89993 2 Joaquin Vanschoren 3517 Supervised Classification predictive_accuracy 563 weka.NaiveBayesUpdateable(2) 847 weka.classifiers.bayes.NaiveBayesUpdateable 382 ipums_la_97-small https://www.openml.org/data/download/52422/ipums_la_97-small.arff -1 270805 description https://api.openml.org/data/download/270805/weka_generated_run1706067011252436043.xml -1 270808 model_readable https://api.openml.org/data/download/270808/WekaModel_weka.classifiers.bayes.NaiveBayesUpdateable1137875937274554576.model -1 270807 model_serialized https://api.openml.org/data/download/270807/WekaSerialized_weka.classifiers.bayes.NaiveBayesUpdateable7655357509603431576.model -1 270806 predictions https://api.openml.org/data/download/270806/weka_generated_predictions1983484438303919310.arff area_under_roc_curve 0.728061 [0.771765,0.707197,0.668536,0.604506,0.688849,0.781353,0.85663,0.843047] average_cost 0 build_cpu_time 0.0099 build_memory 348261263.95327 f_measure 0.301613 [0.536015,0.139241,0.059843,0.160385,0.22614,0.372943,0.277182,0.181004] kappa 0.202846 kb_relative_information_score 1794.024521 mean_absolute_error 0.17435 mean_prior_absolute_error 0.208156 number_of_instances 7019 [1938,869,528,889,1227,1000,310,258] os_information [Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64] precision 0.383835 [0.566341,0.324895,0.17757,0.27933,0.444976,0.343434,0.181727,0.10233] predictive_accuracy 0.307594 prior_entropy 2.759053 recall 0.307594 [0.508772,0.088608,0.035985,0.112486,0.151589,0.408,0.583871,0.782946] relative_absolute_error 0.837591 root_mean_prior_squared_error 0.322602 root_mean_squared_error 0.385046 root_relative_squared_error 1.193564 scimark_benchmark 922.564535 [568.8977537654588, 1015.2555353338006, 483.8854846559526, 886.8200001693772, 1657.9639000220855] total_cost 0 area_under_roc_curve 0.72865 [0.784149,0.71569,0.603462,0.621799,0.669749,0.787326,0.891231,0.833153] area_under_roc_curve 0.72844 [0.758275,0.751986,0.67926,0.594048,0.672276,0.794568,0.868804,0.835451] area_under_roc_curve 0.724705 [0.754206,0.775012,0.691368,0.569725,0.679473,0.766711,0.867939,0.82003] area_under_roc_curve 0.730844 [0.763886,0.731633,0.703651,0.574683,0.704825,0.769377,0.885126,0.862597] area_under_roc_curve 0.727636 [0.767605,0.701916,0.642818,0.609232,0.699082,0.79603,0.858276,0.805388] area_under_roc_curve 0.72675 [0.778817,0.664854,0.675858,0.604753,0.693238,0.787101,0.81698,0.884246] area_under_roc_curve 0.718303 [0.783434,0.660751,0.667035,0.566783,0.685239,0.77588,0.850392,0.824277] area_under_roc_curve 0.72217 [0.781227,0.666984,0.715615,0.649083,0.660267,0.742749,0.792414,0.857277] area_under_roc_curve 0.720005 [0.749539,0.669134,0.690191,0.587981,0.709929,0.790033,0.816475,0.847007] area_under_roc_curve 0.75528 [0.795321,0.740687,0.618911,0.669494,0.716319,0.804359,0.920077,0.872336] 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 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.009 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.01 build_cpu_time 0.01 build_memory 132682456 build_memory 287895696 build_memory 313981088 build_memory 336147616 build_memory 341357744 build_memory 375283304 build_memory 397449832 build_memory 402659960 build_memory 436572776 build_memory 458739544 f_measure 0.290121 [0.565217,0.078431,0.031746,0.129032,0.183007,0.363636,0.338462,0.180328] f_measure 0.288726 [0.536585,0.117647,0.028986,0.15625,0.206452,0.349057,0.277778,0.16] f_measure 0.30757 [0.543536,0.19469,0.067797,0.15873,0.242424,0.337778,0.261538,0.164251] f_measure 0.291399 [0.548387,0.057692,0.0625,0.16,0.207317,0.350877,0.32,0.198198] f_measure 0.317089 [0.551724,0.165138,0.032258,0.114754,0.270588,0.434389,0.253968,0.184332] f_measure 0.297325 [0.497175,0.195122,0.033898,0.133333,0.227545,0.40367,0.274194,0.192469] f_measure 0.312306 [0.533693,0.136752,0.060606,0.162602,0.251497,0.413793,0.314961,0.165217] f_measure 0.285331 [0.524862,0.141593,0.1,0.242424,0.158537,0.297297,0.184874,0.172414] f_measure 0.300711 [0.502793,0.137931,0.09375,0.176,0.227545,0.410714,0.236111,0.194175] f_measure 0.320771 [0.552846,0.149533,0.086957,0.163934,0.277457,0.372093,0.306569,0.2] kappa 0.204258 kappa 0.191114 kappa 0.201965 kappa 0.201159 kappa 0.219134 kappa 0.199756 kappa 0.211201 kappa 0.175649 kappa 0.20081 kappa 0.223582 kb_relative_information_score 179.801715 kb_relative_information_score 171.748162 kb_relative_information_score 181.246362 kb_relative_information_score 180.20644 kb_relative_information_score 188.46068 kb_relative_information_score 175.217909 kb_relative_information_score 175.288185 kb_relative_information_score 160.692794 kb_relative_information_score 181.284748 kb_relative_information_score 200.077525 mean_absolute_error 0.17455 mean_absolute_error 0.176746 mean_absolute_error 0.173343 mean_absolute_error 0.174092 mean_absolute_error 0.170776 mean_absolute_error 0.176239 mean_absolute_error 0.175368 mean_absolute_error 0.179867 mean_absolute_error 0.174528 mean_absolute_error 0.167982 mean_prior_absolute_error 0.208134 mean_prior_absolute_error 0.20812 mean_prior_absolute_error 0.20812 mean_prior_absolute_error 0.208151 mean_prior_absolute_error 0.208152 mean_prior_absolute_error 0.208169 mean_prior_absolute_error 0.208169 mean_prior_absolute_error 0.208169 mean_prior_absolute_error 0.208205 mean_prior_absolute_error 0.208173 number_of_instances 702 [194,87,52,89,123,100,31,26] number_of_instances 702 [194,87,53,89,123,100,31,25] number_of_instances 702 [194,87,53,89,123,100,31,25] number_of_instances 702 [194,86,53,89,123,100,31,26] number_of_instances 702 [194,87,53,88,123,100,31,26] number_of_instances 702 [194,87,53,89,122,100,31,26] number_of_instances 702 [194,87,53,89,122,100,31,26] number_of_instances 702 [194,87,53,89,122,100,31,26] number_of_instances 702 [193,87,53,89,123,100,31,26] number_of_instances 701 [193,87,52,89,123,100,31,26] precision 0.376738 [0.597701,0.266667,0.090909,0.228571,0.466667,0.333333,0.222222,0.100917] precision 0.388823 [0.565714,0.4,0.0625,0.25641,0.5,0.330357,0.176991,0.09] precision 0.403375 [0.556757,0.423077,0.333333,0.27027,0.47619,0.304,0.171717,0.093407] precision 0.35844 [0.573034,0.166667,0.181818,0.277778,0.414634,0.3125,0.212766,0.112245] precision 0.395518 [0.568306,0.409091,0.111111,0.205882,0.489362,0.396694,0.168421,0.104712] precision 0.377172 [0.55,0.333333,0.166667,0.258065,0.422222,0.372881,0.182796,0.107981] precision 0.38836 [0.559322,0.266667,0.153846,0.294118,0.466667,0.407767,0.208333,0.093137] precision 0.375374 [0.565476,0.307692,0.428571,0.372093,0.309524,0.270492,0.125,0.097087] precision 0.382742 [0.545455,0.275862,0.272727,0.305556,0.431818,0.370968,0.150442,0.111111] precision 0.407603 [0.579545,0.4,0.176471,0.30303,0.48,0.347826,0.198113,0.11413] predictive_accuracy 0.306268 predictive_accuracy 0.294872 predictive_accuracy 0.310541 predictive_accuracy 0.307692 predictive_accuracy 0.324786 predictive_accuracy 0.301994 predictive_accuracy 0.314815 predictive_accuracy 0.283476 predictive_accuracy 0.304843 predictive_accuracy 0.326676 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 prior_entropy 2.759053 recall 0.306268 [0.536082,0.045977,0.019231,0.089888,0.113821,0.4,0.709677,0.846154] recall 0.294872 [0.510309,0.068966,0.018868,0.11236,0.130081,0.37,0.645161,0.72] recall 0.310541 [0.530928,0.126437,0.037736,0.11236,0.162602,0.38,0.548387,0.68] recall 0.307692 [0.525773,0.034884,0.037736,0.11236,0.138211,0.4,0.645161,0.846154] recall 0.324786 [0.536082,0.103448,0.018868,0.079545,0.186992,0.48,0.516129,0.769231] recall 0.301994 [0.453608,0.137931,0.018868,0.089888,0.155738,0.44,0.548387,0.884615] recall 0.314815 [0.510309,0.091954,0.037736,0.11236,0.172131,0.42,0.645161,0.730769] recall 0.283476 [0.489691,0.091954,0.056604,0.179775,0.106557,0.33,0.354839,0.769231] recall 0.304843 [0.466321,0.091954,0.056604,0.123596,0.154472,0.46,0.548387,0.769231] recall 0.326676 [0.528497,0.091954,0.057692,0.11236,0.195122,0.4,0.677419,0.807692] relative_absolute_error 0.838643 relative_absolute_error 0.849249 relative_absolute_error 0.832898 relative_absolute_error 0.836371 relative_absolute_error 0.82044 relative_absolute_error 0.846613 relative_absolute_error 0.842431 relative_absolute_error 0.864044 relative_absolute_error 0.838247 relative_absolute_error 0.806937 root_mean_prior_squared_error 0.322567 root_mean_prior_squared_error 0.322546 root_mean_prior_squared_error 0.322546 root_mean_prior_squared_error 0.322594 root_mean_prior_squared_error 0.322596 root_mean_prior_squared_error 0.322622 root_mean_prior_squared_error 0.322622 root_mean_prior_squared_error 0.322622 root_mean_prior_squared_error 0.322678 root_mean_prior_squared_error 0.322627 root_mean_squared_error 0.38684 root_mean_squared_error 0.388425 root_mean_squared_error 0.383724 root_mean_squared_error 0.387396 root_mean_squared_error 0.380211 root_mean_squared_error 0.388027 root_mean_squared_error 0.384607 root_mean_squared_error 0.391614 root_mean_squared_error 0.383474 root_mean_squared_error 0.375893 root_relative_squared_error 1.199253 root_relative_squared_error 1.204245 root_relative_squared_error 1.189672 root_relative_squared_error 1.200877 root_relative_squared_error 1.178598 root_relative_squared_error 1.202729 root_relative_squared_error 1.192128 root_relative_squared_error 1.213846 root_relative_squared_error 1.188412 root_relative_squared_error 1.165099 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