8778556 4009 Vishal Chouskey 2079 Supervised Classification 7694 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(4) 6753873 categorical_features [0, 2, 3, 4, 9] 7256 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7256 handle_unknown "ignore" 7256 n_values "auto" 7256 sparse true 7256 bootstrap true 7257 class_weight null 7257 criterion "gini" 7257 max_depth null 7257 max_features 0.4977407038096979 7257 max_leaf_nodes null 7257 min_impurity_split 1e-07 7257 min_samples_leaf 11 7257 min_samples_split 17 7257 min_weight_fraction_leaf 0.0 7257 n_estimators 10 7257 n_jobs 1 7257 oob_score false 7257 random_state 60333 7257 verbose 0 7257 warm_start false 7257 threshold 0.0 7345 axis 0 7660 categorical_features [0, 2, 3, 4, 9] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 openml-pimp openml-python Sklearn_0.18.2. 188 eucalyptus https://www.openml.org/data/download/3625/dataset_194_eucalyptus.arff -1 18473333 description https://api.openml.org/data/download/18473333/description.xml -1 18473334 predictions https://api.openml.org/data/download/18473334/predictions.arff area_under_roc_curve 0.8987419541764838 [0.971468,0.913704,0.864128,0.852884,0.89514] average_cost 0 f_measure 0.6591327732303752 [0.876081,0.596154,0.559387,0.668016,0.45679] kappa 0.5649805931647738 kb_relative_information_score 368.2039655308378 mean_absolute_error 0.19555286394454266 mean_prior_absolute_error 0.313229771753801 number_of_instances 736 [180,107,130,214,105] precision 0.6742164257225013 [0.91018,0.613861,0.557252,0.589286,0.649123] predictive_accuracy 0.6644021739130435 prior_entropy 2.2628851981053564 recall 0.6644021739130435 [0.844444,0.579439,0.561538,0.771028,0.352381] relative_absolute_error 0.6243112295795671 root_mean_prior_squared_error 0.39571712668407916 root_mean_squared_error 0.30419744435528107 root_relative_squared_error 0.7687244848468162 total_cost 0 area_under_roc_curve 0.9207668021076622 [0.998016,0.930736,0.91425,0.881402,0.867244] area_under_roc_curve 0.9263082041654574 [0.981151,0.895382,0.931904,0.881402,0.946609] area_under_roc_curve 0.8826008906695382 [0.994048,0.933622,0.833544,0.803322,0.864062] area_under_roc_curve 0.913434377253537 [0.979167,0.875902,0.819672,0.918269,0.947656] area_under_roc_curve 0.898176648432796 [0.942956,0.958874,0.833544,0.867133,0.903125] area_under_roc_curve 0.9114446269927827 [0.928075,0.874459,0.92686,0.911713,0.901563] area_under_roc_curve 0.861854085915067 [0.929293,0.846041,0.816667,0.81685,0.911111] area_under_roc_curve 0.9028875970104429 [0.986869,0.947619,0.907692,0.833333,0.851906] area_under_roc_curve 0.8955392989197672 [1,0.939683,0.857692,0.796703,0.917889] area_under_roc_curve 0.8845578097456135 [0.960606,0.931746,0.783333,0.854396,0.894428] 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 0.6865792262851086 [0.944444,0.636364,0.583333,0.705882,0.4] f_measure 0.7015921947510506 [0.83871,0.666667,0.64,0.716981,0.555556] f_measure 0.6006484506484506 [0.914286,0.571429,0.5,0.615385,0.166667] f_measure 0.7150707850707849 [0.857143,0.64,0.56,0.75,0.666667] f_measure 0.6194563341622165 [0.823529,0.7,0.444444,0.615385,0.4] f_measure 0.7230469758683081 [0.823529,0.526316,0.709677,0.791667,0.625] f_measure 0.590852863634281 [0.848485,0.434783,0.461538,0.666667,0.307692] f_measure 0.655396177298159 [0.918919,0.736842,0.666667,0.536585,0.363636] f_measure 0.6645347190392802 [0.972973,0.6,0.583333,0.608696,0.421053] f_measure 0.6090749120160883 [0.8,0.444444,0.416667,0.653846,0.588235] kappa 0.6136687233032748 kappa 0.614856872486397 kappa 0.5048984468339306 kappa 0.633317602642756 kappa 0.5063140338336907 kappa 0.6504487482286254 kappa 0.4834065397755002 kappa 0.5627695256348826 kappa 0.5758896151053013 kappa 0.4993877051187853 kb_relative_information_score 39.674802432320874 kb_relative_information_score 39.02298957085832 kb_relative_information_score 36.331717382689284 kb_relative_information_score 38.79412551932291 kb_relative_information_score 35.7335860172886 kb_relative_information_score 37.89592168017799 kb_relative_information_score 32.514652391342445 kb_relative_information_score 35.509855050953234 kb_relative_information_score 38.224822239501 kb_relative_information_score 34.50149324638401 mean_absolute_error 0.1818673777495153 mean_absolute_error 0.19175209018128825 mean_absolute_error 0.19666323289228338 mean_absolute_error 0.18508432026147975 mean_absolute_error 0.2007946959465899 mean_absolute_error 0.19339501516527385 mean_absolute_error 0.2116724154138935 mean_absolute_error 0.20104216781352793 mean_absolute_error 0.19011422678910947 mean_absolute_error 0.20346858286905126 mean_prior_absolute_error 0.3137031768610717 mean_prior_absolute_error 0.3137031768610717 mean_prior_absolute_error 0.3129080497501551 mean_prior_absolute_error 0.3129080497501551 mean_prior_absolute_error 0.3129080497501551 mean_prior_absolute_error 0.3129080497501551 mean_prior_absolute_error 0.31330486384559936 mean_prior_absolute_error 0.3133196531898768 mean_prior_absolute_error 0.3133196531898768 mean_prior_absolute_error 0.3133196531898768 number_of_instances 74 [18,11,13,21,11] number_of_instances 74 [18,11,13,21,11] number_of_instances 74 [18,11,13,22,10] number_of_instances 74 [18,11,13,22,10] number_of_instances 74 [18,11,13,22,10] number_of_instances 74 [18,11,13,22,10] number_of_instances 73 [18,11,13,21,10] number_of_instances 73 [18,10,13,21,11] number_of_instances 73 [18,10,13,21,11] number_of_instances 73 [18,10,13,21,11] precision 0.7178746928746929 [0.944444,0.636364,0.636364,0.6,0.75] precision 0.7390886422136422 [1,0.7,0.666667,0.59375,0.714286] precision 0.6262321144674086 [0.941176,0.6,0.466667,0.533333,0.5] precision 0.7430022944728828 [0.882353,0.571429,0.583333,0.692308,1] precision 0.6433826683826684 [0.875,0.777778,0.428571,0.533333,0.6] precision 0.7429689304689305 [0.875,0.625,0.611111,0.730769,0.833333] precision 0.6294520547945205 [0.933333,0.416667,0.461538,0.566667,0.666667] precision 0.6546600519563749 [0.894737,0.777778,0.642857,0.55,0.363636] precision 0.6655528609818444 [0.947368,0.6,0.636364,0.56,0.5] precision 0.6358276167093199 [0.823529,0.5,0.454545,0.548387,0.833333] predictive_accuracy 0.7027027027027027 predictive_accuracy 0.7027027027027027 predictive_accuracy 0.6216216216216216 predictive_accuracy 0.7162162162162162 predictive_accuracy 0.6216216216216216 predictive_accuracy 0.7297297297297297 predictive_accuracy 0.6027397260273972 predictive_accuracy 0.6575342465753425 predictive_accuracy 0.6712328767123288 predictive_accuracy 0.6164383561643836 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 prior_entropy 2.2628851981053564 recall 0.7027027027027027 [0.944444,0.636364,0.538462,0.857143,0.272727] recall 0.7027027027027027 [0.722222,0.636364,0.615385,0.904762,0.454545] recall 0.6216216216216216 [0.888889,0.545455,0.538462,0.727273,0.1] recall 0.7162162162162162 [0.833333,0.727273,0.538462,0.818182,0.5] recall 0.6216216216216216 [0.777778,0.636364,0.461538,0.727273,0.3] recall 0.7297297297297297 [0.777778,0.454545,0.846154,0.863636,0.5] recall 0.6027397260273972 [0.777778,0.454545,0.461538,0.809524,0.2] recall 0.6575342465753424 [0.944444,0.7,0.692308,0.52381,0.363636] recall 0.6712328767123288 [1,0.6,0.538462,0.666667,0.363636] recall 0.6164383561643836 [0.777778,0.4,0.384615,0.809524,0.454545] relative_absolute_error 0.5797435001114385 relative_absolute_error 0.6112532620803156 relative_absolute_error 0.6285016734127208 relative_absolute_error 0.5914974715711608 relative_absolute_error 0.6417051146715997 relative_absolute_error 0.6180570148952456 relative_absolute_error 0.6756116480790045 relative_absolute_error 0.6416519543754668 relative_absolute_error 0.6067740240791635 relative_absolute_error 0.6493961703249619 root_mean_prior_squared_error 0.39631483628344655 root_mean_prior_squared_error 0.39631483628344655 root_mean_prior_squared_error 0.395310412647401 root_mean_prior_squared_error 0.395310412647401 root_mean_prior_squared_error 0.395310412647401 root_mean_prior_squared_error 0.395310412647401 root_mean_prior_squared_error 0.3958119963352585 root_mean_prior_squared_error 0.3958306781784102 root_mean_prior_squared_error 0.3958306781784102 root_mean_prior_squared_error 0.3958306781784102 root_mean_squared_error 0.2895478317895057 root_mean_squared_error 0.29325556597181357 root_mean_squared_error 0.3142302278505194 root_mean_squared_error 0.2923296653095569 root_mean_squared_error 0.3056418119581958 root_mean_squared_error 0.30146790701848286 root_mean_squared_error 0.32452940752133097 root_mean_squared_error 0.30729980334799273 root_mean_squared_error 0.29941531976884744 root_mean_squared_error 0.31281979183614833 root_relative_squared_error 0.7306005359396122 root_relative_squared_error 0.7399560630177255 root_relative_squared_error 0.7948948922091726 root_relative_squared_error 0.739493967163222 root_relative_squared_error 0.7731691404516947 root_relative_squared_error 0.7626105899906527 root_relative_squared_error 0.819907962684511 root_relative_squared_error 0.7763415528128556 root_relative_squared_error 0.7564227238442947 root_relative_squared_error 0.7902868804301042 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 58.945628000060424 usercpu_time_millis 54.417628000010154 usercpu_time_millis 54.646510999987186 usercpu_time_millis 52.60320399997909 usercpu_time_millis 54.11467100009304 usercpu_time_millis 54.23132899989014 usercpu_time_millis 53.076560000022255 usercpu_time_millis 53.36425500001951 usercpu_time_millis 50.14935500003048 usercpu_time_millis 57.86891400009608 usercpu_time_millis_testing 4.995460000031926 usercpu_time_millis_testing 7.025795999993534 usercpu_time_millis_testing 5.61659499999223 usercpu_time_millis_testing 6.362145000025521 usercpu_time_millis_testing 5.625790000067354 usercpu_time_millis_testing 5.3850869999223505 usercpu_time_millis_testing 5.17053200007922 usercpu_time_millis_testing 5.318090000059783 usercpu_time_millis_testing 6.2326940000048126 usercpu_time_millis_testing 5.386908000104995 usercpu_time_millis_training 53.9501680000285 usercpu_time_millis_training 47.39183200001662 usercpu_time_millis_training 49.029915999994955 usercpu_time_millis_training 46.241058999953566 usercpu_time_millis_training 48.488881000025685 usercpu_time_millis_training 48.84624199996779 usercpu_time_millis_training 47.906027999943035 usercpu_time_millis_training 48.04616499995973 usercpu_time_millis_training 43.91666100002567 usercpu_time_millis_training 52.48200599999109