OpenML
Supervised Classification on kdd_ipums_la_97-small

Supervised Classification on kdd_ipums_la_97-small

Task 4561 Supervised Classification kdd_ipums_la_97-small 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 60821.1445, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3849, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9782, kappa: 0.9536, kb_relative_information_score: 60419.5127, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9793, predictive_accuracy: 0.9781, prior_entropy: 0.9504, recall: 0.9781, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3268, scimark_benchmark: 972.587, usercpu_time_millis: 1640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 37417.8613, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6542, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 941.3142, usercpu_time_millis: 127870, usercpu_time_millis_testing: 28770, usercpu_time_millis_training: 99100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 941.6675, usercpu_time_millis: 520, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 941.6675, usercpu_time_millis: 660, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 941.6675, usercpu_time_millis: 540, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 938.191, usercpu_time_millis: 460, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9609, kappa: 0.917, kb_relative_information_score: 61011.8986, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9636, predictive_accuracy: 0.9606, prior_entropy: 0.9504, recall: 0.9606, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3901, scimark_benchmark: 938.191, usercpu_time_millis: 2450, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8489, kappa: 0.6945, kb_relative_information_score: 37372.2186, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.8858, predictive_accuracy: 0.8463, prior_entropy: 0.9504, recall: 0.8463, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6628, scimark_benchmark: 941.6675, usercpu_time_millis: 1115960, usercpu_time_millis_testing: 223160, usercpu_time_millis_training: 892800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.958, kappa: 0.9108, kb_relative_information_score: 63503.3633, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9603, predictive_accuracy: 0.9577, prior_entropy: 0.9504, recall: 0.9577, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4121, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9599, kappa: 0.915, kb_relative_information_score: 54576.6942, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9631, predictive_accuracy: 0.9596, prior_entropy: 0.9504, recall: 0.9596, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4291, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 941.3847, usercpu_time_millis: 168510, usercpu_time_millis_testing: 25580, usercpu_time_millis_training: 142930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9599, kappa: 0.915, kb_relative_information_score: 54576.6942, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9631, predictive_accuracy: 0.9596, prior_entropy: 0.9504, recall: 0.9596, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4291, scimark_benchmark: 974.2014, usercpu_time_millis: 7030, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 5510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 60821.1445, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3849, scimark_benchmark: 942.2392, usercpu_time_millis: 1630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9782, kappa: 0.9536, kb_relative_information_score: 60419.5127, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9793, predictive_accuracy: 0.9781, prior_entropy: 0.9504, recall: 0.9781, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3268, scimark_benchmark: 901.6243, usercpu_time_millis: 1310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 37417.8613, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6542, scimark_benchmark: 934.695, usercpu_time_millis: 25760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 940.1221, usercpu_time_millis: 119660, usercpu_time_millis_testing: 28310, usercpu_time_millis_training: 91350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9779, kappa: 0.9528, kb_relative_information_score: 63018.5673, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9789, predictive_accuracy: 0.9778, prior_entropy: 0.9504, recall: 0.9778, relative_absolute_error: 0.1168, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.3028, scimark_benchmark: 908.9569, usercpu_time_millis: 4524280, usercpu_time_millis_testing: 1371070, usercpu_time_millis_training: 3153210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 859.5223, usercpu_time_millis: 142240, usercpu_time_millis_testing: 35330, usercpu_time_millis_training: 106910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 930.404, usercpu_time_millis: 550, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9609, kappa: 0.917, kb_relative_information_score: 61011.8986, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9636, predictive_accuracy: 0.9606, prior_entropy: 0.9504, recall: 0.9606, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.3901, scimark_benchmark: 903.2737, usercpu_time_millis: 2300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.958, kappa: 0.9108, kb_relative_information_score: 63503.3633, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9603, predictive_accuracy: 0.9577, prior_entropy: 0.9504, recall: 0.9577, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4121, scimark_benchmark: 936.3213, usercpu_time_millis: 370150, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 369840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 936.9595, usercpu_time_millis: 530, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9599, kappa: 0.915, kb_relative_information_score: 54576.6942, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9631, predictive_accuracy: 0.9596, prior_entropy: 0.9504, recall: 0.9596, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4291, scimark_benchmark: 901.4991, usercpu_time_millis: 6030, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 5140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9779, kappa: 0.9528, kb_relative_information_score: 63012.3456, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9788, predictive_accuracy: 0.9778, prior_entropy: 0.9504, recall: 0.9778, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1468, root_relative_squared_error: 0.304, scimark_benchmark: 859.5223, usercpu_time_millis: 1662320, usercpu_time_millis_testing: 487880, usercpu_time_millis_training: 1174440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9777, kappa: 0.9525, kb_relative_information_score: 62935.9755, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9787, predictive_accuracy: 0.9776, prior_entropy: 0.9504, recall: 0.9776, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3069, scimark_benchmark: 934.5964, usercpu_time_millis: 846740, usercpu_time_millis_testing: 243360, usercpu_time_millis_training: 603380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9769, kappa: 0.9508, kb_relative_information_score: 62709.7178, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9779, predictive_accuracy: 0.9768, prior_entropy: 0.9504, recall: 0.9768, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.3137, scimark_benchmark: 939.3535, usercpu_time_millis: 406690, usercpu_time_millis_testing: 127990, usercpu_time_millis_training: 278700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.976, kappa: 0.9487, kb_relative_information_score: 62723.7606, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9768, predictive_accuracy: 0.9759, prior_entropy: 0.9504, recall: 0.9759, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.3194, scimark_benchmark: 862.7006, usercpu_time_millis: 191200, usercpu_time_millis_testing: 57960, usercpu_time_millis_training: 133240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9773, kappa: 0.9517, kb_relative_information_score: 64146.8488, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9785, predictive_accuracy: 0.9772, prior_entropy: 0.9504, recall: 0.9772, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2997, scimark_benchmark: 936.1714, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9773, kappa: 0.9517, kb_relative_information_score: 64146.8488, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9785, predictive_accuracy: 0.9772, prior_entropy: 0.9504, recall: 0.9772, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2997, scimark_benchmark: 930.0565, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9773, kappa: 0.9517, kb_relative_information_score: 64146.8488, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9785, predictive_accuracy: 0.9772, prior_entropy: 0.9504, recall: 0.9772, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2997, scimark_benchmark: 894.7131, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9773, kappa: 0.9517, kb_relative_information_score: 64146.8488, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9785, predictive_accuracy: 0.9772, prior_entropy: 0.9504, recall: 0.9772, relative_absolute_error: 0.0974, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.2997, scimark_benchmark: 929.0296, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9774, kappa: 0.9518, kb_relative_information_score: 63729.6876, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9783, predictive_accuracy: 0.9773, prior_entropy: 0.9504, recall: 0.9773, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.3043, scimark_benchmark: 941.9549, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9258, kappa: 0.8422, kb_relative_information_score: 58662.5498, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9279, predictive_accuracy: 0.9253, prior_entropy: 0.9504, recall: 0.9253, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5463, scimark_benchmark: 1346.2927, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.958, kappa: 0.9108, kb_relative_information_score: 63503.3633, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9603, predictive_accuracy: 0.9577, prior_entropy: 0.9504, recall: 0.9577, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4121, scimark_benchmark: 1375.1578, usercpu_time_millis: 431000, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 430330,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9599, kappa: 0.915, kb_relative_information_score: 54576.6942, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9631, predictive_accuracy: 0.9596, prior_entropy: 0.9504, recall: 0.9596, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4291, scimark_benchmark: 1317.2327, usercpu_time_millis: 5530, usercpu_time_millis_testing: 920, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8489, kappa: 0.6945, kb_relative_information_score: 37372.2186, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.8858, predictive_accuracy: 0.8463, prior_entropy: 0.9504, recall: 0.8463, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6628, scimark_benchmark: 1344.3409, usercpu_time_millis: 441200, usercpu_time_millis_testing: 161850, usercpu_time_millis_training: 279350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5055, kappa: 0.0222, kb_relative_information_score: 13587.9175, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.6556, predictive_accuracy: 0.6353, prior_entropy: 0.9504, recall: 0.6353, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.251, scimark_benchmark: 1332.7986, usercpu_time_millis: 236460, usercpu_time_millis_testing: 42440, usercpu_time_millis_training: 194020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 1316.6799, usercpu_time_millis: 310, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9599, kappa: 0.915, kb_relative_information_score: 54576.6942, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9631, predictive_accuracy: 0.9596, prior_entropy: 0.9504, recall: 0.9596, relative_absolute_error: 0.2525, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4291, scimark_benchmark: 1346.2927, usercpu_time_millis: 5860, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9658, kappa: 0.9267, kb_relative_information_score: 64744.9472, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.9504, recall: 0.9658, relative_absolute_error: 0.076, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.372, scimark_benchmark: 1321.4771, usercpu_time_millis: 19120, usercpu_time_millis_testing: 460, usercpu_time_millis_training: 18660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 37417.8613, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.6542, scimark_benchmark: 1322.5413, usercpu_time_millis: 20120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9623, kappa: 0.9201, kb_relative_information_score: 60821.1445, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9655, predictive_accuracy: 0.962, prior_entropy: 0.9504, recall: 0.962, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3849, scimark_benchmark: 1331.7953, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9782, kappa: 0.9536, kb_relative_information_score: 60419.5127, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9793, predictive_accuracy: 0.9781, prior_entropy: 0.9504, recall: 0.9781, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1577, root_relative_squared_error: 0.3268, scimark_benchmark: 1335.5309, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9214, kappa: 0.8311, kb_relative_information_score: 57806.0693, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9213, predictive_accuracy: 0.9215, prior_entropy: 0.9504, recall: 0.9215, relative_absolute_error: 0.1725, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.2754, root_relative_squared_error: 0.5706, scimark_benchmark: 1318.3027, usercpu_time_millis: 123910, usercpu_time_millis_testing: 16050, usercpu_time_millis_training: 107860,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9424, kappa: 0.8777, kb_relative_information_score: 60682.0747, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.945, predictive_accuracy: 0.9419, prior_entropy: 0.9504, recall: 0.9419, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4703, scimark_benchmark: 1347.993, usercpu_time_millis: 370, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.958, kappa: 0.9108, kb_relative_information_score: 63503.3633, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.466, number_of_instances: 70190, precision: 0.9603, predictive_accuracy: 0.9577, prior_entropy: 0.9504, recall: 0.9577, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.1989, root_relative_squared_error: 0.4121, scimark_benchmark: 940.3347, usercpu_time_millis: 375220, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 374890,
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Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs