10591621 32117 VAIBHAV JAISWAL 146065 Supervised Classification precision 19176 sklearn.pipeline.Pipeline(numerical=sklearn.pipeline.Pipeline(Imputer=sklearn.impute._base.SimpleImputer,scaler=sklearn.preprocessing._data.StandardScaler),model=sklearn.neural_network._multilayer_perceptron.MLPClassifier)(1) 8304110 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 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 19176 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"}}] 19176 verbose false 19176 activation "relu" 19177 alpha 0.0001 19177 batch_size "auto" 19177 beta_1 0.9 19177 beta_2 0.999 19177 early_stopping false 19177 epsilon 1e-08 19177 hidden_layer_sizes [100] 19177 learning_rate "constant" 19177 learning_rate_init 0.001 19177 max_fun 15000 19177 max_iter 5000 19177 momentum 0.9 19177 n_iter_no_change 10 19177 nesterovs_momentum true 19177 power_t 0.5 19177 random_state 0 19177 shuffle true 19177 solver "adam" 19177 tol 0.0001 19177 validation_fraction 0.1 19177 verbose false 19177 warm_start false 19177 openml-python Sklearn_1.0.2. 334 monks-problems-2 https://www.openml.org/data/download/52237/php4fATLZ -1 22110848 description https://api.openml.org/data/download/22110848/description.xml -1 22110849 predictions https://api.openml.org/data/download/22110849/predictions.arff area_under_roc_curve 0.9921592724591374 [0.992159,0.992159] average_cost 0 f_measure 0.9652303940742172 [0.973111,0.950119] kappa 0.9232490680548039 kb_relative_information_score 0.8464330257476145 mean_absolute_error 0.07772294901560502 mean_prior_absolute_error 0.4507164675789115 weighted_recall 0.9650582362728786 [0.962025,0.970874] number_of_instances 601 [395,206] precision 0.9658702339495626 [0.984456,0.930233] predictive_accuracy 0.9650582362728786 prior_entropy 0.9274381882789376 relative_absolute_error 0.17244310915264546 root_mean_prior_squared_error 0.47463301952307513 root_mean_squared_error 0.1682346241359797 root_relative_squared_error 0.3544520023175519 total_cost 0 unweighted_recall 0.9664495514317316 [0.962025,0.970874] area_under_roc_curve 0.9988095238095238 [0.99881,0.99881] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.99375 [0.99375,0.99375] area_under_roc_curve 0.9875 [0.9875,0.9875] area_under_roc_curve 0.9962500000000001 [0.99625,0.99625] area_under_roc_curve 1 [1,1] area_under_roc_curve 0.9621489621489622 [0.962149,0.962149] area_under_roc_curve 0.9963369963369964 [0.996337,0.996337] area_under_roc_curve 1 [1,1] area_under_roc_curve 1 [1,1] 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 0.9836934228369293 [0.987342,0.976744] f_measure 0.9834311001337862 [0.987342,0.97561] f_measure 0.9179502667874762 [0.935065,0.883721] f_measure 0.9185185185185186 [0.933333,0.888889] f_measure 0.9834311001337862 [0.987342,0.97561] f_measure 1 [1,1] f_measure 0.9161778326644026 [0.936709,0.878049] f_measure 0.9497066995986415 [0.962025,0.926829] f_measure 1 [1,1] f_measure 1 [1,1] kappa 0.9640965273690406 kappa 0.9629629629629628 kappa 0.8192771084337349 kappa 0.8235294117647058 kappa 0.9629629629629628 kappa 1 kappa 0.8148148148148148 kappa 0.8888888888888887 kappa 1 kappa 1 kb_relative_information_score 0.8823897286489931 kb_relative_information_score 0.8722042189771245 kb_relative_information_score 0.7975179827776716 kb_relative_information_score 0.7770697632069864 kb_relative_information_score 0.8728301769239095 kb_relative_information_score 0.8674084539427974 kb_relative_information_score 0.7578405971869612 kb_relative_information_score 0.8543036484699236 kb_relative_information_score 0.895391496852942 kb_relative_information_score 0.8858812438983307 mean_absolute_error 0.06134031682461317 mean_absolute_error 0.06847989283208539 mean_absolute_error 0.0969431487446549 mean_absolute_error 0.10193323650823193 mean_absolute_error 0.0667428605980662 mean_absolute_error 0.07414234529046886 mean_absolute_error 0.11223737933630057 mean_absolute_error 0.07426214963792034 mean_absolute_error 0.05707269820484825 mean_absolute_error 0.06434850604871131 mean_prior_absolute_error 0.4511866895033036 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4477611940298512 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 mean_prior_absolute_error 0.4529850746268661 number_of_instances 61 [40,21] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [40,20] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] number_of_instances 60 [39,21] precision 0.9843517138599106 [1,0.954545] precision 0.9841269841269842 [1,0.952381] precision 0.9240109674892284 [0.972973,0.826087] precision 0.9333333333333333 [1,0.8] precision 0.9841269841269842 [1,0.952381] precision 1 [1,1] precision 0.9162500000000001 [0.925,0.9] precision 0.95 [0.95,0.95] precision 1 [1,1] precision 1 [1,1] predictive_accuracy 0.9836065573770492 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9833333333333333 predictive_accuracy 1 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.95 predictive_accuracy 1 predictive_accuracy 1 prior_entropy 0.9288422097579495 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9186141260139027 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 prior_entropy 0.9342119537235741 relative_absolute_error 0.1359532943938144 relative_absolute_error 0.15293842732499052 relative_absolute_error 0.21650636552972904 relative_absolute_error 0.22765089486838438 relative_absolute_error 0.14905905533568103 relative_absolute_error 0.1636750291420563 relative_absolute_error 0.24777279787585274 relative_absolute_error 0.16393950661418974 relative_absolute_error 0.1259924474373914 relative_absolute_error 0.1420543626116525 root_mean_prior_squared_error 0.4751281144554437 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.47150952235615856 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_prior_squared_error 0.4770168867760844 root_mean_squared_error 0.1340765627359541 root_mean_squared_error 0.12946291354292708 root_mean_squared_error 0.18976757322019364 root_mean_squared_error 0.23630163920386577 root_mean_squared_error 0.14478474169615307 root_mean_squared_error 0.1345066822591781 root_mean_squared_error 0.24913109146417486 root_mean_squared_error 0.16401013936930228 root_mean_squared_error 0.11893480850874873 root_mean_squared_error 0.12019917732618988 root_relative_squared_error 0.2821903369991537 root_relative_squared_error 0.2745711537192163 root_relative_squared_error 0.40246816707309496 root_relative_squared_error 0.5011598451353723 root_relative_squared_error 0.3070664214216839 root_relative_squared_error 0.2819746763437258 root_relative_squared_error 0.5222689141005589 root_relative_squared_error 0.3438245980719126 root_relative_squared_error 0.24933039438617968 root_relative_squared_error 0.25198096893079674 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 0.9875 [0.975,1] unweighted_recall 0.9875 [0.975,1] unweighted_recall 0.925 [0.9,0.95] unweighted_recall 0.9375 [0.875,1] unweighted_recall 0.9875 [0.975,1] unweighted_recall 1 [1,1] unweighted_recall 0.9029304029304028 [0.948718,0.857143] unweighted_recall 0.9395604395604396 [0.974359,0.904762] unweighted_recall 1 [1,1] unweighted_recall 1 [1,1] usercpu_time_millis 4734.375 usercpu_time_millis 4656.25 usercpu_time_millis 4546.875 usercpu_time_millis 4343.75 usercpu_time_millis 4359.375 usercpu_time_millis 4875 usercpu_time_millis 4437.5 usercpu_time_millis 4609.375 usercpu_time_millis 4437.5 usercpu_time_millis 4265.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 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 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 4734.375 usercpu_time_millis_training 4656.25 usercpu_time_millis_training 4546.875 usercpu_time_millis_training 4343.75 usercpu_time_millis_training 4359.375 usercpu_time_millis_training 4875 usercpu_time_millis_training 4421.875 usercpu_time_millis_training 4609.375 usercpu_time_millis_training 4437.5 usercpu_time_millis_training 4265.625 wall_clock_time_millis 4724.658966064453 wall_clock_time_millis 4575.220584869385 wall_clock_time_millis 4518.434047698975 wall_clock_time_millis 4368.9284324646 wall_clock_time_millis 4250.187635421753 wall_clock_time_millis 4955.450534820557 wall_clock_time_millis 4242.125988006592 wall_clock_time_millis 4558.335781097412 wall_clock_time_millis 4392.1215534210205 wall_clock_time_millis 4229.292154312134 wall_clock_time_millis_testing 3.9963722229003906 wall_clock_time_millis_testing 6.011724472045898 wall_clock_time_millis_testing 3.9968490600585938 wall_clock_time_millis_testing 4.000425338745117 wall_clock_time_millis_testing 3.9970874786376953 wall_clock_time_millis_testing 3.9985179901123047 wall_clock_time_millis_testing 3.9975643157958984 wall_clock_time_millis_testing 3.0210018157958984 wall_clock_time_millis_testing 3.999471664428711 wall_clock_time_millis_testing 2.9976367950439453 wall_clock_time_millis_training 4720.662593841553 wall_clock_time_millis_training 4569.208860397339 wall_clock_time_millis_training 4514.437198638916 wall_clock_time_millis_training 4364.9280071258545 wall_clock_time_millis_training 4246.190547943115 wall_clock_time_millis_training 4951.452016830444 wall_clock_time_millis_training 4238.128423690796 wall_clock_time_millis_training 4555.314779281616 wall_clock_time_millis_training 4388.122081756592 wall_clock_time_millis_training 4226.29451751709 weighted_recall 0.9836065573770492 [0.975,1] weighted_recall 0.9833333333333333 [0.975,1] weighted_recall 0.9166666666666666 [0.9,0.95] weighted_recall 0.9166666666666666 [0.875,1] weighted_recall 0.9833333333333333 [0.975,1] weighted_recall 1 [1,1] weighted_recall 0.9166666666666666 [0.948718,0.857143] weighted_recall 0.95 [0.974359,0.904762] weighted_recall 1 [1,1] weighted_recall 1 [1,1]