10353663 8323 Heinrich Peters 9985 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8209152 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 1000 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.03162277660168379 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 7160 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. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 21629028 description https://api.openml.org/data/download/21629028/description.xml -1 21629029 predictions https://api.openml.org/data/download/21629029/predictions.arff area_under_roc_curve 0.7215754717401673 [0.682408,0.628721,0.661109,0.653755,0.650966,0.80729] average_cost 0 f_measure 0.5627806187731567 [0.469781,0.334096,0.415363,0.381426,0.382727,0.776929] kappa 0.4192727959796286 kb_relative_information_score 0.4297819817217165 mean_absolute_error 0.1439468235806958 mean_prior_absolute_error 0.2507645736611627 number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5599183778041453 [0.440514,0.376289,0.443769,0.390492,0.405745,0.758389] predictive_accuracy 0.5681595292579275 prior_entropy 2.3000072984859514 recall 0.5681595292579275 [0.503214,0.300412,0.390374,0.372771,0.362179,0.796398] relative_absolute_error 0.5740317361382918 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3794032466659923 root_relative_squared_error 1.0715337858263505 total_cost 0 area_under_roc_curve 0.7296752751247633 [0.704042,0.599512,0.664347,0.644575,0.674473,0.818074] area_under_roc_curve 0.7265062477965233 [0.697467,0.60461,0.651285,0.688651,0.671741,0.806723] area_under_roc_curve 0.7214100323462341 [0.653439,0.679215,0.671136,0.616979,0.630237,0.821008] area_under_roc_curve 0.7080070181797852 [0.6821,0.623754,0.690354,0.60346,0.608006,0.790196] area_under_roc_curve 0.7171603946938365 [0.661991,0.59847,0.639814,0.685132,0.669795,0.805602] area_under_roc_curve 0.723252280882776 [0.687681,0.58649,0.686629,0.70739,0.634927,0.80084] area_under_roc_curve 0.7059570040586746 [0.694484,0.67878,0.603687,0.674223,0.58654,0.782913] area_under_roc_curve 0.727269385010803 [0.674759,0.614003,0.69486,0.653105,0.690469,0.807387] area_under_roc_curve 0.7191590759079319 [0.66003,0.633159,0.660821,0.629389,0.65634,0.814156] area_under_roc_curve 0.737402075581392 [0.707893,0.66885,0.647982,0.633949,0.686001,0.825968] 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 0.5724944037792833 [0.502128,0.289474,0.423358,0.353846,0.419355,0.789272] f_measure 0.5692518610851122 [0.491525,0.289157,0.397163,0.446281,0.409449,0.775194] f_measure 0.5598309858202288 [0.424242,0.412371,0.441176,0.324324,0.33871,0.792381] f_measure 0.5412777954859195 [0.471616,0.309278,0.459459,0.293103,0.306306,0.75717] f_measure 0.5563431312112422 [0.436975,0.272727,0.379562,0.452174,0.409836,0.774809] f_measure 0.5634456697814224 [0.480349,0.247191,0.447368,0.461538,0.36036,0.768031] f_measure 0.5415551429499841 [0.485356,0.447059,0.311111,0.409449,0.266667,0.750469] f_measure 0.5762520099447022 [0.454545,0.313253,0.488889,0.389381,0.453782,0.778195] f_measure 0.5575806790832535 [0.439462,0.337079,0.408163,0.336134,0.393162,0.785579] f_measure 0.5854044958675751 [0.510823,0.413793,0.391304,0.33871,0.446281,0.798464] kappa 0.43335163592907217 kappa 0.42917384374575623 kappa 0.4156825866289546 kappa 0.39219320858625156 kappa 0.4106948451608035 kappa 0.42219926251848156 kappa 0.3935860901766213 kappa 0.4356264849793324 kappa 0.41148905314877554 kappa 0.44849646502060564 kb_relative_information_score 0.4399587599084536 kb_relative_information_score 0.4393905363610392 kb_relative_information_score 0.4246562405078491 kb_relative_information_score 0.4036724625969817 kb_relative_information_score 0.42236055350623647 kb_relative_information_score 0.43277708624948924 kb_relative_information_score 0.41021882413191796 kb_relative_information_score 0.4480075904529772 kb_relative_information_score 0.4211264371592494 kb_relative_information_score 0.455763880911717 mean_absolute_error 0.14052287581699324 mean_absolute_error 0.14215686274509778 mean_absolute_error 0.1448801742919387 mean_absolute_error 0.15087145969498872 mean_absolute_error 0.14596949891067507 mean_absolute_error 0.14433551198257052 mean_absolute_error 0.14923747276688418 mean_absolute_error 0.13888888888888867 mean_absolute_error 0.14566284779050706 mean_absolute_error 0.1369339879978176 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 0.571959156551878 [0.468254,0.392857,0.460317,0.338235,0.42623,0.774436] precision 0.5676859190210567 [0.456693,0.342857,0.424242,0.457627,0.40625,0.766284] precision 0.5575731732857818 [0.398374,0.416667,0.491803,0.367347,0.344262,0.77037] precision 0.5371213265319051 [0.45,0.3125,0.465753,0.314815,0.346939,0.738806] precision 0.5541664908286718 [0.403101,0.307692,0.419355,0.490566,0.416667,0.754647] precision 0.5619584679758955 [0.458333,0.275,0.441558,0.441176,0.408163,0.763566] precision 0.5378777193849349 [0.446154,0.527778,0.35,0.4,0.325581,0.719424] precision 0.5755499925619212 [0.413534,0.382353,0.55,0.423077,0.473684,0.75] precision 0.5534632466660986 [0.429825,0.365854,0.416667,0.344828,0.418182,0.763838] precision 0.5837683788948905 [0.483607,0.461538,0.421875,0.333333,0.465517,0.784906] predictive_accuracy 0.5784313725490197 predictive_accuracy 0.5735294117647058 predictive_accuracy 0.565359477124183 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5620915032679739 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5630114566284778 predictive_accuracy 0.5891980360065466 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 0.5784313725490197 [0.541284,0.229167,0.391892,0.370968,0.412698,0.804688] recall 0.5735294117647058 [0.53211,0.25,0.373333,0.435484,0.412698,0.784314] recall 0.565359477124183 [0.453704,0.408163,0.4,0.290323,0.333333,0.815686] recall 0.5473856209150327 [0.495413,0.306122,0.453333,0.274194,0.274194,0.776471] recall 0.5620915032679739 [0.477064,0.244898,0.346667,0.419355,0.403226,0.796078] recall 0.5669934640522876 [0.504587,0.22449,0.453333,0.483871,0.322581,0.772549] recall 0.5522875816993464 [0.53211,0.387755,0.28,0.419355,0.225806,0.784314] recall 0.5833333333333334 [0.504587,0.265306,0.44,0.360656,0.435484,0.808594] recall 0.563011456628478 [0.449541,0.3125,0.4,0.327869,0.370968,0.808594] recall 0.5891980360065466 [0.541284,0.375,0.364865,0.344262,0.428571,0.8125] relative_absolute_error 0.5605780369380224 relative_absolute_error 0.5667332432487057 relative_absolute_error 0.577466735958629 relative_absolute_error 0.6014460818117965 relative_absolute_error 0.5819045123666481 relative_absolute_error 0.575390655884932 relative_absolute_error 0.5949322253300804 relative_absolute_error 0.5540583116197487 relative_absolute_error 0.5812942274363418 relative_absolute_error 0.546436027883409 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 0.37486380969225774 root_mean_squared_error 0.3770369514319489 root_mean_squared_error 0.3806312839112659 root_mean_squared_error 0.38842175491981484 root_mean_squared_error 0.38205954890654814 root_mean_squared_error 0.37991513786972286 root_mean_squared_error 0.3863126619292774 root_mean_squared_error 0.37267799624996467 root_mean_squared_error 0.38165802466410564 root_mean_squared_error 0.3700459268764049 root_relative_squared_error 1.0590918264166316 root_relative_squared_error 1.0645493170070146 root_relative_squared_error 1.074468113764085 root_relative_squared_error 1.0966402227412742 root_relative_squared_error 1.0786776577429387 root_relative_squared_error 1.0726232919220582 root_relative_squared_error 1.0906855711862844 root_relative_squared_error 1.0529136950168458 root_relative_squared_error 1.0786803481421812 root_relative_squared_error 1.0458149280227562 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 6440.629807999982 usercpu_time_millis 5927.228067999991 usercpu_time_millis 5740.7772850000065 usercpu_time_millis 5467.807780000016 usercpu_time_millis 5254.146537999986 usercpu_time_millis 5136.124170999992 usercpu_time_millis 5388.864662000004 usercpu_time_millis 5435.943257999995 usercpu_time_millis 5482.724849000007 usercpu_time_millis 5344.290614000001 usercpu_time_millis_testing 258.4114869999894 usercpu_time_millis_testing 237.11643899999046 usercpu_time_millis_testing 242.53233000000307 usercpu_time_millis_testing 227.99346300000423 usercpu_time_millis_testing 225.44627699998898 usercpu_time_millis_testing 224.6320269999984 usercpu_time_millis_testing 240.5447350000003 usercpu_time_millis_testing 237.4135799999948 usercpu_time_millis_testing 238.39489300000594 usercpu_time_millis_testing 219.73915300000613 usercpu_time_millis_training 6182.218320999993 usercpu_time_millis_training 5690.111629000001 usercpu_time_millis_training 5498.244955000004 usercpu_time_millis_training 5239.814317000011 usercpu_time_millis_training 5028.700260999997 usercpu_time_millis_training 4911.4921439999935 usercpu_time_millis_training 5148.319927000003 usercpu_time_millis_training 5198.529678 usercpu_time_millis_training 5244.329956000001 usercpu_time_millis_training 5124.5514609999955 wall_clock_time_millis 6441.810607910156 wall_clock_time_millis 5927.565574645996 wall_clock_time_millis 5740.997314453125 wall_clock_time_millis 5468.594789505005 wall_clock_time_millis 5254.296779632568 wall_clock_time_millis 5136.223316192627 wall_clock_time_millis 5388.96632194519 wall_clock_time_millis 5436.093330383301 wall_clock_time_millis 5483.1976890563965 wall_clock_time_millis 5344.46907043457 wall_clock_time_millis_testing 258.4209442138672 wall_clock_time_millis_testing 237.1532917022705 wall_clock_time_millis_testing 242.54107475280762 wall_clock_time_millis_testing 228.00064086914062 wall_clock_time_millis_testing 225.45695304870605 wall_clock_time_millis_testing 224.64227676391602 wall_clock_time_millis_testing 240.5526638031006 wall_clock_time_millis_testing 237.45393753051758 wall_clock_time_millis_testing 238.45744132995605 wall_clock_time_millis_testing 219.7551727294922 wall_clock_time_millis_training 6183.389663696289 wall_clock_time_millis_training 5690.412282943726 wall_clock_time_millis_training 5498.456239700317 wall_clock_time_millis_training 5240.594148635864 wall_clock_time_millis_training 5028.839826583862 wall_clock_time_millis_training 4911.581039428711 wall_clock_time_millis_training 5148.41365814209 wall_clock_time_millis_training 5198.639392852783 wall_clock_time_millis_training 5244.74024772644 wall_clock_time_millis_training 5124.713897705078