OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2943 Supervised Classification braziltourism 176 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.6724, kappa: 0.0002, kb_relative_information_score: 48.0892, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6114, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.0019, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7124, kappa: 0.1814, kb_relative_information_score: 351.738, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6868, predictive_accuracy: 0.7505, prior_entropy: 1.1781, recall: 0.7505, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2367, root_relative_squared_error: 1.0179, scimark_benchmark: 851.2074, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 916.0735, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7104, kappa: 0.1632, kb_relative_information_score: 621.1128, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7075, predictive_accuracy: 0.7745, prior_entropy: 1.1781, recall: 0.7745, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9623, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7088, kappa: 0.1697, kb_relative_information_score: 510.6129, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6887, predictive_accuracy: 0.7483, prior_entropy: 1.1781, recall: 0.7483, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0104, scimark_benchmark: 931.771, usercpu_time_millis: 140, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 938.5498, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6968, kappa: 0.1281, kb_relative_information_score: 551.6682, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6708, predictive_accuracy: 0.7658, prior_entropy: 1.1781, recall: 0.7658, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9875, scimark_benchmark: 947.1781, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7088, kappa: 0.1697, kb_relative_information_score: 510.6129, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6887, predictive_accuracy: 0.7483, prior_entropy: 1.1781, recall: 0.7483, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0104, scimark_benchmark: 943.1009, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.6724, kappa: 0.0002, kb_relative_information_score: 48.0892, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6114, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.0019, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7124, kappa: 0.1814, kb_relative_information_score: 352.1227, mean_absolute_error: 0.0969, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6868, predictive_accuracy: 0.7505, prior_entropy: 1.1781, recall: 0.7505, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2366, root_relative_squared_error: 1.0179, scimark_benchmark: 936.2574, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 943.6618, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 930.404, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.7104, kappa: 0.1632, kb_relative_information_score: 621.1128, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7075, predictive_accuracy: 0.7745, prior_entropy: 1.1781, recall: 0.7745, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2237, root_relative_squared_error: 0.9623, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6968, kappa: 0.1281, kb_relative_information_score: 551.6682, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6708, predictive_accuracy: 0.7658, prior_entropy: 1.1781, recall: 0.7658, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9875, scimark_benchmark: 903.2737, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7088, kappa: 0.1697, kb_relative_information_score: 510.6129, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6887, predictive_accuracy: 0.7483, prior_entropy: 1.1781, recall: 0.7483, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0104, scimark_benchmark: 917.5013, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.6968, kappa: 0.1203, kb_relative_information_score: 476.0189, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6677, predictive_accuracy: 0.7709, prior_entropy: 1.1781, recall: 0.7709, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.9627, scimark_benchmark: 972.587, usercpu_time_millis: 4880, usercpu_time_millis_testing: 1960, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6956, kappa: 0.116, kb_relative_information_score: 472.097, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6631, predictive_accuracy: 0.7701, prior_entropy: 1.1781, recall: 0.7701, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9631, scimark_benchmark: 940.1541, usercpu_time_millis: 1360, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7102, f_measure: 0.6953, kappa: 0.1133, kb_relative_information_score: 453.2308, mean_absolute_error: 0.0986, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6635, predictive_accuracy: 0.7706, prior_entropy: 1.1781, recall: 0.7706, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9659, scimark_benchmark: 906.8974, usercpu_time_millis: 720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7029, f_measure: 0.6958, kappa: 0.1211, kb_relative_information_score: 456.5963, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6657, predictive_accuracy: 0.7701, prior_entropy: 1.1781, recall: 0.7701, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.9699, scimark_benchmark: 896.2181, usercpu_time_millis: 340, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6973, kappa: 0.1209, kb_relative_information_score: 438.8404, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6672, predictive_accuracy: 0.7663, prior_entropy: 1.1781, recall: 0.7663, relative_absolute_error: 0.8918, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.975, scimark_benchmark: 889.4922, usercpu_time_millis: 220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.6725, kb_relative_information_score: -16.0782, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2326, root_relative_squared_error: 1.0003, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6896, kappa: 0.0878, kb_relative_information_score: -2842.2404, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6513, predictive_accuracy: 0.7757, prior_entropy: 1.1781, recall: 0.7757, relative_absolute_error: 1.6773, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.2019, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6896, kappa: 0.0878, kb_relative_information_score: -2842.2404, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6513, predictive_accuracy: 0.7757, prior_entropy: 1.1781, recall: 0.7757, relative_absolute_error: 1.6773, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.2019, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6896, kappa: 0.0878, kb_relative_information_score: -2842.2404, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6513, predictive_accuracy: 0.7757, prior_entropy: 1.1781, recall: 0.7757, relative_absolute_error: 1.6773, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.2019, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.6896, kappa: 0.0878, kb_relative_information_score: -2842.2404, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6513, predictive_accuracy: 0.7757, prior_entropy: 1.1781, recall: 0.7757, relative_absolute_error: 1.6773, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2794, root_relative_squared_error: 1.2019, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.6886, kappa: 0.0793, kb_relative_information_score: -2048.0633, mean_absolute_error: 0.1639, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6559, predictive_accuracy: 0.775, prior_entropy: 1.1781, recall: 0.775, relative_absolute_error: 1.485, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2656, root_relative_squared_error: 1.1426, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6725, kb_relative_information_score: 919.2072, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.5907, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2553, root_relative_squared_error: 1.0982, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.6736, kappa: 0.0051, kb_relative_information_score: 208.4393, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.623, predictive_accuracy: 0.766, prior_entropy: 1.1781, recall: 0.766, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2288, root_relative_squared_error: 0.9842, scimark_benchmark: 906.0884, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5703, f_measure: 0.6815, kappa: 0.0776, kb_relative_information_score: -721.9419, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6567, predictive_accuracy: 0.7313, prior_entropy: 1.1781, recall: 0.7313, relative_absolute_error: 1.188, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2477, root_relative_squared_error: 1.0654, scimark_benchmark: 936.7286, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6097, f_measure: 0.6725, kb_relative_information_score: 152.9362, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9916, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.6724, kappa: 0.0002, kb_relative_information_score: 48.0892, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6114, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.0019, scimark_benchmark: 926.4745,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 890.5596, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.7124, kappa: 0.1814, kb_relative_information_score: 351.738, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6868, predictive_accuracy: 0.7505, prior_entropy: 1.1781, recall: 0.7505, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2367, root_relative_squared_error: 1.0179, scimark_benchmark: 1321.8321, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 1334.9442, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1364.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6968, kappa: 0.1281, kb_relative_information_score: 551.6682, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6708, predictive_accuracy: 0.7658, prior_entropy: 1.1781, recall: 0.7658, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9875, scimark_benchmark: 1352.9931, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7088, kappa: 0.1697, kb_relative_information_score: 510.6129, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6887, predictive_accuracy: 0.7483, prior_entropy: 1.1781, recall: 0.7483, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0104, scimark_benchmark: 1280.9535, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.474, f_measure: 0.6724, kappa: 0.0002, kb_relative_information_score: 48.0892, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6114, predictive_accuracy: 0.7704, prior_entropy: 1.1781, recall: 0.7704, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.0019, scimark_benchmark: 1299.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 1337.1928, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1340.5125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1373.7859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 1321.8132, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6968, kappa: 0.1281, kb_relative_information_score: 551.6682, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6708, predictive_accuracy: 0.7658, prior_entropy: 1.1781, recall: 0.7658, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9875, scimark_benchmark: 1281.7531, usercpu_time_millis: 230, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7088, kappa: 0.1697, kb_relative_information_score: 510.6129, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6887, predictive_accuracy: 0.7483, prior_entropy: 1.1781, recall: 0.7483, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2349, root_relative_squared_error: 1.0104, scimark_benchmark: 1322.7257, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6124, f_measure: 0.6867, kappa: 0.0828, kb_relative_information_score: -92.2704, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6358, predictive_accuracy: 0.7677, prior_entropy: 1.1781, recall: 0.7677, relative_absolute_error: 1.0374, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.242, root_relative_squared_error: 1.041, scimark_benchmark: 1320.9387, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6966, kappa: 0.1305, kb_relative_information_score: 470.272, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6798, predictive_accuracy: 0.7711, prior_entropy: 1.1781, recall: 0.7711, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.978, scimark_benchmark: 1315.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6968, kappa: 0.1281, kb_relative_information_score: 551.6682, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6708, predictive_accuracy: 0.7658, prior_entropy: 1.1781, recall: 0.7658, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2296, root_relative_squared_error: 0.9875, scimark_benchmark: 1312.0581, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5189, f_measure: 0.6921, kappa: 0.0598, kb_relative_information_score: 994.9712, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.7265, predictive_accuracy: 0.7789, prior_entropy: 1.1781, recall: 0.7789, relative_absolute_error: 0.5725, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2513, root_relative_squared_error: 1.0811, scimark_benchmark: 1350.073, usercpu_time_millis: 320, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6966, kappa: 0.1305, kb_relative_information_score: 470.272, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6798, predictive_accuracy: 0.7711, prior_entropy: 1.1781, recall: 0.7711, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.978, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6535, f_measure: 0.6997, kappa: 0.144, kb_relative_information_score: 536.1071, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6789, predictive_accuracy: 0.7723, prior_entropy: 1.1781, recall: 0.7723, relative_absolute_error: 0.8737, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.9752, scimark_benchmark: 1322.7383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6607, f_measure: 0.6966, kappa: 0.1305, kb_relative_information_score: 470.272, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1103, number_of_instances: 4120, precision: 0.6798, predictive_accuracy: 0.7711, prior_entropy: 1.1781, recall: 0.7711, relative_absolute_error: 0.8818, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2274, root_relative_squared_error: 0.978, scimark_benchmark: 1335.643,

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