5995650 1 Jan van Rijn 3950 Supervised Classification predictive_accuracy 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4030383 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.3416142205626499 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 13 6902 min_samples_split 20 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 48471 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 12914446 description https://api.openml.org/data/download/12914446/description.xml -1 12914447 predictions https://api.openml.org/data/download/12914447/predictions.arff area_under_roc_curve 0.9988223846288424 [0.998822,0.998822] average_cost 0 f_measure 0.9900693878741227 [0.994197,0.967419] kappa 0.9616181055648421 kb_relative_information_score 5774.957364761061 mean_absolute_error 0.03533525793346666 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9901246512859279 [0.990747,0.986708] predictive_accuracy 0.9901485298575327 prior_entropy 0.6203559250859288 recall 0.9901485298575325 [0.997671,0.948869] relative_absolute_error 0.13547188977564573 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.10043640689243977 root_relative_squared_error 0.2781550650746663 total_cost 0 area_under_roc_curve 0.9992029614410457 [0.999203,0.999203] area_under_roc_curve 0.9972942582050741 [0.997294,0.997294] area_under_roc_curve 0.9992445006676507 [0.999245,0.999245] area_under_roc_curve 0.999297209923396 [0.999297,0.999297] area_under_roc_curve 0.999332349427226 [0.999332,0.999332] area_under_roc_curve 0.9973996767165647 [0.9974,0.9974] area_under_roc_curve 0.9978389205144422 [0.997839,0.997839] area_under_roc_curve 0.9986471291025372 [0.998647,0.998647] area_under_roc_curve 0.9997515880620319 [0.999752,0.999752] area_under_roc_curve 0.9995386635437737 [0.999539,0.999539] 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 0.9892829557148752 [0.993767,0.964467] f_measure 0.9830891692393924 [0.990205,0.944162] f_measure 0.9938896103896104 [0.996429,0.98] f_measure 0.9938896103896104 [0.996429,0.98] f_measure 0.9908722178121211 [0.994633,0.970297] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.9831611222929993 [0.990187,0.944724] f_measure 0.992408974040808 [0.995524,0.975369] f_measure 0.9954194360886108 [0.997319,0.984925] f_measure 0.9954194360886108 [0.997319,0.984925] kappa 0.9582384206529992 kappa 0.9343817787418653 kappa 0.9764302549817868 kappa 0.9764302549817868 kappa 0.964930924548353 kappa 0.934918244406196 kappa 0.934918244406196 kappa 0.9708933107535986 kappa 0.9822443755893844 kappa 0.9822443755893844 kb_relative_information_score 575.2192813815464 kb_relative_information_score 560.064512336958 kb_relative_information_score 584.8037391811631 kb_relative_information_score 591.2170261491492 kb_relative_information_score 584.1821749137953 kb_relative_information_score 556.6864466307028 kb_relative_information_score 558.0410740090937 kb_relative_information_score 592.0223890217962 kb_relative_information_score 589.9565358982786 kb_relative_information_score 582.7641852386602 mean_absolute_error 0.036124452037928405 mean_absolute_error 0.041929030147366854 mean_absolute_error 0.03345817387612121 mean_absolute_error 0.0312103888484246 mean_absolute_error 0.032943351185962366 mean_absolute_error 0.04313657960679238 mean_absolute_error 0.04174874005708691 mean_absolute_error 0.029675845995239508 mean_absolute_error 0.03097737055934105 mean_absolute_error 0.03213719861632602 mean_prior_absolute_error 0.2600651974288342 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.2602257782682673 mean_prior_absolute_error 0.2602257782682673 number_of_instances 660 [559,101] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 659 [558,101] number_of_instances 659 [558,101] precision 0.9893956184182249 [0.989362,0.989583] precision 0.9832789939450396 [0.984071,0.978947] precision 0.9939825299255904 [0.992883,1] precision 0.9939825299255904 [0.992883,1] precision 0.9908701298701299 [0.992857,0.98] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9832066799728991 [0.98579,0.969072] precision 0.9924023708274227 [0.994633,0.980198] precision 0.9954719920800434 [0.994652,1] precision 0.9954719920800434 [0.994652,1] predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.9939393939393939 predictive_accuracy 0.990909090909091 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9924242424242425 predictive_accuracy 0.9954476479514416 predictive_accuracy 0.9954476479514416 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 recall 0.9893939393939394 [0.998211,0.940594] recall 0.9833333333333333 [0.996416,0.911765] recall 0.9939393939393939 [1,0.960784] recall 0.9939393939393939 [1,0.960784] recall 0.990909090909091 [0.996416,0.960784] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9833333333333333 [0.994624,0.921569] recall 0.9924242424242424 [0.996416,0.970588] recall 0.9954476479514416 [1,0.970297] recall 0.9954476479514416 [1,0.970297] relative_absolute_error 0.13890536832716233 relative_absolute_error 0.16057813495414985 relative_absolute_error 0.128136785924122 relative_absolute_error 0.11952830806864144 relative_absolute_error 0.1261651384253072 relative_absolute_error 0.16520275993063815 relative_absolute_error 0.1598876671244358 relative_absolute_error 0.11365137677531992 relative_absolute_error 0.11904036089540065 relative_absolute_error 0.12349736767122167 root_mean_prior_squared_error 0.360018747598774 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.3602416958959955 root_mean_prior_squared_error 0.3602416958959955 root_mean_squared_error 0.10395323794480402 root_mean_squared_error 0.11770291419937919 root_mean_squared_error 0.09259276821079827 root_mean_squared_error 0.09000443627252344 root_mean_squared_error 0.09563577295659095 root_mean_squared_error 0.11959198929895154 root_mean_squared_error 0.11473960768147573 root_mean_squared_error 0.08957852692805135 root_mean_squared_error 0.08533087351120987 root_mean_squared_error 0.08725223989963084 root_relative_squared_error 0.28874395746928044 root_relative_squared_error 0.3256220553205904 root_relative_squared_error 0.2561554885680323 root_relative_squared_error 0.2489949354812556 root_relative_squared_error 0.26457388216869426 root_relative_squared_error 0.33084813252319667 root_relative_squared_error 0.3174241447975754 root_relative_squared_error 0.24781666834088278 root_relative_squared_error 0.2368711742236677 root_relative_squared_error 0.24220472225630768 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 usercpu_time_millis 20942.19945399891 usercpu_time_millis 20856.427377000728 usercpu_time_millis 21169.086285999583 usercpu_time_millis 21238.881339999352 usercpu_time_millis 21561.992273000214 usercpu_time_millis 20578.86652900015 usercpu_time_millis 21605.302348001715 usercpu_time_millis 21332.903499000167 usercpu_time_millis 21283.63943199838 usercpu_time_millis 21478.62649900162 usercpu_time_millis_testing 33.641946998614 usercpu_time_millis_testing 34.532267000031425 usercpu_time_millis_testing 33.80554899922572 usercpu_time_millis_testing 34.03036400050041 usercpu_time_millis_testing 33.27196600002935 usercpu_time_millis_testing 34.09753699997964 usercpu_time_millis_testing 33.88429600090603 usercpu_time_millis_testing 36.85477699946205 usercpu_time_millis_testing 33.85997399891494 usercpu_time_millis_testing 33.93002700067882 usercpu_time_millis_training 20908.557507000296 usercpu_time_millis_training 20821.895110000696 usercpu_time_millis_training 21135.280737000357 usercpu_time_millis_training 21204.850975998852 usercpu_time_millis_training 21528.720307000185 usercpu_time_millis_training 20544.768992000172 usercpu_time_millis_training 21571.41805200081 usercpu_time_millis_training 21296.048722000705 usercpu_time_millis_training 21249.779457999466 usercpu_time_millis_training 21444.696472000942