10437828 11497 Fares Gaaloul 2073 Supervised Classification predictive_accuracy 17593 sklearn.pipeline.Pipeline(Imputer=sklearn.impute.SimpleImputer,fs=sklearn.feature_selection.univariate_selection.SelectPercentile,rf=sklearn.ensemble.forest.RandomForestClassifier)(2) 8260898 copy true 17467 fill_value null 17467 missing_values NaN 17467 strategy "constant" 17467 verbose 0 17467 bootstrap true 17478 class_weight null 17478 criterion "gini" 17478 max_depth null 17478 max_features "auto" 17478 max_leaf_nodes null 17478 min_impurity_decrease 0.0 17478 min_impurity_split null 17478 min_samples_leaf 1 17478 min_samples_split 2 17478 min_weight_fraction_leaf 0.0 17478 n_estimators 100 17478 n_jobs null 17478 oob_score false 17478 random_state 31461 17478 verbose 0 17478 warm_start false 17478 memory null 17593 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "fs", "step_name": "fs"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "rf", "step_name": "rf"}}] 17593 percentile 80 17594 score_func {"oml-python:serialized_object": "function", "value": "sklearn.feature_selection.univariate_selection.f_classif"} 17594 openml-python Sklearn_0.20.3. 181 yeast https://www.openml.org/data/download/3616/dataset_185_yeast.arff -1 21800009 description https://api.openml.org/data/download/21800009/description.xml -1 21800010 predictions https://api.openml.org/data/download/21800010/predictions.arff area_under_roc_curve 0.8205727754841885 [0.788442,0.755139,0.839212,0.971701,0.924312,0.991564,0.901223,0.696057,0.869331,0.998445] average_cost 0 f_measure 0.5710774753568699 [0.575851,0.512702,0.609071,0.789625,0.43956,0.711111,0.450704,0,0.5625,0.571429] kappa 0.4507742797126477 kb_relative_information_score 0.4617873818239934 mean_absolute_error 0.1065726864330639 mean_prior_absolute_error 0.1555196527349269 weighted_recall 0.578167115902965 [0.602592,0.517483,0.577869,0.840491,0.392157,0.727273,0.457143,0,0.45,0.4] number_of_instances 1484 [463,429,244,163,51,44,35,30,20,5] precision 0.5682956284777079 [0.551383,0.508009,0.643836,0.744565,0.5,0.695652,0.444444,0,0.75,1] predictive_accuracy 0.578167115902965 prior_entropy 2.490551390826767 relative_absolute_error 0.6852682896271 root_mean_prior_squared_error 0.27870754832695444 root_mean_squared_error 0.23562141034226947 root_relative_squared_error 0.8454073517444164 total_cost 0 unweighted_recall 0.4965006407304816 [0.602592,0.517483,0.577869,0.840491,0.392157,0.727273,0.457143,0,0.45,0.4] area_under_roc_curve 0.845806499104829 [0.832916,0.787078,0.871833,0.979793,0.933333,1,0.840517,0.479452,0.982993,1] area_under_roc_curve 0.7711926308559872 [0.76116,0.712484,0.677167,0.962876,0.960417,1,0.7,0.745434,1,1] area_under_roc_curve 0.8101445898056475 [0.774377,0.726744,0.825484,0.987077,0.951389,0.998276,0.909483,0.738584,0.903061,1] area_under_roc_curve 0.8311563401065849 [0.790946,0.782251,0.830645,0.984492,0.94375,0.984483,0.965517,0.810502,0.676871,1] area_under_roc_curve 0.8504208151000404 [0.84335,0.78062,0.891382,0.990294,0.805751,0.993056,0.945977,0.575862,1,0.0] area_under_roc_curve 0.8265239621704105 [0.826513,0.719158,0.822114,0.983665,0.928671,0.971329,0.971264,0.94023,0.928082,0.0] area_under_roc_curve 0.8106190919423921 [0.817455,0.720044,0.864247,0.934441,0.926573,1,0.997701,0.464368,0.380137,0.0] area_under_roc_curve 0.8305725596937996 [0.7435,0.767996,0.956317,0.946116,0.982517,0.988811,0.801149,0.841379,0.940068,0.0] area_under_roc_curve 0.7964635649987488 [0.717604,0.75515,0.829133,0.984733,0.908392,0.997203,0.988506,0.428736,0.988014,0.0] area_under_roc_curve 0.8419036987409108 [0.784706,0.815476,0.826949,0.977036,0.928671,1,0.942708,0.914943,0.916096,1] 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 0.5097850518726534 [0.505263,0.428571,0.538462,0.848485,0.25,0.75,0.25,0,0.5,1] f_measure 0.6209520522407675 [0.659574,0.556962,0.64,0.777778,0.5,0.666667,0.5,0,1,0.0] kappa 0.5092919313102799 kappa 0.3475496370943555 kappa 0.37562565475497617 kappa 0.4566841145680175 kappa 0.5246715328467153 kappa 0.4472373725397202 kappa 0.4382794144225556 kappa 0.477532459761862 kappa 0.44766458685637645 kappa 0.48085612366230673 kb_relative_information_score 0.5033375081915261 kb_relative_information_score 0.41884213036784923 kb_relative_information_score 0.44760438059271496 kb_relative_information_score 0.4560187316558103 kb_relative_information_score 0.49009081207094396 kb_relative_information_score 0.453609671973236 kb_relative_information_score 0.4318730144770849 kb_relative_information_score 0.49324282526300756 kb_relative_information_score 0.4536035400845926 kb_relative_information_score 0.47003228520355195 mean_absolute_error 0.10102013422818786 mean_absolute_error 0.11320357941834452 mean_absolute_error 0.11003355704697977 mean_absolute_error 0.10833557046979865 mean_absolute_error 0.10204054054054053 mean_absolute_error 0.10766666666666667 mean_absolute_error 0.10812162162162155 mean_absolute_error 0.10143243243243237 mean_absolute_error 0.10852522522522517 mean_absolute_error 0.10530495495495491 mean_prior_absolute_error 0.15550254710115635 mean_prior_absolute_error 0.15550254710115635 mean_prior_absolute_error 0.15569930729629933 mean_prior_absolute_error 0.15569930729629933 mean_prior_absolute_error 0.1553909331017765 mean_prior_absolute_error 0.15539726473461418 mean_prior_absolute_error 0.15547053077173564 mean_prior_absolute_error 0.15547053077173564 mean_prior_absolute_error 0.15547053077173564 mean_prior_absolute_error 0.1555908317956511 number_of_instances 149 [47,43,24,16,5,4,4,3,2,1] number_of_instances 149 [47,43,24,16,5,4,4,3,2,1] number_of_instances 149 [46,43,25,16,5,4,4,3,2,1] number_of_instances 149 [46,43,25,16,5,4,4,3,2,1] number_of_instances 148 [46,43,25,16,6,4,3,3,2,0] number_of_instances 148 [46,43,25,16,5,5,3,3,2,0] number_of_instances 148 [46,43,24,17,5,5,3,3,2,0] number_of_instances 148 [46,43,24,17,5,5,3,3,2,0] number_of_instances 148 [46,43,24,17,5,5,3,3,2,0] number_of_instances 148 [47,42,24,16,5,4,4,3,2,1] precision 0.5047970553238301 [0.489796,0.439024,0.518519,0.823529,0.333333,0.75,0.25,0,0.5,1] precision 0.6201764264264266 [0.645833,0.611111,0.64,0.7,0.5,0.6,0.4,0,1,0.0] predictive_accuracy 0.6241610738255033 predictive_accuracy 0.5100671140939598 predictive_accuracy 0.5167785234899329 predictive_accuracy 0.5838926174496644 predictive_accuracy 0.6283783783783784 predictive_accuracy 0.5743243243243243 predictive_accuracy 0.5743243243243243 predictive_accuracy 0.6013513513513513 predictive_accuracy 0.5675675675675675 predictive_accuracy 0.6013513513513513 prior_entropy 2.5041655121682567 prior_entropy 2.5041655121682567 prior_entropy 2.5103490226120484 prior_entropy 2.5103490226120484 prior_entropy 2.4699424845974893 prior_entropy 2.4713518536637826 prior_entropy 2.4752645964636777 prior_entropy 2.4752645964636777 prior_entropy 2.4752645964636777 prior_entropy 2.5089452008775033 relative_absolute_error 0.649636524361707 relative_absolute_error 0.7279853708422164 relative_absolute_error 0.7067055015060756 relative_absolute_error 0.6957999515285807 relative_absolute_error 0.6566698487723667 relative_absolute_error 0.6928478879633994 relative_absolute_error 0.6954476908576807 relative_absolute_error 0.6524222431668231 relative_absolute_error 0.6980437044018565 relative_absolute_error 0.6768069412551228 root_mean_prior_squared_error 0.2786768592126898 root_mean_prior_squared_error 0.2786768592126898 root_mean_prior_squared_error 0.2790296616057016 root_mean_prior_squared_error 0.2790296616057016 root_mean_prior_squared_error 0.2784765301803179 root_mean_prior_squared_error 0.2784878982902258 root_mean_prior_squared_error 0.27861940982499517 root_mean_prior_squared_error 0.27861940982499517 root_mean_prior_squared_error 0.27861940982499517 root_mean_prior_squared_error 0.27883521397976996 root_mean_squared_error 0.22447128334595465 root_mean_squared_error 0.24843380577900506 root_mean_squared_error 0.24051308410180322 root_mean_squared_error 0.23820215879873094 root_mean_squared_error 0.22276578416488155 root_mean_squared_error 0.2394727143766716 root_mean_squared_error 0.23818797936401723 root_mean_squared_error 0.22837566188835212 root_mean_squared_error 0.2423671228162397 root_mean_squared_error 0.23204992893668275 root_relative_squared_error 0.8054894976932233 root_relative_squared_error 0.8914762656679619 root_relative_squared_error 0.8619624262085571 root_relative_squared_error 0.8536804203107832 root_relative_squared_error 0.7999445555452632 root_relative_squared_error 0.8599034853827129 root_relative_squared_error 0.8548865260809593 root_relative_squared_error 0.8196688882221024 root_relative_squared_error 0.8698859959845366 root_relative_squared_error 0.8322117053462209 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 unweighted_recall 0.512365165759525 [0.595745,0.627907,0.625,0.875,0.4,1,0.5,0,0.5,0] unweighted_recall 0.44073457859145637 [0.659574,0.418605,0.291667,0.6875,0.6,0.75,0.5,0,0.5,0] unweighted_recall 0.5075343781597573 [0.521739,0.418605,0.56,0.875,0.2,0.75,0.25,0,0.5,1] unweighted_recall 0.5189780080889788 [0.695652,0.511628,0.52,0.8125,0.4,0.5,0.25,0,0.5,1] unweighted_recall 0.4804381965552178 [0.553191,0.642857,0.583333,0.875,0.4,1,0.25,0,0.5,0] usercpu_time_millis 228.14193199999977 usercpu_time_millis 224.1105250000004 usercpu_time_millis 215.2568100000014 usercpu_time_millis 215.4889760000014 usercpu_time_millis 218.09897300000003 usercpu_time_millis 221.97914300000045 usercpu_time_millis 216.35895100000013 usercpu_time_millis 216.77988499999935 usercpu_time_millis 216.73032399999846 usercpu_time_millis 214.36261400000058 usercpu_time_millis_testing 8.900449999998727 usercpu_time_millis_testing 8.613551999999913 usercpu_time_millis_testing 8.68556700000056 usercpu_time_millis_testing 8.37325800000066 usercpu_time_millis_testing 8.231578000000184 usercpu_time_millis_testing 8.315681999999214 usercpu_time_millis_testing 8.052655000000186 usercpu_time_millis_testing 8.26826299999972 usercpu_time_millis_testing 8.672871999999998 usercpu_time_millis_testing 8.063802000000564 usercpu_time_millis_training 219.24148200000104 usercpu_time_millis_training 215.49697300000048 usercpu_time_millis_training 206.57124300000083 usercpu_time_millis_training 207.11571800000073 usercpu_time_millis_training 209.86739499999985 usercpu_time_millis_training 213.66346100000123 usercpu_time_millis_training 208.30629599999995 usercpu_time_millis_training 208.51162199999962 usercpu_time_millis_training 208.05745199999848 usercpu_time_millis_training 206.298812 wall_clock_time_millis 228.33013534545898 wall_clock_time_millis 224.83015060424805 wall_clock_time_millis 215.44122695922852 wall_clock_time_millis 215.57044982910156 wall_clock_time_millis 218.51396560668945 wall_clock_time_millis 222.08929061889648 wall_clock_time_millis 216.77231788635254 wall_clock_time_millis 216.85409545898438 wall_clock_time_millis 216.79306030273438 wall_clock_time_millis 214.4327163696289 wall_clock_time_millis_testing 8.953094482421875 wall_clock_time_millis_testing 8.71896743774414 wall_clock_time_millis_testing 8.689403533935547 wall_clock_time_millis_testing 8.376359939575195 wall_clock_time_millis_testing 8.304595947265625 wall_clock_time_millis_testing 8.319377899169922 wall_clock_time_millis_testing 8.055925369262695 wall_clock_time_millis_testing 8.27169418334961 wall_clock_time_millis_testing 8.676290512084961 wall_clock_time_millis_testing 8.067607879638672 wall_clock_time_millis_training 219.3770408630371 wall_clock_time_millis_training 216.1111831665039 wall_clock_time_millis_training 206.75182342529297 wall_clock_time_millis_training 207.19408988952637 wall_clock_time_millis_training 210.20936965942383 wall_clock_time_millis_training 213.76991271972656 wall_clock_time_millis_training 208.71639251708984 wall_clock_time_millis_training 208.58240127563477 wall_clock_time_millis_training 208.1167697906494 wall_clock_time_millis_training 206.36510848999023 weighted_recall 0.6241610738255033 [0.595745,0.627907,0.625,0.875,0.4,1,0.5,0,0.5,0] weighted_recall 0.5100671140939598 [0.659574,0.418605,0.291667,0.6875,0.6,0.75,0.5,0,0.5,0] weighted_recall 0.5167785234899329 [0.521739,0.418605,0.56,0.875,0.2,0.75,0.25,0,0.5,1] weighted_recall 0.5838926174496645 [0.695652,0.511628,0.52,0.8125,0.4,0.5,0.25,0,0.5,1] weighted_recall 0.6283783783783784 [0.673913,0.511628,0.64,0.875,0.5,0.75,0.666667,0,1,0.0] weighted_recall 0.5743243243243243 [0.608696,0.534884,0.56,0.9375,0.4,0.4,0.333333,0,0,0.0] weighted_recall 0.5743243243243243 [0.695652,0.488372,0.583333,0.764706,0.2,0.4,0.666667,0,0,0.0] weighted_recall 0.6013513513513513 [0.586957,0.511628,0.791667,0.705882,0.4,0.8,0.666667,0,0.5,0.0] weighted_recall 0.5675675675675675 [0.434783,0.511628,0.625,1,0.4,1,0.666667,0,0.5,0.0] weighted_recall 0.6013513513513513 [0.553191,0.642857,0.583333,0.875,0.4,1,0.25,0,0.5,0]