10589104 32117 VAIBHAV JAISWAL 9983 Supervised Classification 19162 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.tree._classes.DecisionTreeClassifier)(1) 8304103 Python_3.7.7. Sklearn_1.0.2. NumPy_1.21.6. SciPy_1.7.3. copy true 19075 with_mean true 19075 with_std true 19075 add_indicator false 19084 copy true 19084 fill_value null 19084 missing_values NaN 19084 strategy "mean" 19084 verbose 0 19084 ccp_alpha 0.0 19085 class_weight null 19085 criterion "gini" 19085 max_depth null 19085 max_features null 19085 max_leaf_nodes null 19085 min_impurity_decrease 0.0 19085 min_samples_leaf 1 19085 min_samples_split 2 19085 min_weight_fraction_leaf 0.0 19085 random_state 0 19085 splitter "best" 19085 memory null 19156 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "Imputer", "step_name": "Imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "scaler", "step_name": "scaler"}}] 19156 verbose false 19156 memory null 19162 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "numerical", "step_name": "numerical"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "model", "step_name": "model"}}] 19162 verbose false 19162 openml-python Sklearn_1.0.2. 1471 eeg-eye-state https://www.openml.org/data/download/1587924/phplE7q6h -1 22105775 description https://api.openml.org/data/download/22105775/description.xml -1 22105776 predictions https://api.openml.org/data/download/22105776/predictions.arff area_under_roc_curve 0.8404139796484031 [0.840414,0.840414] average_cost 0 f_measure 0.8423957212026173 [0.857557,0.823775] kappa 0.6813363121476352 kb_relative_information_score 0.6800937186852805 mean_absolute_error 0.157543391188251 mean_prior_absolute_error 0.4947574918117115 weighted_recall 0.842456608811749 [0.860361,0.820467] number_of_instances 14980 [8257,6723] precision 0.8423568988773851 [0.854771,0.827111] predictive_accuracy 0.842456608811749 prior_entropy 0.9924223735239917 relative_absolute_error 0.3184254787357659 root_mean_prior_squared_error 0.4973714869043071 root_mean_squared_error 0.3969173606536391 root_relative_squared_error 0.7980299858443732 total_cost 0 unweighted_recall 0.8404139796484031 [0.860361,0.820467] area_under_roc_curve 0.8392857142857143 [0.839286,0.839286] area_under_roc_curve 0.8459443099273607 [0.845944,0.845944] area_under_roc_curve 0.8577481840193705 [0.857748,0.857748] area_under_roc_curve 0.8259433010492334 [0.825943,0.825943] area_under_roc_curve 0.8133323244552058 [0.813332,0.813332] area_under_roc_curve 0.8564114205004035 [0.856411,0.856411] area_under_roc_curve 0.848781779661017 [0.848782,0.848782] area_under_roc_curve 0.8439263361700212 [0.843926,0.843926] area_under_roc_curve 0.8363014993921383 [0.836301,0.836301] area_under_roc_curve 0.8364383808365979 [0.836438,0.836438] 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 0.8410991631164036 [0.856106,0.822653] f_measure 0.8483161690236688 [0.863664,0.829452] f_measure 0.8579887963306199 [0.869405,0.843956] f_measure 0.8293643501394915 [0.848305,0.806084] f_measure 0.8167023935450614 [0.83671,0.792109] f_measure 0.8583952689149345 [0.872289,0.841317] f_measure 0.8510129622986332 [0.865905,0.832708] f_measure 0.8451878739887682 [0.858881,0.828402] f_measure 0.8378163475786703 [0.852459,0.819867] f_measure 0.8378373604816711 [0.85228,0.820133] kappa 0.6787597446829982 kappa 0.6931386049802281 kappa 0.7134180844241578 kappa 0.6545196702837534 kappa 0.6289330464498165 kappa 0.7136147863852136 kappa 0.6986296179349542 kappa 0.6872882103221093 kappa 0.6723269115478718 kappa 0.6724165549266117 kb_relative_information_score 0.6773633461052658 kb_relative_information_score 0.6922751242264519 kb_relative_information_score 0.7112537509261421 kb_relative_information_score 0.6543178708270682 kb_relative_information_score 0.6285611631632004 kb_relative_information_score 0.712609367118977 kb_relative_information_score 0.6976975889977917 kb_relative_information_score 0.68555975378931 kb_relative_information_score 0.6706509490120776 kb_relative_information_score 0.6706509490120776 mean_absolute_error 0.1588785046728972 mean_absolute_error 0.15153538050734314 mean_absolute_error 0.14218958611481977 mean_absolute_error 0.17022696929238984 mean_absolute_error 0.1829105473965287 mean_absolute_error 0.14152202937249667 mean_absolute_error 0.14886515353805074 mean_absolute_error 0.1548731642189586 mean_absolute_error 0.16221628838451269 mean_absolute_error 0.16221628838451269 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.494736986564547 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 mean_prior_absolute_error 0.49480533738838384 number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [826,672] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] number_of_instances 1498 [825,673] precision 0.8410798506451892 [0.855072,0.823881] precision 0.8482967840299002 [0.856973,0.837633] precision 0.858505411695172 [0.880745,0.831169] precision 0.8295860822776359 [0.833918,0.824261] precision 0.8168135865917417 [0.823944,0.80805] precision 0.8583619761099127 [0.868106,0.846386] precision 0.8509837386248594 [0.860215,0.839637] precision 0.8452761732736406 [0.862027,0.824742] precision 0.8378557421787624 [0.854015,0.818047] precision 0.8379097760488574 [0.854878,0.817109] predictive_accuracy 0.8411214953271028 predictive_accuracy 0.8484646194926568 predictive_accuracy 0.8578104138851802 predictive_accuracy 0.8297730307076101 predictive_accuracy 0.8170894526034713 predictive_accuracy 0.8584779706275033 predictive_accuracy 0.8511348464619491 predictive_accuracy 0.8451268357810414 predictive_accuracy 0.8377837116154874 predictive_accuracy 0.8377837116154874 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.9923629998200836 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 prior_entropy 0.992560912165838 relative_absolute_error 0.3211373092926593 relative_absolute_error 0.3062948286110659 relative_absolute_error 0.28740439865267414 relative_absolute_error 0.34407568852784925 relative_absolute_error 0.3697127006142381 relative_absolute_error 0.28605508222707476 relative_absolute_error 0.30089756290866826 relative_absolute_error 0.31299816820164 relative_absolute_error 0.3278385985905109 relative_absolute_error 0.3278385985905109 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4973508728636661 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_prior_squared_error 0.4974195830102464 root_mean_squared_error 0.3985956656474041 root_mean_squared_error 0.3892754558244626 root_mean_squared_error 0.37708034437612864 root_mean_squared_error 0.4125857114496209 root_mean_squared_error 0.4276804267166417 root_mean_squared_error 0.3761941378763054 root_mean_squared_error 0.38583047253690417 root_mean_squared_error 0.3935392791310146 root_mean_squared_error 0.40276083273391006 root_mean_squared_error 0.40276083273391006 root_relative_squared_error 0.8014375512248618 root_relative_squared_error 0.7826978438442811 root_relative_squared_error 0.7581777070279597 root_relative_squared_error 0.8295666780959264 root_relative_squared_error 0.8599169118858218 root_relative_squared_error 0.7563958533142613 root_relative_squared_error 0.7757711780324312 root_relative_squared_error 0.7911616119924817 root_relative_squared_error 0.8097003947784129 root_relative_squared_error 0.8097003947784129 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 0.8392857142857142 [0.857143,0.821429] unweighted_recall 0.8459443099273607 [0.87046,0.821429] unweighted_recall 0.8577481840193704 [0.858354,0.857143] unweighted_recall 0.8259433010492332 [0.863196,0.78869] unweighted_recall 0.8133323244552058 [0.849879,0.776786] unweighted_recall 0.8564114205004036 [0.876513,0.83631] unweighted_recall 0.8487817796610169 [0.871671,0.825893] unweighted_recall 0.8439263361700211 [0.855758,0.832095] unweighted_recall 0.8363014993921383 [0.850909,0.821694] unweighted_recall 0.8364383808365978 [0.849697,0.82318] usercpu_time_millis 171.875 usercpu_time_millis 171.875 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis 187.5 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 171.875 usercpu_time_millis_training 187.5 usercpu_time_millis_training 187.5 usercpu_time_millis_training 171.875 wall_clock_time_millis 184.89694595336914 wall_clock_time_millis 179.9173355102539 wall_clock_time_millis 186.87081336975098 wall_clock_time_millis 185.9145164489746 wall_clock_time_millis 179.87728118896484 wall_clock_time_millis 180.89580535888672 wall_clock_time_millis 180.91893196105957 wall_clock_time_millis 186.87176704406738 wall_clock_time_millis 176.896333694458 wall_clock_time_millis 178.8778305053711 wall_clock_time_millis_testing 3.9997100830078125 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 2.99835205078125 wall_clock_time_millis_testing 2.9997825622558594 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_testing 1.9984245300292969 wall_clock_time_millis_testing 2.9993057250976562 wall_clock_time_millis_testing 3.000020980834961 wall_clock_time_millis_testing 2.999544143676758 wall_clock_time_millis_training 180.89723587036133 wall_clock_time_millis_training 176.91731452941895 wall_clock_time_millis_training 183.87126922607422 wall_clock_time_millis_training 182.91616439819336 wall_clock_time_millis_training 176.87749862670898 wall_clock_time_millis_training 177.89626121520996 wall_clock_time_millis_training 178.92050743103027 wall_clock_time_millis_training 183.87246131896973 wall_clock_time_millis_training 173.89631271362305 wall_clock_time_millis_training 175.87828636169434 weighted_recall 0.8411214953271028 [0.857143,0.821429] weighted_recall 0.8484646194926568 [0.87046,0.821429] weighted_recall 0.8578104138851802 [0.858354,0.857143] weighted_recall 0.8297730307076101 [0.863196,0.78869] weighted_recall 0.8170894526034713 [0.849879,0.776786] weighted_recall 0.8584779706275033 [0.876513,0.83631] weighted_recall 0.8511348464619493 [0.871671,0.825893] weighted_recall 0.8451268357810414 [0.855758,0.832095] weighted_recall 0.8377837116154874 [0.850909,0.821694] weighted_recall 0.8377837116154874 [0.849697,0.82318]