OpenML
Supervised Classification on ar1

Supervised Classification on ar1

Task 4614 Supervised Classification ar1 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -32.7705, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.0289, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.8852, kappa: 0.1489, kb_relative_information_score: -203.6873, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8829, predictive_accuracy: 0.8876, prior_entropy: 0.4067, recall: 0.8876, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3072, root_relative_squared_error: 1.1703, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -283.7005, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0672, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.889, kappa: -0.0032, kb_relative_information_score: -297.6986, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8567, predictive_accuracy: 0.924, prior_entropy: 0.4067, recall: 0.924, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9921, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.879, kappa: -0.0345, kb_relative_information_score: -227.6428, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8553, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.276, root_relative_squared_error: 1.0515, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 944.1067, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8848, kappa: 0.0176, kb_relative_information_score: -456.4863, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8658, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2733, root_relative_squared_error: 1.0414, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -32.7705, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.0289, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.8864, kappa: 0.0993, kb_relative_information_score: -246.4095, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8769, predictive_accuracy: 0.8975, prior_entropy: 0.4067, recall: 0.8975, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2727, root_relative_squared_error: 1.0389, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.8852, kappa: 0.1489, kb_relative_information_score: -203.6873, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8829, predictive_accuracy: 0.8876, prior_entropy: 0.4067, recall: 0.8876, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3072, root_relative_squared_error: 1.1703, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: 245.3745, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0787, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -283.7005, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0672, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.889, kappa: -0.0032, kb_relative_information_score: -297.6986, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8567, predictive_accuracy: 0.924, prior_entropy: 0.4067, recall: 0.924, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9921, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.879, kappa: -0.0345, kb_relative_information_score: -227.6428, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8553, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.276, root_relative_squared_error: 1.0515, scimark_benchmark: 930.404, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8848, kappa: 0.0176, kb_relative_information_score: -456.4863, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8658, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2733, root_relative_squared_error: 1.0414, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.8832, kappa: -0.023, kb_relative_information_score: -371.3166, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8558, predictive_accuracy: 0.9124, prior_entropy: 0.4067, recall: 0.9124, relative_absolute_error: 0.9117, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2798, root_relative_squared_error: 1.0659, scimark_benchmark: 819.5729, usercpu_time_millis: 2170, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 1210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6617, f_measure: 0.8836, kappa: -0.0217, kb_relative_information_score: -369.2757, mean_absolute_error: 0.1302, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8559, predictive_accuracy: 0.9132, prior_entropy: 0.4067, recall: 0.9132, relative_absolute_error: 0.9067, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.0656, scimark_benchmark: 1171.0303, usercpu_time_millis: 1430, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.8854, kappa: -0.0037, kb_relative_information_score: -391.7576, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8613, predictive_accuracy: 0.9141, prior_entropy: 0.4067, recall: 0.9141, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2812, root_relative_squared_error: 1.0712, scimark_benchmark: 937.5683, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6272, f_measure: 0.8836, kappa: -0.0217, kb_relative_information_score: -416.4609, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8559, predictive_accuracy: 0.9132, prior_entropy: 0.4067, recall: 0.9132, relative_absolute_error: 0.9179, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2832, root_relative_squared_error: 1.0791, scimark_benchmark: 917.2109, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.8815, kappa: -0.0278, kb_relative_information_score: -449.8324, mean_absolute_error: 0.1319, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8556, predictive_accuracy: 0.9091, prior_entropy: 0.4067, recall: 0.9091, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2861, root_relative_squared_error: 1.0901, scimark_benchmark: 920.5394, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.8756, kappa: -0.0425, kb_relative_information_score: -468.5958, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8548, predictive_accuracy: 0.8975, prior_entropy: 0.4067, recall: 0.8975, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0612, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.8756, kappa: -0.0425, kb_relative_information_score: -468.5958, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8548, predictive_accuracy: 0.8975, prior_entropy: 0.4067, recall: 0.8975, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0612, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.8756, kappa: -0.0425, kb_relative_information_score: -468.5958, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8548, predictive_accuracy: 0.8975, prior_entropy: 0.4067, recall: 0.8975, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0612, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6214, f_measure: 0.8756, kappa: -0.0425, kb_relative_information_score: -468.5958, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8548, predictive_accuracy: 0.8975, prior_entropy: 0.4067, recall: 0.8975, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2785, root_relative_squared_error: 1.0612, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1349.9643, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -283.7005, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0672, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.889, kappa: -0.0032, kb_relative_information_score: -297.6986, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8567, predictive_accuracy: 0.924, prior_entropy: 0.4067, recall: 0.924, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9921, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.879, kappa: -0.0345, kb_relative_information_score: -227.6428, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8553, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.276, root_relative_squared_error: 1.0515, scimark_benchmark: 1318.4315, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6762, f_measure: 0.879, kappa: -0.0345, kb_relative_information_score: -227.6428, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8553, predictive_accuracy: 0.9041, prior_entropy: 0.4067, recall: 0.9041, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.276, root_relative_squared_error: 1.0515, scimark_benchmark: 1313.5633, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1313.5633, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8848, kappa: 0.0176, kb_relative_information_score: -456.4863, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8658, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2733, root_relative_squared_error: 1.0414, scimark_benchmark: 1351.3088, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4468, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -32.7705, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2701, root_relative_squared_error: 1.0289, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5658, f_measure: 0.8808, kappa: 0.098, kb_relative_information_score: -511.381, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8759, predictive_accuracy: 0.886, prior_entropy: 0.4067, recall: 0.886, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3268, root_relative_squared_error: 1.2449, scimark_benchmark: 1367.3264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1346.0226, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5425, f_measure: 0.8805, kappa: -0.0065, kb_relative_information_score: -363.9945, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8611, predictive_accuracy: 0.9025, prior_entropy: 0.4067, recall: 0.9025, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2912, root_relative_squared_error: 1.1093, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6849, f_measure: 0.8852, kappa: 0.1489, kb_relative_information_score: -203.3947, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8829, predictive_accuracy: 0.8876, prior_entropy: 0.4067, recall: 0.8876, relative_absolute_error: 0.8425, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.3071, root_relative_squared_error: 1.1701, scimark_benchmark: 1321.4771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -283.7005, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0507, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0672, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4059, f_measure: 0.887, kappa: -0.0109, kb_relative_information_score: -273.2708, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8564, predictive_accuracy: 0.9198, prior_entropy: 0.4067, recall: 0.9198, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0621, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1344.3409, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8848, kappa: 0.0176, kb_relative_information_score: -456.4863, mean_absolute_error: 0.1238, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8658, predictive_accuracy: 0.9083, prior_entropy: 0.4067, recall: 0.9083, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2733, root_relative_squared_error: 1.0414, scimark_benchmark: 1345.7919, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.8842, kappa: 0.0749, kb_relative_information_score: -249.6549, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8734, predictive_accuracy: 0.8967, prior_entropy: 0.4067, recall: 0.8967, relative_absolute_error: 0.8452, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.273, root_relative_squared_error: 1.0399, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.663, f_measure: 0.8748, kappa: -0.0444, kb_relative_information_score: -407.677, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.1436, number_of_instances: 1210, precision: 0.8547, predictive_accuracy: 0.8959, prior_entropy: 0.4067, recall: 0.8959, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.2625, root_mean_squared_error: 0.2957, root_relative_squared_error: 1.1264, scimark_benchmark: 1338.0691, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

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

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From your own software

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

OpenML APIs