6032899 1 Jan van Rijn 9960 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 4067583 class_weight null 6941 criterion "gini" 6941 max_depth 1 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 20271 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 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 [] 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 algorithm "SAMME.R" 6971 learning_rate 0.15770290315958457 6971 n_estimators 290 6971 random_state 33890 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 12988859 description https://api.openml.org/data/download/12988859/description.xml -1 12988860 predictions https://api.openml.org/data/download/12988860/predictions.arff area_under_roc_curve 0.9335626667434735 [0.899839,0.976063,0.999514,0.8895] average_cost 0 f_measure 0.6928341647513749 [0.756813,0.806188,0.919149,0.144397] kappa 0.5732589412260133 kb_relative_information_score 2790.3385074946204 mean_absolute_error 0.18297384514110468 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.7776232968670845 [0.615516,0.982853,0.859416,0.656863] predictive_accuracy 0.7313049853372433 prior_entropy 1.715110055559003 recall 0.7313049853372434 [0.982313,0.683357,0.987805,0.081114] relative_absolute_error 0.5523936327400639 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3145073407881483 root_relative_squared_error 0.7728525200158084 total_cost 0 area_under_roc_curve 0.9144321982315798 [0.931702,0.967333,0.99935,0.698236] area_under_roc_curve 0.945761110247247 [0.913881,0.981626,0.997342,0.919076] area_under_roc_curve 0.9568000171412546 [0.939354,0.983277,1,0.918876] area_under_roc_curve 0.9446504977041689 [0.910464,0.983999,0.999941,0.913724] area_under_roc_curve 0.9558636470842832 [0.929755,0.982355,0.999882,0.94054] area_under_roc_curve 0.9463377166350467 [0.918649,0.975673,1,0.924172] area_under_roc_curve 0.9397088319503764 [0.907343,0.97049,1,0.924373] area_under_roc_curve 0.9527863920256888 [0.933607,0.975087,1,0.929497] area_under_roc_curve 0.9431071687266329 [0.905103,0.985461,1,0.914687] area_under_roc_curve 0.9408805893169437 [0.908916,0.983239,1,0.895275] 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 0.5751474777658233 [0.711256,0.560811,0.864865,0.12844] f_measure 0.5848762768552934 [0.694268,0.613861,0.84507,0.111111] f_measure 0.7353657731181195 [0.781651,0.885417,0.942857,0.150538] f_measure 0.7457892434754143 [0.794872,0.915601,0.985075,0.090909] f_measure 0.7319763227926198 [0.782765,0.854054,0.916667,0.215054] f_measure 0.7131762011173776 [0.778378,0.855615,0.88,0.113636] f_measure 0.7170200419344451 [0.778761,0.846154,0.901408,0.155556] f_measure 0.7535999846426032 [0.794776,0.905371,0.941176,0.189474] f_measure 0.5921154502907154 [0.694969,0.592593,0.985075,0.155556] f_measure 0.7340078897214607 [0.780847,0.888312,0.942857,0.130435] kappa 0.4075751750001317 kappa 0.4151952830037112 kappa 0.6428240925408855 kappa 0.6697975370486328 kappa 0.6316670119356844 kappa 0.6169948186528497 kappa 0.6152035773123088 kappa 0.668151519036021 kappa 0.42303121961758666 kappa 0.6415968947486608 kb_relative_information_score 247.92736387126945 kb_relative_information_score 242.5298046314254 kb_relative_information_score 291.88479084564256 kb_relative_information_score 290.92412576672274 kb_relative_information_score 290.64099945195903 kb_relative_information_score 296.51177174162336 kb_relative_information_score 275.76281566656445 kb_relative_information_score 306.04516257022624 kb_relative_information_score 259.60577866940525 kb_relative_information_score 288.5058942798005 mean_absolute_error 0.1983890898191158 mean_absolute_error 0.2015397667320998 mean_absolute_error 0.17207759379950804 mean_absolute_error 0.17698806226847202 mean_absolute_error 0.17964657583942303 mean_absolute_error 0.17725817113402878 mean_absolute_error 0.18374139542467646 mean_absolute_error 0.16664039855627613 mean_absolute_error 0.19712678767181316 mean_absolute_error 0.17631582816793137 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 0.6824044627277945 [0.556122,0.965116,0.780488,0.259259] precision 0.7429965127333549 [0.535627,1,0.789474,0.625] precision 0.8001638491028411 [0.655385,0.977011,0.891892,0.7] precision 0.8288474131266788 [0.665644,0.98895,0.970588,0.8] precision 0.8436128516161614 [0.646884,0.9875,0.846154,1] precision 0.834537301241238 [0.644776,0.97561,0.785714,1] precision 0.8432041565667413 [0.637681,1,0.820513,1] precision 0.8135610668638191 [0.67619,0.972527,0.888889,0.75] precision 0.7898505842040585 [0.53253,1,0.970588,0.875] precision 0.7838496110504487 [0.658385,0.971591,0.891892,0.6] predictive_accuracy 0.6227106227106227 predictive_accuracy 0.6336996336996337 predictive_accuracy 0.7747252747252747 predictive_accuracy 0.793040293040293 predictive_accuracy 0.7673992673992674 predictive_accuracy 0.7582417582417582 predictive_accuracy 0.7577981651376148 predictive_accuracy 0.7908256880733946 predictive_accuracy 0.6403669724770643 predictive_accuracy 0.7743119266055046 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 prior_entropy 1.715110055559003 recall 0.6227106227106227 [0.986425,0.395238,0.969697,0.085366] recall 0.6336996336996337 [0.986425,0.442857,0.909091,0.060976] recall 0.7747252747252747 [0.968182,0.809524,1,0.084337] recall 0.793040293040293 [0.986364,0.852381,1,0.048193] recall 0.7673992673992674 [0.990909,0.752381,1,0.120482] recall 0.7582417582417582 [0.981818,0.761905,1,0.060241] recall 0.7577981651376147 [1,0.733333,1,0.084337] recall 0.7908256880733945 [0.963801,0.84689,1,0.108434] recall 0.6403669724770642 [1,0.421053,1,0.085366] recall 0.7743119266055046 [0.959276,0.818182,1,0.073171] relative_absolute_error 0.5991032327619875 relative_absolute_error 0.6086177717201445 relative_absolute_error 0.5192840428465997 relative_absolute_error 0.534102520154025 relative_absolute_error 0.5421252013445493 relative_absolute_error 0.5349176362921462 relative_absolute_error 0.5549078141622761 relative_absolute_error 0.5032895672711369 relative_absolute_error 0.5952145431986923 relative_absolute_error 0.5323768847509122 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 0.33652281195311645 root_mean_squared_error 0.34660931812095624 root_mean_squared_error 0.30284762435018353 root_mean_squared_error 0.3006451096586831 root_mean_squared_error 0.3056998097335627 root_mean_squared_error 0.29906593166042555 root_mean_squared_error 0.3173486347775539 root_mean_squared_error 0.2892003078771857 root_mean_squared_error 0.33799502565432377 root_mean_squared_error 0.30359428667671207 root_relative_squared_error 0.8271887297480327 root_relative_squared_error 0.8519818312205519 root_relative_squared_error 0.7438939643954988 root_relative_squared_error 0.7384838595976977 root_relative_squared_error 0.7508998753600816 root_relative_squared_error 0.734604875953264 root_relative_squared_error 0.7801115329497105 root_relative_squared_error 0.7109558441849481 root_relative_squared_error 0.8307003652757436 root_relative_squared_error 0.7461526522461333 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 5321.675660998153 usercpu_time_millis 5082.841577997897 usercpu_time_millis 5190.186106003239 usercpu_time_millis 5124.011539999628 usercpu_time_millis 5192.927732001408 usercpu_time_millis 5088.132474993472 usercpu_time_millis 5183.7248880037805 usercpu_time_millis 5067.741250997642 usercpu_time_millis 5189.481456996873 usercpu_time_millis 5066.857496000011 usercpu_time_millis_testing 107.70612300257199 usercpu_time_millis_testing 107.42465400107903 usercpu_time_millis_testing 107.32405399903655 usercpu_time_millis_testing 106.89639100019122 usercpu_time_millis_testing 111.26940699614352 usercpu_time_millis_testing 107.99314099858748 usercpu_time_millis_testing 110.79346900078235 usercpu_time_millis_testing 108.8143660017522 usercpu_time_millis_testing 106.9358869935968 usercpu_time_millis_testing 107.19601099845022 usercpu_time_millis_training 5213.969537995581 usercpu_time_millis_training 4975.416923996818 usercpu_time_millis_training 5082.862052004202 usercpu_time_millis_training 5017.115148999437 usercpu_time_millis_training 5081.6583250052645 usercpu_time_millis_training 4980.1393339948845 usercpu_time_millis_training 5072.931419002998 usercpu_time_millis_training 4958.92688499589 usercpu_time_millis_training 5082.545570003276 usercpu_time_millis_training 4959.661485001561