.92241200071294 usercpu_time_millis_testing 90.34890099428594 usercpu_time_millis_testing 91.26500198908616 usercpu_time_millis_testing 91.1986419960158 usercpu_time_millis_testing 90.88511500158347 usercpu_time_millis_testing 89.79125700716395 usercpu_time_millis_testing 89.50573799666017 usercpu_time_millis_testing 89.05200300796423 usercpu_time_millis_testing 91.62418400228489 usercpu_time_millis_training 3764.315357999294 usercpu_time_millis_training 3570.588908987702 usercpu_time_millis_training 3536.9385899975896 usercpu_time_millis_training 3600.2637619967572 usercpu_time_millis_training 3538.002701010555 usercpu_time_millis_training 3546.131734998198 usercpu_time_millis_training 3525.2558609936386 usercpu_time_millis_training 3711.2956210039556 usercpu_time_millis_training 3555.363898005453 usercpu_time_millis_training 3539.83285499271