10363524 8323 Heinrich Peters 9960 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8218970 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 7061.843965992758 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 1.6792401713262466 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 16658 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 21648750 description https://api.openml.org/data/download/21648750/description.xml -1 21648751 predictions https://api.openml.org/data/download/21648751/predictions.arff area_under_roc_curve 0.8308498630567562 [0.840245,0.837902,0.763525,0.814602] average_cost 0 f_measure 0.7880661211095349 [0.809763,0.795147,0.687873,0.751955] kappa 0.6740679237839583 kb_relative_information_score 0.6847446657262275 mean_absolute_error 0.10502199413489736 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8269949606434366 [0.909553,0.68202,0.988571,0.910499] predictive_accuracy 0.7899560117302054 prior_entropy 1.7146330399083418 recall 0.7899560117302052 [0.729705,0.953267,0.527439,0.640436] relative_absolute_error 0.3170588715181842 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3240709708303065 root_relative_squared_error 0.7963536426289037 total_cost 0 area_under_roc_curve 0.831339680434508 [0.847421,0.839286,0.772727,0.791237] area_under_roc_curve 0.846278577744095 [0.852489,0.86131,0.742424,0.832843] area_under_roc_curve 0.8488884232819658 [0.856428,0.863988,0.757576,0.827006] area_under_roc_curve 0.844381132682041 [0.864152,0.846131,0.681818,0.852182] area_under_roc_curve 0.815879087692266 [0.829211,0.825298,0.787879,0.767845] area_under_roc_curve 0.8382564955715024 [0.851311,0.84256,0.833333,0.794725] area_under_roc_curve 0.8139554856129877 [0.833601,0.808493,0.780275,0.788687] area_under_roc_curve 0.831614758698092 [0.835861,0.839492,0.703125,0.85001] area_under_roc_curve 0.8303743103825503 [0.82362,0.84454,0.786902,0.829966] area_under_roc_curve 0.8074862344345785 [0.808502,0.807865,0.787879,0.811674] 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 0.7872515269300893 [0.819588,0.796117,0.705882,0.710145] f_measure 0.8044230168039413 [0.825871,0.820202,0.653061,0.767123] f_measure 0.8101628885528878 [0.830097,0.82377,0.68,0.774648] f_measure 0.8039559559786014 [0.840796,0.804,0.533333,0.813793] f_measure 0.7697172279565885 [0.794937,0.782101,0.730769,0.687023] f_measure 0.797593912119696 [0.824427,0.8,0.8,0.719424] f_measure 0.7679095280703742 [0.800995,0.765531,0.705882,0.710145] f_measure 0.7874986458785715 [0.804071,0.79604,0.577778,0.802721] f_measure 0.7868583236340305 [0.787879,0.801603,0.716981,0.774648] f_measure 0.7608496169764093 [0.767263,0.76378,0.730769,0.748201] kappa 0.6729227547623884 kappa 0.702164799027477 kappa 0.7099948968433331 kappa 0.7008359685650771 kappa 0.6458347500850051 kappa 0.6883755681464417 kappa 0.6407007042621989 kappa 0.6754274609368878 kappa 0.6738395087427145 kappa 0.6303407543448658 kb_relative_information_score 0.6820004356100462 kb_relative_information_score 0.7062105964797242 kb_relative_information_score 0.7134712867907355 kb_relative_information_score 0.6996201985369038 kb_relative_information_score 0.6600416449819556 kb_relative_information_score 0.7022721827852911 kb_relative_information_score 0.6577737101580869 kb_relative_information_score 0.6829813360792503 kb_relative_information_score 0.6894735485804919 kb_relative_information_score 0.6534262863753417 mean_absolute_error 0.10531135531135531 mean_absolute_error 0.09615384615384616 mean_absolute_error 0.09340659340659341 mean_absolute_error 0.09615384615384616 mean_absolute_error 0.11355311355311355 mean_absolute_error 0.10073260073260074 mean_absolute_error 0.11559633027522936 mean_absolute_error 0.10458715596330276 mean_absolute_error 0.10550458715596331 mean_absolute_error 0.11926605504587157 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.8357339095902951 [0.952096,0.672131,1,0.875] precision 0.8370220334090646 [0.917127,0.712281,1,0.875] precision 0.8390932485898038 [0.890625,0.723022,1,0.932203] precision 0.8458265739768999 [0.928571,0.693103,1,0.951613] precision 0.8187410490511994 [0.897143,0.661184,1,0.9375] precision 0.8368412339199194 [0.936416,0.684746,1,0.892857] precision 0.8030560660003 [0.884615,0.6609,0.947368,0.890909] precision 0.8320175233105945 [0.918605,0.679054,1,0.921875] precision 0.821395067865805 [0.891429,0.689655,0.95,0.916667] precision 0.8044263646136298 [0.882353,0.648829,1,0.912281] predictive_accuracy 0.7893772893772893 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.8131868131868132 predictive_accuracy 0.8076923076923077 predictive_accuracy 0.7728937728937728 predictive_accuracy 0.7985347985347986 predictive_accuracy 0.7688073394495413 predictive_accuracy 0.7908256880733946 predictive_accuracy 0.7889908256880734 predictive_accuracy 0.7614678899082569 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 recall 0.7893772893772893 [0.719457,0.97619,0.545455,0.597561] recall 0.8076923076923077 [0.751131,0.966667,0.484848,0.682927] recall 0.8131868131868132 [0.777273,0.957143,0.515152,0.662651] recall 0.8076923076923077 [0.768182,0.957143,0.363636,0.710843] recall 0.7728937728937729 [0.713636,0.957143,0.575758,0.542169] recall 0.7985347985347986 [0.736364,0.961905,0.666667,0.60241] recall 0.7688073394495413 [0.731818,0.909524,0.5625,0.590361] recall 0.7908256880733945 [0.714932,0.961722,0.40625,0.710843] recall 0.7889908256880734 [0.705882,0.956938,0.575758,0.670732] recall 0.7614678899082569 [0.678733,0.92823,0.575758,0.634146] relative_absolute_error 0.31802340275417706 relative_absolute_error 0.29036919381903126 relative_absolute_error 0.2818760559217155 relative_absolute_error 0.2901665281547071 relative_absolute_error 0.3426728522969874 relative_absolute_error 0.3039839818763598 relative_absolute_error 0.3491064537196465 relative_absolute_error 0.3158755315213273 relative_absolute_error 0.3185658600288888 relative_absolute_error 0.3601179287283091 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.3245171109685209 root_mean_squared_error 0.31008683647302115 root_mean_squared_error 0.3056249227510633 root_mean_squared_error 0.31008683647302115 root_mean_squared_error 0.3369764287796901 root_mean_squared_error 0.31738399570961473 root_mean_squared_error 0.3399946033030956 root_mean_squared_error 0.32339937532917834 root_mean_squared_error 0.3248146966440455 root_mean_squared_error 0.34534917843520574 root_relative_squared_error 0.7976781581182978 root_relative_squared_error 0.7622078719865187 root_relative_squared_error 0.7507159281542464 root_relative_squared_error 0.7616758645068588 root_relative_squared_error 0.8277255997983503 root_relative_squared_error 0.7796001019017609 root_relative_squared_error 0.8357802180662373 root_relative_squared_error 0.7950291532666065 root_relative_squared_error 0.7983066810725614 root_relative_squared_error 0.8487748839451994 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 7071.531795998453 usercpu_time_millis 6985.4589109745575 usercpu_time_millis 6966.683263992309 usercpu_time_millis 6961.3415589992655 usercpu_time_millis 6995.674171004794 usercpu_time_millis 6902.4554819916375 usercpu_time_millis 6979.917153017595 usercpu_time_millis 7055.282435991103 usercpu_time_millis 6987.773717992241 usercpu_time_millis 7094.47189400089 usercpu_time_millis_testing 222.42517399718054 usercpu_time_millis_testing 221.50078798586037 usercpu_time_millis_testing 223.15686799993273 usercpu_time_millis_testing 221.86140500707552 usercpu_time_millis_testing 220.60815400618594 usercpu_time_millis_testing 221.8041890009772 usercpu_time_millis_testing 220.59826701297425 usercpu_time_millis_testing 220.47399599978235 usercpu_time_millis_testing 222.00369599158876 usercpu_time_millis_testing 219.7295119985938 usercpu_time_millis_training 6849.106622001273 usercpu_time_millis_training 6763.958122988697 usercpu_time_millis_training 6743.526395992376 usercpu_time_millis_training 6739.48015399219 usercpu_time_millis_training 6775.066016998608 usercpu_time_millis_training 6680.65129299066 usercpu_time_millis_training 6759.318886004621 usercpu_time_millis_training 6834.8084399913205 usercpu_time_millis_training 6765.770022000652 usercpu_time_millis_training 6874.742382002296 wall_clock_time_millis 7075.563430786133 wall_clock_time_millis 6989.585399627686 wall_clock_time_millis 6971.137046813965 wall_clock_time_millis 6965.430974960327 wall_clock_time_millis 6999.297142028809 wall_clock_time_millis 6906.110763549805 wall_clock_time_millis 6984.00616645813 wall_clock_time_millis 7059.379577636719 wall_clock_time_millis 6991.885185241699 wall_clock_time_millis 7098.631381988525 wall_clock_time_millis_testing 222.43809700012207 wall_clock_time_millis_testing 221.5135097503662 wall_clock_time_millis_testing 223.17099571228027 wall_clock_time_millis_testing 222.35465049743652 wall_clock_time_millis_testing 220.62134742736816 wall_clock_time_millis_testing 221.818208694458 wall_clock_time_millis_testing 220.6118106842041 wall_clock_time_millis_testing 220.51501274108887 wall_clock_time_millis_testing 222.0463752746582 wall_clock_time_millis_testing 219.7418212890625 wall_clock_time_millis_training 6853.125333786011 wall_clock_time_millis_training 6768.071889877319 wall_clock_time_millis_training 6747.966051101685 wall_clock_time_millis_training 6743.076324462891 wall_clock_time_millis_training 6778.67579460144 wall_clock_time_millis_training 6684.292554855347 wall_clock_time_millis_training 6763.394355773926 wall_clock_time_millis_training 6838.86456489563 wall_clock_time_millis_training 6769.838809967041 wall_clock_time_millis_training 6878.889560699463