10586574 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) 8302856 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 "mean" 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 0.6998957209939678 19040 loss "deviance" 19040 max_depth 3 19040 max_features null 19040 max_leaf_nodes 792 19040 min_impurity_decrease 0.0 19040 min_samples_leaf 78 19040 min_samples_split 2 19040 min_weight_fraction_leaf 0.0 19040 n_estimators 100 19040 n_iter_no_change 1 19040 random_state 57082 19040 subsample 1.0 19040 tol 0.0001 19040 validation_fraction 0.27748720592862497 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 22099419 description https://api.openml.org/data/download/22099419/description.xml -1 22099420 predictions https://api.openml.org/data/download/22099420/predictions.arff area_under_roc_curve 0.8062848585806143 [0.748679,0.765406,0.800449,0.745325,0.78894,0.8593] average_cost 0 f_measure 0.5258645863245123 [0.42236,0.256739,0.413793,0.349328,0.35671,0.738009] kappa 0.3700559506374557 kb_relative_information_score 0.31980377511204566 mean_absolute_error 0.1933563060185996 mean_prior_absolute_error 0.2507645736611627 weighted_recall 0.547401111474338 [0.405877,0.205761,0.385027,0.294976,0.330128,0.834377] number_of_instances 6118 [1089,486,748,617,624,2554] precision 0.5190937939598802 [0.440239,0.341297,0.447205,0.428235,0.387947,0.661596] predictive_accuracy 0.547401111474338 prior_entropy 2.3000072984859514 relative_absolute_error 0.7710670737720149 root_mean_prior_squared_error 0.35407492669342416 root_mean_squared_error 0.31542616800651657 root_relative_squared_error 0.8908458188558163 total_cost 0 unweighted_recall 0.40935772454310637 [0.405877,0.205761,0.385027,0.294976,0.330128,0.834377] area_under_roc_curve 0.8175298750278163 [0.782279,0.716349,0.806051,0.760792,0.804421,0.871796] area_under_roc_curve 0.8083254088963682 [0.754391,0.784538,0.845289,0.75195,0.777286,0.846361] area_under_roc_curve 0.8036748659345048 [0.742798,0.727408,0.791645,0.739194,0.76111,0.873845] area_under_roc_curve 0.8168303413049657 [0.757437,0.782216,0.810329,0.763299,0.806202,0.866381] area_under_roc_curve 0.8009016339436986 [0.719089,0.790499,0.770068,0.766056,0.817097,0.851475] area_under_roc_curve 0.8071197322564828 [0.750561,0.735781,0.815419,0.709809,0.766598,0.876075] area_under_roc_curve 0.8057672068510107 [0.762508,0.738156,0.811446,0.756584,0.798886,0.849212] area_under_roc_curve 0.8160375300955569 [0.713617,0.797676,0.815518,0.764631,0.834736,0.871033] area_under_roc_curve 0.8118856686587128 [0.777578,0.828375,0.787413,0.752399,0.740804,0.861961] area_under_roc_curve 0.7799818650467015 [0.734109,0.766319,0.765552,0.698063,0.783252,0.824961] 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 0.5213030497809645 [0.483412,0.136986,0.416667,0.296296,0.298246,0.749129] f_measure 0.5212475448154913 [0.454545,0.231884,0.431655,0.365385,0.302521,0.722513] f_measure 0.5106422914638112 [0.348718,0.214286,0.405594,0.294737,0.343284,0.760908] f_measure 0.5295116226179556 [0.42,0.289157,0.423841,0.294737,0.417391,0.737931] f_measure 0.5352113422649113 [0.405797,0.289474,0.4,0.442478,0.380165,0.737762] f_measure 0.5478978211913491 [0.444444,0.184211,0.435374,0.414414,0.365385,0.77193] f_measure 0.5211667099592093 [0.441441,0.26087,0.396947,0.373832,0.330097,0.724077] f_measure 0.5364837519816529 [0.384615,0.333333,0.409449,0.381818,0.407407,0.745363] f_measure 0.5370744104281648 [0.472727,0.337349,0.450704,0.3125,0.293103,0.739823] f_measure 0.49177147824455 [0.350515,0.276923,0.360902,0.291262,0.429752,0.693069] kappa 0.36886854395655344 kappa 0.36395523634541505 kappa 0.35572760449756946 kappa 0.37674501583337056 kappa 0.3820788212320256 kappa 0.40428807769318736 kappa 0.3620239688301703 kappa 0.38183907269102085 kappa 0.3843144518949357 kappa 0.3194542648389329 kb_relative_information_score 0.3244308912192882 kb_relative_information_score 0.3180923119676326 kb_relative_information_score 0.31458969391821173 kb_relative_information_score 0.3210570286600486 kb_relative_information_score 0.34347800990927463 kb_relative_information_score 0.32467471035262235 kb_relative_information_score 0.33493440089243415 kb_relative_information_score 0.3304836260581822 kb_relative_information_score 0.31539399658742 kb_relative_information_score 0.27072077244694154 mean_absolute_error 0.19097815105871913 mean_absolute_error 0.19529846117742275 mean_absolute_error 0.19169873759760328 mean_absolute_error 0.1937555252663638 mean_absolute_error 0.188713831806341 mean_absolute_error 0.19229039387093 mean_absolute_error 0.18985393796445785 mean_absolute_error 0.19179891747663894 mean_absolute_error 0.19387116820389425 mean_absolute_error 0.20532433264075858 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 0.5089236341697375 [0.5,0.2,0.428571,0.347826,0.333333,0.676101] precision 0.5176948504414515 [0.45045,0.380952,0.46875,0.452381,0.321429,0.650943] precision 0.5037826673714769 [0.390805,0.257143,0.426471,0.424242,0.323944,0.685535] precision 0.5252727967843268 [0.461538,0.352941,0.421053,0.424242,0.45283,0.658462] precision 0.530589474287836 [0.428571,0.407407,0.45,0.490196,0.389831,0.665615] precision 0.539508384408338 [0.448598,0.259259,0.444444,0.469388,0.452381,0.698413] precision 0.5168581701977827 [0.433628,0.27907,0.464286,0.444444,0.414634,0.656051] precision 0.5346115326399774 [0.40404,0.448276,0.5,0.428571,0.478261,0.655786] precision 0.5317470340535144 [0.468468,0.4,0.477612,0.428571,0.314815,0.676375] precision 0.4954837204864087 [0.4,0.529412,0.40678,0.357143,0.448276,0.6] predictive_accuracy 0.545751633986928 predictive_accuracy 0.5424836601307189 predictive_accuracy 0.5343137254901961 predictive_accuracy 0.5522875816993464 predictive_accuracy 0.553921568627451 predictive_accuracy 0.5702614379084967 predictive_accuracy 0.5392156862745098 predictive_accuracy 0.5604575163398693 predictive_accuracy 0.5548281505728314 predictive_accuracy 0.5204582651391162 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 0.761855722038984 relative_absolute_error 0.778591537314853 relative_absolute_error 0.7640772440321197 relative_absolute_error 0.7724025586842768 relative_absolute_error 0.7523039476987585 relative_absolute_error 0.7665618414346089 relative_absolute_error 0.7568489582861497 relative_absolute_error 0.7651280475907362 relative_absolute_error 0.773678344565554 relative_absolute_error 0.8193481720390414 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 0.3150399521421667 root_mean_squared_error 0.3146250756636487 root_mean_squared_error 0.31795522259334386 root_mean_squared_error 0.3132279361917164 root_mean_squared_error 0.31550792486353396 root_mean_squared_error 0.31406982127797034 root_mean_squared_error 0.31543630985632937 root_mean_squared_error 0.31206607531423997 root_mean_squared_error 0.31537921074791847 root_mean_squared_error 0.3208760952575299 root_relative_squared_error 0.8900732204113505 root_relative_squared_error 0.8883317885394837 root_relative_squared_error 0.8975424846081559 root_relative_squared_error 0.8843437561446182 root_relative_squared_error 0.8907809014724483 root_relative_squared_error 0.8867206699935933 root_relative_squared_error 0.8905787091481057 root_relative_squared_error 0.8816690219299547 root_relative_squared_error 0.8913564889557154 root_relative_squared_error 0.906852328570716 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 0.3908685860498758 [0.46789,0.104167,0.405405,0.258065,0.269841,0.839844] unweighted_recall 0.4048854779161344 [0.458716,0.166667,0.4,0.306452,0.285714,0.811765] unweighted_recall 0.3884904547243031 [0.314815,0.183673,0.386667,0.225806,0.365079,0.854902] unweighted_recall 0.41816743980812215 [0.385321,0.244898,0.426667,0.225806,0.387097,0.839216] unweighted_recall 0.4285759042691753 [0.385321,0.22449,0.36,0.403226,0.370968,0.827451] unweighted_recall 0.42500920581313323 [0.440367,0.142857,0.426667,0.370968,0.306452,0.862745] unweighted_recall 0.40762054017621646 [0.449541,0.244898,0.346667,0.322581,0.274194,0.807843] unweighted_recall 0.42355458682320885 [0.366972,0.265306,0.346667,0.344262,0.354839,0.863281] unweighted_recall 0.42198316520802975 [0.477064,0.291667,0.426667,0.245902,0.274194,0.816406] unweighted_recall 0.3837772469785978 [0.311927,0.1875,0.324324,0.245902,0.412698,0.820312] usercpu_time_millis 4686.906405000627 usercpu_time_millis 3231.68755900042 usercpu_time_millis 4981.115542002954 usercpu_time_millis 3228.8650139998936 usercpu_time_millis 4981.651301000966 usercpu_time_millis 3824.7337890024937 usercpu_time_millis 4954.877401996782 usercpu_time_millis 3810.9630870021647 usercpu_time_millis 3291.569293996872 usercpu_time_millis 1788.731591001124 usercpu_time_millis_testing 9.375344001455233 usercpu_time_millis_testing 9.097453999856953 usercpu_time_millis_testing 9.754257000167854 usercpu_time_millis_testing 9.56919600139372 usercpu_time_millis_testing 9.910303000651766 usercpu_time_millis_testing 9.380893003253732 usercpu_time_millis_testing 9.482425997703103 usercpu_time_millis_testing 9.693325002444908 usercpu_time_millis_testing 6.02215699836961 usercpu_time_millis_testing 8.665675999509403 usercpu_time_millis_training 4677.531060999172 usercpu_time_millis_training 3222.590105000563 usercpu_time_millis_training 4971.361285002786 usercpu_time_millis_training 3219.2958179985 usercpu_time_millis_training 4971.740998000314 usercpu_time_millis_training 3815.35289599924 usercpu_time_millis_training 4945.394975999079 usercpu_time_millis_training 3801.26976199972 usercpu_time_millis_training 3285.5471369985025 usercpu_time_millis_training 1780.0659150016145 wall_clock_time_millis 4789.7093296051025 wall_clock_time_millis 3311.95330619812 wall_clock_time_millis 5098.502159118652 wall_clock_time_millis 3286.419153213501 wall_clock_time_millis 5105.4582595825195 wall_clock_time_millis 3901.787757873535 wall_clock_time_millis 5045.099973678589 wall_clock_time_millis 3879.279851913452 wall_clock_time_millis 3337.726831436157 wall_clock_time_millis 1835.5071544647217 wall_clock_time_millis_testing 9.379863739013672 wall_clock_time_millis_testing 9.10329818725586 wall_clock_time_millis_testing 9.760856628417969 wall_clock_time_millis_testing 9.618997573852539 wall_clock_time_millis_testing 9.947538375854492 wall_clock_time_millis_testing 9.384870529174805 wall_clock_time_millis_testing 9.48786735534668 wall_clock_time_millis_testing 11.260747909545898 wall_clock_time_millis_testing 6.026268005371094 wall_clock_time_millis_testing 8.671283721923828 wall_clock_time_millis_training 4780.329465866089 wall_clock_time_millis_training 3302.8500080108643 wall_clock_time_millis_training 5088.741302490234 wall_clock_time_millis_training 3276.8001556396484 wall_clock_time_millis_training 5095.510721206665 wall_clock_time_millis_training 3892.4028873443604 wall_clock_time_millis_training 5035.612106323242 wall_clock_time_millis_training 3868.0191040039062 wall_clock_time_millis_training 3331.700563430786 wall_clock_time_millis_training 1826.8358707427979 weighted_recall 0.545751633986928 [0.46789,0.104167,0.405405,0.258065,0.269841,0.839844] weighted_recall 0.5424836601307189 [0.458716,0.166667,0.4,0.306452,0.285714,0.811765] weighted_recall 0.5343137254901961 [0.314815,0.183673,0.386667,0.225806,0.365079,0.854902] weighted_recall 0.5522875816993464 [0.385321,0.244898,0.426667,0.225806,0.387097,0.839216] weighted_recall 0.553921568627451 [0.385321,0.22449,0.36,0.403226,0.370968,0.827451] weighted_recall 0.5702614379084967 [0.440367,0.142857,0.426667,0.370968,0.306452,0.862745] weighted_recall 0.5392156862745098 [0.449541,0.244898,0.346667,0.322581,0.274194,0.807843] weighted_recall 0.5604575163398693 [0.366972,0.265306,0.346667,0.344262,0.354839,0.863281] weighted_recall 0.5548281505728314 [0.477064,0.291667,0.426667,0.245902,0.274194,0.816406] weighted_recall 0.5204582651391162 [0.311927,0.1875,0.324324,0.245902,0.412698,0.820312]