10586483 28997 Marc Boel 9985 Supervised Classification 19039 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(2) 8302765 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "most_frequent" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 memory null 19039 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}] 19039 verbose false 19039 ccp_alpha 0.0 19040 criterion "friedman_mse" 19040 init null 19040 learning_rate 0.7945172854671253 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 86 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 38 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 14 19040 random_state 48265 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.14555042582441097 19040 verbose 0 19040 warm_start false 19040 openml-python Sklearn_1.0.1. 1475 first-order-theorem-proving https://www.openml.org/data/download/1587932/phpPbCMyg -1 22099236 description https://api.openml.org/data/download/22099236/description.xml -1 22099237 predictions https://api.openml.org/data/download/22099237/predictions.arff area_under_roc_curve 0.8283354404640196 [0.763791,0.773688,0.817029,0.780335,0.804159,0.887069] average_cost 0 f_measure 0.557051705485213 [0.436898,0.342649,0.435393,0.394737,0.381201,0.76689] kappa 0.41159040023989346 kb_relative_information_score 0.3857790762201461 mean_absolute_error 0.17442883513717822 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5701209545603139 [0.437098,0.290123,0.414439,0.364668,0.350962,0.828896] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5508299085374578 [0.436697,0.418398,0.45858,0.43021,0.417143,0.713515] predictive_accuracy 0.5701209545603139 prior_entropy 2.3000072984859514 relative_absolute_error 0.6955880274096028 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.31048501933035866 root_relative_squared_error 0.8768907254457815 total_cost 0 unweighted_recall 0.4476975583361398 [0.437098,0.290123,0.414439,0.364668,0.350962,0.828896] area_under_roc_curve 0.8353980638418067 [0.767678,0.768543,0.816839,0.765381,0.839651,0.898042] area_under_roc_curve 0.8523161534522746 [0.804941,0.787049,0.859665,0.836496,0.825614,0.893135] area_under_roc_curve 0.8132057155052572 [0.712219,0.791315,0.809236,0.727522,0.791222,0.887615] area_under_roc_curve 0.8311917694772849 [0.777628,0.832838,0.81023,0.782375,0.763167,0.888345] area_under_roc_curve 0.8003116617836142 [0.714529,0.720412,0.785363,0.744223,0.796848,0.871209] area_under_roc_curve 0.8285059822704248 [0.774117,0.684562,0.835531,0.803416,0.812727,0.887285] area_under_roc_curve 0.8200996158762272 [0.778047,0.74256,0.790279,0.797097,0.789677,0.874735] area_under_roc_curve 0.8456271172154506 [0.756425,0.836445,0.841986,0.807994,0.808798,0.904319] area_under_roc_curve 0.8362323846894169 [0.785656,0.800196,0.808905,0.787064,0.797329,0.893667] area_under_roc_curve 0.8231605141095961 [0.768915,0.787855,0.806331,0.743368,0.820878,0.877316] 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 0.5593683001059662 [0.470046,0.275,0.363636,0.357143,0.410714,0.792857] f_measure 0.5808945964591667 [0.455814,0.35443,0.544218,0.413223,0.431034,0.765568] f_measure 0.5490477835332161 [0.394231,0.296296,0.514286,0.4,0.322034,0.765734] f_measure 0.5660010890842128 [0.470046,0.404494,0.456376,0.325203,0.375,0.775281] f_measure 0.5353897150517615 [0.356808,0.348837,0.356164,0.467742,0.37037,0.756856] f_measure 0.5650642460525952 [0.456621,0.26506,0.475524,0.428571,0.417391,0.764493] f_measure 0.5317554265924272 [0.450216,0.325,0.342857,0.339623,0.333333,0.756856] f_measure 0.586567491005911 [0.39819,0.463415,0.507463,0.436975,0.479339,0.775137] f_measure 0.547383862891346 [0.44843,0.37037,0.378788,0.422018,0.283186,0.765957] f_measure 0.5467851027822406 [0.465116,0.317073,0.413333,0.348624,0.385965,0.75] kappa 0.41750484163178603 kappa 0.4434339759912696 kappa 0.4023415392013613 kappa 0.42383898136959614 kappa 0.3833562495907812 kappa 0.4230360255346827 kappa 0.37921975568107175 kappa 0.44728734677824633 kappa 0.39827025746210637 kappa 0.39705569454940315 kb_relative_information_score 0.390077914811621 kb_relative_information_score 0.4249828993473326 kb_relative_information_score 0.35229013695455064 kb_relative_information_score 0.39006216666893634 kb_relative_information_score 0.37288330430128025 kb_relative_information_score 0.4024936991466203 kb_relative_information_score 0.3745496980684598 kb_relative_information_score 0.42150362454339435 kb_relative_information_score 0.3764342532672049 kb_relative_information_score 0.3524340239038591 mean_absolute_error 0.17450176206009385 mean_absolute_error 0.16519706063908562 mean_absolute_error 0.18028500060030556 mean_absolute_error 0.17368891807296127 mean_absolute_error 0.17605727699598178 mean_absolute_error 0.16977856536081581 mean_absolute_error 0.17736856454103755 mean_absolute_error 0.16615330139456694 mean_absolute_error 0.17633380748940264 mean_absolute_error 0.18494438919532566 mean_prior_absolute_error 0.25067495791407446 mean_prior_absolute_error 0.25083558171073006 mean_prior_absolute_error 0.25088921191526126 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25084785528987646 mean_prior_absolute_error 0.25067558048692967 mean_prior_absolute_error 0.25058368192114683 mean_prior_absolute_error 0.25059472840439195 number_of_instances 612 [109,48,74,62,63,256] number_of_instances 612 [109,48,75,62,63,255] number_of_instances 612 [108,49,75,62,63,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,62,62,255] number_of_instances 612 [109,49,75,61,62,256] number_of_instances 611 [109,48,75,61,62,256] number_of_instances 611 [109,48,74,61,63,256] precision 0.5509396686041143 [0.472222,0.34375,0.376812,0.4,0.469388,0.730263] precision 0.5765741436993401 [0.462264,0.451613,0.555556,0.423729,0.471698,0.718213] precision 0.543142745259088 [0.41,0.375,0.553846,0.488372,0.345455,0.690852] precision 0.5613449328778389 [0.472222,0.45,0.459459,0.327869,0.42,0.741935] precision 0.5292216443766637 [0.365385,0.405405,0.366197,0.467742,0.434783,0.708904] precision 0.5586527509504159 [0.454545,0.323529,0.5,0.48,0.45283,0.710438] precision 0.5264921663990098 [0.42623,0.419355,0.369231,0.409091,0.344828,0.708904] precision 0.5859068804527 [0.392857,0.575758,0.576271,0.448276,0.491525,0.728522] precision 0.5412971371447427 [0.438596,0.454545,0.438596,0.479167,0.313725,0.701299] precision 0.5405917790360142 [0.471698,0.382353,0.407895,0.395833,0.431373,0.699324] predictive_accuracy 0.576797385620915 predictive_accuracy 0.5915032679738562 predictive_accuracy 0.5686274509803921 predictive_accuracy 0.5735294117647058 predictive_accuracy 0.5473856209150327 predictive_accuracy 0.5784313725490197 predictive_accuracy 0.545751633986928 predictive_accuracy 0.5947712418300654 predictive_accuracy 0.5646481178396072 predictive_accuracy 0.5597381342062193 prior_entropy 2.2982053906988225 prior_entropy 2.3010980143383097 prior_entropy 2.3029972536480843 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.301686142471426 prior_entropy 2.2983403180467192 prior_entropy 2.2961240491639523 prior_entropy 2.2965513970017746 relative_absolute_error 0.6961276208527738 relative_absolute_error 0.6585870294494146 relative_absolute_error 0.7185841081967186 relative_absolute_error 0.6924074270926042 relative_absolute_error 0.7018488429671137 relative_absolute_error 0.6768188835604033 relative_absolute_error 0.707076264758464 relative_absolute_error 0.6628220470131921 relative_absolute_error 0.7036923000632221 relative_absolute_error 0.7380218665129921 root_mean_prior_squared_error 0.35394835494159665 root_mean_prior_squared_error 0.3541751851309153 root_mean_prior_squared_error 0.3542508884492025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3541925116962025 root_mean_prior_squared_error 0.3539492344090008 root_mean_prior_squared_error 0.3538193917423618 root_mean_prior_squared_error 0.35383500173976573 root_mean_squared_error 0.30822552862148944 root_mean_squared_error 0.3010069015931785 root_mean_squared_error 0.3145478519307514 root_mean_squared_error 0.3100207124145448 root_mean_squared_error 0.32115406795729334 root_mean_squared_error 0.31029764590154946 root_mean_squared_error 0.3135125710550081 root_mean_squared_error 0.30379808350805554 root_mean_squared_error 0.3108023493509655 root_mean_squared_error 0.3110352972833951 root_relative_squared_error 0.8708206276939705 root_relative_squared_error 0.8498813983309306 root_relative_squared_error 0.887923960636321 root_relative_squared_error 0.8752887262632342 root_relative_squared_error 0.906721789287158 root_relative_squared_error 0.8760705990523523 root_relative_squared_error 0.8851473724094814 root_relative_squared_error 0.8583097630238301 root_relative_squared_error 0.8784209023152701 root_relative_squared_error 0.8790405012338252 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 0.4338759060859257 [0.46789,0.229167,0.351351,0.322581,0.365079,0.867188] unweighted_recall 0.48236672180298906 [0.449541,0.291667,0.533333,0.403226,0.396825,0.819608] unweighted_recall 0.4339413495386207 [0.37963,0.244898,0.48,0.33871,0.301587,0.858824] unweighted_recall 0.4602708681381204 [0.46789,0.367347,0.453333,0.322581,0.33871,0.811765] unweighted_recall 0.433916709230797 [0.348624,0.306122,0.346667,0.467742,0.322581,0.811765] unweighted_recall 0.45636387572687154 [0.458716,0.22449,0.453333,0.387097,0.387097,0.827451] unweighted_recall 0.4145063790535451 [0.477064,0.265306,0.32,0.290323,0.322581,0.811765] unweighted_recall 0.49447576730423065 [0.40367,0.387755,0.453333,0.42623,0.467742,0.828125] unweighted_recall 0.43056877102008495 [0.458716,0.3125,0.333333,0.377049,0.258065,0.84375] unweighted_recall 0.4362905596041571 [0.458716,0.270833,0.418919,0.311475,0.349206,0.808594] usercpu_time_millis 11815.005711003323 usercpu_time_millis 14929.488845005835 usercpu_time_millis 7000.04077199992 usercpu_time_millis 12161.65421900223 usercpu_time_millis 15538.004584996088 usercpu_time_millis 17257.645867000974 usercpu_time_millis 11421.95142700075 usercpu_time_millis 16927.700226002344 usercpu_time_millis 13535.795132000203 usercpu_time_millis 5386.29488800143 usercpu_time_millis_testing 11.215057002118556 usercpu_time_millis_testing 11.921005003387108 usercpu_time_millis_testing 9.943387998646358 usercpu_time_millis_testing 11.872160001075827 usercpu_time_millis_testing 11.907652999070706 usercpu_time_millis_testing 12.588560999574838 usercpu_time_millis_testing 11.001334001775831 usercpu_time_millis_testing 12.479226999857929 usercpu_time_millis_testing 11.669708997942507 usercpu_time_millis_testing 6.399206002242863 usercpu_time_millis_training 11803.790654001205 usercpu_time_millis_training 14917.567840002448 usercpu_time_millis_training 6990.097384001274 usercpu_time_millis_training 12149.782059001154 usercpu_time_millis_training 15526.096931997017 usercpu_time_millis_training 17245.0573060014 usercpu_time_millis_training 11410.950092998974 usercpu_time_millis_training 16915.220999002486 usercpu_time_millis_training 13524.12542300226 usercpu_time_millis_training 5379.895681999187 wall_clock_time_millis 12047.897100448608 wall_clock_time_millis 15219.572067260742 wall_clock_time_millis 7140.164852142334 wall_clock_time_millis 12413.655042648315 wall_clock_time_millis 15858.898878097534 wall_clock_time_millis 17580.5926322937 wall_clock_time_millis 11616.288185119629 wall_clock_time_millis 17253.957509994507 wall_clock_time_millis 13811.367511749268 wall_clock_time_millis 5433.230400085449 wall_clock_time_millis_testing 11.220693588256836 wall_clock_time_millis_testing 11.925220489501953 wall_clock_time_millis_testing 9.965181350708008 wall_clock_time_millis_testing 11.91258430480957 wall_clock_time_millis_testing 11.912107467651367 wall_clock_time_millis_testing 12.595176696777344 wall_clock_time_millis_testing 11.007308959960938 wall_clock_time_millis_testing 16.23082160949707 wall_clock_time_millis_testing 11.779069900512695 wall_clock_time_millis_testing 6.402492523193359 wall_clock_time_millis_training 12036.676406860352 wall_clock_time_millis_training 15207.64684677124 wall_clock_time_millis_training 7130.199670791626 wall_clock_time_millis_training 12401.742458343506 wall_clock_time_millis_training 15846.986770629883 wall_clock_time_millis_training 17567.997455596924 wall_clock_time_millis_training 11605.280876159668 wall_clock_time_millis_training 17237.72668838501 wall_clock_time_millis_training 13799.588441848755 wall_clock_time_millis_training 5426.827907562256 weighted_recall 0.576797385620915 [0.46789,0.229167,0.351351,0.322581,0.365079,0.867188] weighted_recall 0.5915032679738562 [0.449541,0.291667,0.533333,0.403226,0.396825,0.819608] weighted_recall 0.5686274509803921 [0.37963,0.244898,0.48,0.33871,0.301587,0.858824] weighted_recall 0.5735294117647058 [0.46789,0.367347,0.453333,0.322581,0.33871,0.811765] weighted_recall 0.5473856209150327 [0.348624,0.306122,0.346667,0.467742,0.322581,0.811765] weighted_recall 0.5784313725490197 [0.458716,0.22449,0.453333,0.387097,0.387097,0.827451] weighted_recall 0.545751633986928 [0.477064,0.265306,0.32,0.290323,0.322581,0.811765] weighted_recall 0.5947712418300654 [0.40367,0.387755,0.453333,0.42623,0.467742,0.828125] weighted_recall 0.5646481178396072 [0.458716,0.3125,0.333333,0.377049,0.258065,0.84375] weighted_recall 0.5597381342062193 [0.458716,0.270833,0.418919,0.311475,0.349206,0.808594]