10586510 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) 8302792 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 "median" 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 0.4855929437112723 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 1251 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 68 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 8 19040 random_state 42496 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.01579262857646586 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 22099290 description https://api.openml.org/data/download/22099290/description.xml -1 22099291 predictions https://api.openml.org/data/download/22099291/predictions.arff area_under_roc_curve 0.837657650302031 [0.785203,0.798438,0.830534,0.79,0.802913,0.889575] average_cost 0 f_measure 0.5544066178464186 [0.448694,0.33877,0.423581,0.368715,0.384886,0.765108] kappa 0.4086165506094946 kb_relative_information_score 0.3668123882385602 mean_absolute_error 0.18189879650229512 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.5733899967309578 [0.44169,0.277778,0.389037,0.320908,0.350962,0.855129] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5486000189342685 [0.455924,0.434084,0.464856,0.43326,0.42607,0.692235] predictive_accuracy 0.5733899967309578 prior_entropy 2.3000072984859514 relative_absolute_error 0.7253767701177751 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.3042741900414956 root_relative_squared_error 0.8593497226222727 total_cost 0 unweighted_recall 0.43925053324834057 [0.44169,0.277778,0.389037,0.320908,0.350962,0.855129] area_under_roc_curve 0.8468101631149473 [0.805005,0.776411,0.826309,0.788768,0.824284,0.903337] area_under_roc_curve 0.8368783118213534 [0.787003,0.77763,0.889609,0.814883,0.764218,0.877141] area_under_roc_curve 0.8511798665325911 [0.78114,0.798238,0.855009,0.811628,0.821219,0.906909] area_under_roc_curve 0.8520528260932543 [0.793432,0.838873,0.853644,0.774619,0.808754,0.90853] area_under_roc_curve 0.811266419843083 [0.759516,0.765669,0.77923,0.777038,0.791745,0.86464] area_under_roc_curve 0.8395027740245521 [0.78714,0.758038,0.813904,0.798607,0.811554,0.901807] area_under_roc_curve 0.8209941778128202 [0.799259,0.798637,0.816052,0.778768,0.781598,0.85588] area_under_roc_curve 0.8479911183584735 [0.751847,0.839073,0.859168,0.801464,0.837405,0.901011] area_under_roc_curve 0.8426622089812732 [0.795058,0.848653,0.817512,0.785067,0.791659,0.895252] area_under_roc_curve 0.8299977464594147 [0.803547,0.791112,0.805061,0.775201,0.797851,0.876728] 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 0.569746742756025 [0.478469,0.345679,0.382979,0.410714,0.396694,0.785714] f_measure 0.5631685758506456 [0.472727,0.28169,0.478873,0.466019,0.357724,0.753982] f_measure 0.5514667880376499 [0.392344,0.270833,0.469697,0.367347,0.421875,0.773619] f_measure 0.5657210335882625 [0.463768,0.309524,0.486486,0.321429,0.425926,0.775221] f_measure 0.5301568517901984 [0.407767,0.372093,0.346457,0.396226,0.347107,0.743945] f_measure 0.5685863958650439 [0.433962,0.35,0.464789,0.362069,0.428571,0.782918] f_measure 0.5263598398066264 [0.488688,0.38961,0.310078,0.358491,0.326531,0.721754] f_measure 0.5649784614765017 [0.4375,0.356164,0.455882,0.363636,0.389381,0.78169] f_measure 0.5733768115070615 [0.473684,0.455696,0.442748,0.307692,0.35514,0.792321] f_measure 0.5292778921705699 [0.432692,0.257143,0.383562,0.336449,0.392523,0.743151] kappa 0.42959886101774525 kappa 0.41949627967402864 kappa 0.4052827089009574 kappa 0.4255530606986418 kappa 0.3755264241745113 kappa 0.42858403176003534 kappa 0.3690341807016752 kappa 0.4225026365940756 kappa 0.4348015830091347 kappa 0.37433233308327085 kb_relative_information_score 0.38040405539794897 kb_relative_information_score 0.3647515621094856 kb_relative_information_score 0.39473817916421355 kb_relative_information_score 0.3923383842709711 kb_relative_information_score 0.3352163766556318 kb_relative_information_score 0.38022811979398774 kb_relative_information_score 0.3386945590715415 kb_relative_information_score 0.37741485201919805 kb_relative_information_score 0.367498243211758 kb_relative_information_score 0.3367457650319 mean_absolute_error 0.17763111233400616 mean_absolute_error 0.18419193889157864 mean_absolute_error 0.17369886157147787 mean_absolute_error 0.17625381894812742 mean_absolute_error 0.1879791151051296 mean_absolute_error 0.17747593147960353 mean_absolute_error 0.1902430288652827 mean_absolute_error 0.18034188791020278 mean_absolute_error 0.18197823864778576 mean_absolute_error 0.18920610111740616 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 0.5629683910098082 [0.5,0.424242,0.402985,0.46,0.413793,0.723684] precision 0.56306321914898 [0.468468,0.434783,0.507463,0.585366,0.366667,0.687097] precision 0.5493248585531898 [0.405941,0.276596,0.54386,0.5,0.415385,0.70915] precision 0.5588876107225921 [0.489796,0.371429,0.493151,0.36,0.5,0.706452] precision 0.5253453962662744 [0.43299,0.432432,0.423077,0.477273,0.355932,0.665635] precision 0.5626735455537831 [0.446602,0.451613,0.492537,0.388889,0.48,0.716612] precision 0.5267309414651044 [0.482143,0.535714,0.37037,0.431818,0.444444,0.633136] precision 0.5635568666709676 [0.426087,0.541667,0.508197,0.408163,0.431373,0.711538] precision 0.5701579419213338 [0.453782,0.580645,0.517857,0.372093,0.422222,0.716088] precision 0.5257990125265232 [0.454545,0.409091,0.388889,0.391304,0.477273,0.661585] predictive_accuracy 0.5849673202614379 predictive_accuracy 0.5800653594771242 predictive_accuracy 0.5669934640522876 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5506535947712419 predictive_accuracy 0.5849673202614379 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.5833333333333334 predictive_accuracy 0.5941080196399345 predictive_accuracy 0.5531914893617021 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 0.708611318067495 relative_absolute_error 0.7343134400445366 relative_absolute_error 0.692332923546132 relative_absolute_error 0.7026323535612885 relative_absolute_error 0.7493750141411551 relative_absolute_error 0.7075042809296284 relative_absolute_error 0.7584000614453744 relative_absolute_error 0.7194234378948845 relative_absolute_error 0.7262174346414557 relative_absolute_error 0.7550282574662895 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 0.303967103834523 root_mean_squared_error 0.30249157787995684 root_mean_squared_error 0.3023025206188035 root_mean_squared_error 0.29830012984890353 root_mean_squared_error 0.3118309281985535 root_mean_squared_error 0.3041429530353229 root_mean_squared_error 0.3092062129436807 root_mean_squared_error 0.3002908110378025 root_mean_squared_error 0.30227997418341485 root_mean_squared_error 0.30767615500568324 root_relative_squared_error 0.8587894239109523 root_relative_squared_error 0.8540733246688234 root_relative_squared_error 0.8533571276057701 root_relative_squared_error 0.8421977314550372 root_relative_squared_error 0.8803995508126853 root_relative_squared_error 0.8586939107741272 root_relative_squared_error 0.8729891308625197 root_relative_squared_error 0.8484007926707531 root_relative_squared_error 0.8543341072824068 root_relative_squared_error 0.8695469738518666 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 0.45442370845827856 [0.458716,0.291667,0.364865,0.370968,0.380952,0.859375] unweighted_recall 0.45172135464951824 [0.477064,0.208333,0.453333,0.387097,0.349206,0.835294] unweighted_recall 0.43802391446423256 [0.37963,0.265306,0.413333,0.290323,0.428571,0.85098] unweighted_recall 0.45096449115307563 [0.440367,0.265306,0.48,0.290323,0.370968,0.858824] unweighted_recall 0.4209569427060555 [0.385321,0.326531,0.293333,0.33871,0.33871,0.843137] unweighted_recall 0.45604736399837625 [0.422018,0.285714,0.44,0.33871,0.387097,0.862745] unweighted_recall 0.41198896249828726 [0.495413,0.306122,0.266667,0.306452,0.258065,0.839216] unweighted_recall 0.4463459670537364 [0.449541,0.265306,0.413333,0.327869,0.354839,0.867188] unweighted_recall 0.4520908259289671 [0.495413,0.375,0.386667,0.262295,0.306452,0.886719] unweighted_recall 0.40913232760367907 [0.412844,0.1875,0.378378,0.295082,0.333333,0.847656] usercpu_time_millis 19999.203677998594 usercpu_time_millis 11599.803132998204 usercpu_time_millis 23974.449199002265 usercpu_time_millis 18393.438838000293 usercpu_time_millis 10359.490214003017 usercpu_time_millis 20274.148511998646 usercpu_time_millis 8052.099171003647 usercpu_time_millis 13553.875312001765 usercpu_time_millis 14733.416327002487 usercpu_time_millis 8713.489469999331 usercpu_time_millis_testing 12.356725997960893 usercpu_time_millis_testing 11.613948998274282 usercpu_time_millis_testing 13.256335001642583 usercpu_time_millis_testing 11.750563000532566 usercpu_time_millis_testing 10.393119002401363 usercpu_time_millis_testing 12.853374999394873 usercpu_time_millis_testing 9.792038003070047 usercpu_time_millis_testing 11.045527000533184 usercpu_time_millis_testing 11.993910000455799 usercpu_time_millis_testing 6.795490000513382 usercpu_time_millis_training 19986.846952000633 usercpu_time_millis_training 11588.18918399993 usercpu_time_millis_training 23961.192864000623 usercpu_time_millis_training 18381.68827499976 usercpu_time_millis_training 10349.097095000616 usercpu_time_millis_training 20261.29513699925 usercpu_time_millis_training 8042.307133000577 usercpu_time_millis_training 13542.829785001231 usercpu_time_millis_training 14721.422417002032 usercpu_time_millis_training 8706.693979998818 wall_clock_time_millis 20388.227462768555 wall_clock_time_millis 11803.487062454224 wall_clock_time_millis 24432.008504867554 wall_clock_time_millis 18740.068674087524 wall_clock_time_millis 10543.956995010376 wall_clock_time_millis 20719.23875808716 wall_clock_time_millis 8192.532777786255 wall_clock_time_millis 13808.894157409668 wall_clock_time_millis 15025.448083877563 wall_clock_time_millis 8867.950916290283 wall_clock_time_millis_testing 12.36104965209961 wall_clock_time_millis_testing 17.841577529907227 wall_clock_time_millis_testing 13.360023498535156 wall_clock_time_millis_testing 11.75379753112793 wall_clock_time_millis_testing 10.411977767944336 wall_clock_time_millis_testing 12.86172866821289 wall_clock_time_millis_testing 9.795904159545898 wall_clock_time_millis_testing 11.049270629882812 wall_clock_time_millis_testing 12.00556755065918 wall_clock_time_millis_testing 6.799221038818359 wall_clock_time_millis_training 20375.866413116455 wall_clock_time_millis_training 11785.645484924316 wall_clock_time_millis_training 24418.64848136902 wall_clock_time_millis_training 18728.314876556396 wall_clock_time_millis_training 10533.545017242432 wall_clock_time_millis_training 20706.377029418945 wall_clock_time_millis_training 8182.736873626709 wall_clock_time_millis_training 13797.844886779785 wall_clock_time_millis_training 15013.442516326904 wall_clock_time_millis_training 8861.151695251465 weighted_recall 0.5849673202614379 [0.458716,0.291667,0.364865,0.370968,0.380952,0.859375] weighted_recall 0.5800653594771242 [0.477064,0.208333,0.453333,0.387097,0.349206,0.835294] weighted_recall 0.5669934640522876 [0.37963,0.265306,0.413333,0.290323,0.428571,0.85098] weighted_recall 0.5833333333333334 [0.440367,0.265306,0.48,0.290323,0.370968,0.858824] weighted_recall 0.5506535947712419 [0.385321,0.326531,0.293333,0.33871,0.33871,0.843137] weighted_recall 0.5849673202614379 [0.422018,0.285714,0.44,0.33871,0.387097,0.862745] weighted_recall 0.5522875816993464 [0.495413,0.306122,0.266667,0.306452,0.258065,0.839216] weighted_recall 0.5833333333333334 [0.449541,0.265306,0.413333,0.327869,0.354839,0.867188] weighted_recall 0.5941080196399345 [0.495413,0.375,0.386667,0.262295,0.306452,0.886719] weighted_recall 0.5531914893617021 [0.412844,0.1875,0.378378,0.295082,0.333333,0.847656]