8911892 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6849104 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap true 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.15242661730936846 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 4 7684 min_samples_split 20 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18739460 description https://api.openml.org/data/download/18739460/description.xml -1 18739461 predictions https://api.openml.org/data/download/18739461/predictions.arff area_under_roc_curve 0.9826283333333332 [1,0.976592,0.99725,0.994311,0.979567,0.993242,0.946833,0.992972,0.9993,0.946217] average_cost 0 f_measure 0.8328706082525293 [1,0.792839,0.947891,0.912281,0.817708,0.912621,0.530184,0.88993,0.979798,0.545455] kappa 0.8161111111111111 kb_relative_information_score 1489.4453306791586 mean_absolute_error 0.07616282659029251 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8328074468267151 [1,0.811518,0.940887,0.914573,0.853261,0.886792,0.558011,0.837004,0.989796,0.536232] predictive_accuracy 0.8345 prior_entropy 3.321928094887362 recall 0.8345 [1,0.775,0.955,0.91,0.785,0.94,0.505,0.95,0.97,0.555] relative_absolute_error 0.4231268143905009 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16779824373712285 root_relative_squared_error 0.5593274791237343 total_cost 0 area_under_roc_curve 0.980611111111111 [1,0.979722,0.994444,0.995278,0.969444,1,0.916111,0.993889,0.999722,0.9575] area_under_roc_curve 0.9805000000000001 [1,0.972778,0.9975,0.989722,0.9625,0.992778,0.949167,0.990833,0.998889,0.950833] area_under_roc_curve 0.9801666666666665 [1,0.975556,1,0.986667,0.986667,0.994444,0.923611,0.990833,1,0.943889] area_under_roc_curve 0.9881944444444444 [1,0.986111,0.995556,0.996944,0.994722,0.995,0.974722,0.996111,0.998889,0.943889] area_under_roc_curve 0.9828055555555557 [1,0.968889,0.998056,0.993333,0.991944,0.991111,0.951389,0.993889,1,0.939444] area_under_roc_curve 0.985 [1,0.981111,1,0.994167,0.990833,0.993056,0.95,0.994167,1,0.946667] area_under_roc_curve 0.9829166666666665 [1,0.976667,0.997778,0.998889,0.981667,0.979167,0.971389,0.989444,1,0.934167] area_under_roc_curve 0.9859444444444443 [1,0.970833,0.998611,0.996667,0.984444,0.9975,0.955833,0.995556,0.998333,0.961667] area_under_roc_curve 0.983611111111111 [1,0.982222,1,0.997778,0.986667,0.987778,0.950556,0.997222,1,0.933889] area_under_roc_curve 0.9786666666666666 [1,0.979167,0.991389,0.998889,0.9525,0.999722,0.929722,0.993333,0.997778,0.944167] 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 0.8205324286325569 [1,0.829268,0.904762,0.947368,0.829268,0.97561,0.342857,0.9,1,0.47619] f_measure 0.8216492441998411 [1,0.871795,0.926829,0.923077,0.685714,0.857143,0.545455,0.818182,0.95,0.638298] f_measure 0.8234423300276958 [1,0.714286,0.974359,0.8,0.829268,0.878049,0.5,0.871795,1,0.666667] f_measure 0.8695763728188239 [1,0.789474,0.974359,0.926829,0.826087,0.923077,0.75,0.9,0.974359,0.631579] f_measure 0.7942847660859684 [1,0.647059,0.947368,0.904762,0.777778,0.869565,0.5,0.808511,1,0.487805] f_measure 0.8526775028817002 [1,0.878049,1,0.864865,0.85,0.926829,0.604651,0.952381,0.95,0.5] f_measure 0.83812814556717 [1,0.780488,0.923077,0.95,0.857143,0.904762,0.564103,0.888889,1,0.512821] f_measure 0.8432477082977128 [1,0.769231,0.97561,0.930233,0.842105,0.894737,0.564103,0.909091,0.947368,0.6] f_measure 0.85326566117831 [1,0.833333,0.97561,0.952381,0.864865,0.926829,0.512821,0.930233,1,0.536585] f_measure 0.8063328942625596 [1,0.8,0.883721,0.918919,0.8,0.97561,0.390244,0.930233,0.974359,0.390244] kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.8555555555555555 kappa 0.7777777777777778 kappa 0.8388888888888889 kappa 0.8222222222222222 kappa 0.8277777777777777 kappa 0.8388888888888889 kappa 0.7833333333333334 kb_relative_information_score 147.72230690080906 kb_relative_information_score 149.24295105688577 kb_relative_information_score 146.34160624137346 kb_relative_information_score 150.3518934954056 kb_relative_information_score 146.38600686580423 kb_relative_information_score 151.65591809494717 kb_relative_information_score 149.73182111900394 kb_relative_information_score 150.91228880674228 kb_relative_information_score 151.96253966171736 kb_relative_information_score 145.1379984364697 mean_absolute_error 0.0781671673280245 mean_absolute_error 0.0755131781623763 mean_absolute_error 0.07887804839575463 mean_absolute_error 0.0752481831434955 mean_absolute_error 0.07811046040883504 mean_absolute_error 0.07339836382197436 mean_absolute_error 0.07531217596201711 mean_absolute_error 0.07520377247691032 mean_absolute_error 0.07326517137177811 mean_absolute_error 0.07853174483175915 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.818961038961039 [1,0.809524,0.863636,1,0.809524,0.952381,0.4,0.9,1,0.454545] precision 0.8312912233964866 [1,0.894737,0.904762,0.947368,0.8,0.818182,0.692308,0.75,0.95,0.555556] precision 0.8242085326953748 [1,0.681818,1,0.8,0.809524,0.857143,0.5625,0.894737,1,0.636364] precision 0.8732899556583767 [1,0.833333,1,0.904762,0.730769,0.947368,0.75,0.9,1,0.666667] precision 0.8035975598475598 [1,0.785714,1,0.863636,0.875,0.769231,0.5625,0.703704,1,0.47619] precision 0.8539889532888253 [1,0.857143,1,0.941176,0.85,0.904762,0.565217,0.909091,0.95,0.5625] precision 0.8428172704488494 [1,0.761905,0.947368,0.95,1,0.863636,0.578947,0.8,1,0.526316] precision 0.8457033889070502 [1,0.789474,0.952381,0.869565,0.888889,0.944444,0.578947,0.833333,1,0.6] precision 0.8564600767496513 [1,0.9375,0.952381,0.909091,0.941176,0.904762,0.526316,0.869565,1,0.52381] precision 0.8143271221532092 [1,0.8,0.826087,1,0.933333,0.952381,0.380952,0.869565,1,0.380952] predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.87 predictive_accuracy 0.8 predictive_accuracy 0.855 predictive_accuracy 0.84 predictive_accuracy 0.845 predictive_accuracy 0.855 predictive_accuracy 0.805 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.825 [1,0.85,0.95,0.9,0.85,1,0.3,0.9,1,0.5] recall 0.825 [1,0.85,0.95,0.9,0.6,0.9,0.45,0.9,0.95,0.75] recall 0.825 [1,0.75,0.95,0.8,0.85,0.9,0.45,0.85,1,0.7] recall 0.87 [1,0.75,0.95,0.95,0.95,0.9,0.75,0.9,0.95,0.6] recall 0.8 [1,0.55,0.9,0.95,0.7,1,0.45,0.95,1,0.5] recall 0.855 [1,0.9,1,0.8,0.85,0.95,0.65,1,0.95,0.45] recall 0.84 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.5] recall 0.845 [1,0.75,1,1,0.8,0.85,0.55,1,0.9,0.6] recall 0.855 [1,0.75,1,1,0.8,0.95,0.5,1,1,0.55] recall 0.805 [1,0.8,0.95,0.85,0.7,1,0.4,1,0.95,0.4] relative_absolute_error 0.43426204071124774 relative_absolute_error 0.41951765645764655 relative_absolute_error 0.43821137997641507 relative_absolute_error 0.4180454619083088 relative_absolute_error 0.4339470022713063 relative_absolute_error 0.407768687899858 relative_absolute_error 0.4184009775667622 relative_absolute_error 0.41779873598283557 relative_absolute_error 0.4070287298432122 relative_absolute_error 0.4362874712875513 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.17076868269680823 root_mean_squared_error 0.17000687275543488 root_mean_squared_error 0.17163243014305274 root_mean_squared_error 0.16370392449179702 root_mean_squared_error 0.17313908945425294 root_mean_squared_error 0.16125351055693432 root_mean_squared_error 0.16651331324078703 root_mean_squared_error 0.16527389173921514 root_mean_squared_error 0.16060305910979883 root_mean_squared_error 0.1744311782086505 root_relative_squared_error 0.5692289423226944 root_relative_squared_error 0.56668957585145 root_relative_squared_error 0.5721081004768428 root_relative_squared_error 0.5456797483059903 root_relative_squared_error 0.5771302981808435 root_relative_squared_error 0.537511701856448 root_relative_squared_error 0.5550443774692905 root_relative_squared_error 0.5509129724640508 root_relative_squared_error 0.5353435303659964 root_relative_squared_error 0.5814372606955021 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 34091.072917999554 usercpu_time_millis 34369.49610099964 usercpu_time_millis 33953.51268200011 usercpu_time_millis 33969.98471200004 usercpu_time_millis 34135.46397099981 usercpu_time_millis 34391.005042999495 usercpu_time_millis 34247.870238999894 usercpu_time_millis 34043.49737699977 usercpu_time_millis 33925.0295640004 usercpu_time_millis 34067.74309800039 usercpu_time_millis_testing 90.19228199940699 usercpu_time_millis_testing 91.58857700003864 usercpu_time_millis_testing 94.50019300038548 usercpu_time_millis_testing 98.72159200040187 usercpu_time_millis_testing 89.58931399956782 usercpu_time_millis_testing 90.01016900037939 usercpu_time_millis_testing 89.36911000000691 usercpu_time_millis_testing 93.47359200000938 usercpu_time_millis_testing 91.14004799994291 usercpu_time_millis_testing 92.76054099973408 usercpu_time_millis_training 34000.88063600015 usercpu_time_millis_training 34277.9075239996 usercpu_time_millis_training 33859.012488999724 usercpu_time_millis_training 33871.26311999964 usercpu_time_millis_training 34045.87465700024 usercpu_time_millis_training 34300.994873999116 usercpu_time_millis_training 34158.50112899989 usercpu_time_millis_training 33950.02378499976 usercpu_time_millis_training 33833.889516000454 usercpu_time_millis_training 33974.98255700066