OpenML
Supervised Classification on braziltourism

Supervised Classification on braziltourism

Task 2078 Supervised Classification braziltourism 521 runs submitted
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  • study_1 study_107 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.6725, kb_relative_information_score: -333.9599, mean_absolute_error: 0.2091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.8952, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3094, root_relative_squared_error: 1.331, scimark_benchmark: 915.6729, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.6977, kappa: 0.1162, kb_relative_information_score: -328.7849, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7051, predictive_accuracy: 0.7816, prior_entropy: 1.1781, recall: 0.7816, relative_absolute_error: 1.8901, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.3261, scimark_benchmark: 1318.1432, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5725, f_measure: 0.6785, kappa: 0.0431, kb_relative_information_score: -68.15, mean_absolute_error: 0.1323, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6162, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 1.199, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.1165, scimark_benchmark: 938.9967, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.5612, kappa: -0.0044, kb_relative_information_score: -121.3569, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6217, predictive_accuracy: 0.517, prior_entropy: 1.1781, recall: 0.517, relative_absolute_error: 1.2506, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.5979, scimark_benchmark: 912.5006, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6968, kappa: 0.1336, kb_relative_information_score: 44.5141, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7086, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.8873, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.9828, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6877, kappa: 0.1141, kb_relative_information_score: 50.0095, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6437, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.9911, scimark_benchmark: 1369.9744, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.7073, kappa: 0.1652, kb_relative_information_score: 45.8075, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6853, predictive_accuracy: 0.7476, prior_entropy: 1.1781, recall: 0.7476, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2363, root_relative_squared_error: 1.0166, scimark_benchmark: 1315.0767, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.654, kappa: 0.0975, kb_relative_information_score: -4.0422, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6582, predictive_accuracy: 0.6505, prior_entropy: 1.1781, recall: 0.6505, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.3194, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.6992, kappa: 0.1238, kb_relative_information_score: 45.1223, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6786, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.9914, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5018, f_measure: 0.6761, kappa: 0.0304, kb_relative_information_score: 12.3523, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6068, predictive_accuracy: 0.767, prior_entropy: 1.1781, recall: 0.767, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2332, root_relative_squared_error: 1.0031, scimark_benchmark: 1073.494, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5673, f_measure: 0.6715, kappa: 0.0995, kb_relative_information_score: 26.8034, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6554, predictive_accuracy: 0.6893, prior_entropy: 1.1781, recall: 0.6893, relative_absolute_error: 0.8044, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2979, root_relative_squared_error: 1.2815, scimark_benchmark: 1327.8711, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4311, f_measure: 0.4355, kappa: -0.0709, kb_relative_information_score: -229.328, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5682, predictive_accuracy: 0.3859, prior_entropy: 1.1781, recall: 0.3859, relative_absolute_error: 1.59, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.8017, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7116, kappa: 0.1879, kb_relative_information_score: 51.6806, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6943, predictive_accuracy: 0.7403, prior_entropy: 1.1781, recall: 0.7403, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2412, root_relative_squared_error: 1.0375, scimark_benchmark: 1358.4523, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.6774, kappa: 0.0498, kb_relative_information_score: 85.454, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.612, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.6159, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2607, root_relative_squared_error: 1.1213, scimark_benchmark: 1466.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5913, f_measure: 0.6906, kappa: 0.1207, kb_relative_information_score: 60.8861, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6629, predictive_accuracy: 0.7306, prior_entropy: 1.1781, recall: 0.7306, relative_absolute_error: 0.7065, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.267, root_relative_squared_error: 1.1483, scimark_benchmark: 921.8984, usercpu_time_millis: 25290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 25260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.6879, kappa: 0.1604, kb_relative_information_score: 53.8321, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.7096, predictive_accuracy: 0.7112, prior_entropy: 1.1781, recall: 0.7112, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2873, root_relative_squared_error: 1.2356, scimark_benchmark: 1392.1129, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, 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: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5059, f_measure: 0.6871, kappa: 0.0672, kb_relative_information_score: 16.5414, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6524, predictive_accuracy: 0.7621, prior_entropy: 1.1781, recall: 0.7621, relative_absolute_error: 0.9483, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.239, root_relative_squared_error: 1.0279, scimark_benchmark: 1054.3694, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -301.8245, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.7366, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.2325, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -301.8245, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.7366, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.2325, scimark_benchmark: 942.6953, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5881, f_measure: 0.6668, kappa: 0.1009, kb_relative_information_score: -301.8245, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.652, predictive_accuracy: 0.7063, prior_entropy: 1.1781, recall: 0.7063, relative_absolute_error: 1.7366, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2865, root_relative_squared_error: 1.2325, scimark_benchmark: 941.7954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 922.9039, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 911.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -276.2959, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.6594, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2784, root_relative_squared_error: 1.1977, scimark_benchmark: 938.2848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.6851, kappa: 0.0702, kb_relative_information_score: -199.3786, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6194, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 1.478, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2653, root_relative_squared_error: 1.1413, scimark_benchmark: 923.7642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6511, f_measure: 0.7055, kappa: 0.1732, kb_relative_information_score: 54.2658, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6857, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 0.796, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.251, root_relative_squared_error: 1.0798, scimark_benchmark: 938.4285, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.6992, kappa: 0.1441, kb_relative_information_score: 47.0047, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6765, predictive_accuracy: 0.7354, prior_entropy: 1.1781, recall: 0.7354, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2463, root_relative_squared_error: 1.0595, scimark_benchmark: 933.1776, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6674, f_measure: 0.6931, kappa: 0.1254, kb_relative_information_score: 45.9612, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.661, predictive_accuracy: 0.7403, prior_entropy: 1.1781, recall: 0.7403, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2391, root_relative_squared_error: 1.0283, scimark_benchmark: 924.6116, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7037, kappa: 0.1519, kb_relative_information_score: 44.9182, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6749, predictive_accuracy: 0.7524, prior_entropy: 1.1781, recall: 0.7524, relative_absolute_error: 0.8487, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2327, root_relative_squared_error: 1.0009, scimark_benchmark: 932.3943, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6964, kappa: 0.1295, kb_relative_information_score: 45.3508, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6596, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.9944, scimark_benchmark: 938.9865, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, 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: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.6799, kappa: 0.1259, kb_relative_information_score: 22.0133, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6678, predictive_accuracy: 0.6942, prior_entropy: 1.1781, recall: 0.6942, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2617, root_relative_squared_error: 1.1257, scimark_benchmark: 929.566, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.6725, kb_relative_information_score: -1.6113, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1103, number_of_instances: 412, 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: 929.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.7027, kappa: 0.1275, kb_relative_information_score: 27.8245, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.703, predictive_accuracy: 0.7791, prior_entropy: 1.1781, recall: 0.7791, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.9873, scimark_benchmark: 901.0726, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6725, kb_relative_information_score: 91.9207, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.1103, number_of_instances: 412, 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: 902.4773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6126, f_measure: 0.6662, kappa: -0.0171, kb_relative_information_score: 17.448, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5946, predictive_accuracy: 0.7573, prior_entropy: 1.1781, recall: 0.7573, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.9919, scimark_benchmark: 943.2745, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6027, f_measure: 0.6725, kb_relative_information_score: 12.8706, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.5957, predictive_accuracy: 0.7718, prior_entropy: 1.1781, recall: 0.7718, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.9924, scimark_benchmark: 901.0726,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, build_cpu_time: 3.4966, build_memory: 52869413.5534, f_measure: 0.6983, kappa: 0.1172, kb_relative_information_score: -131.2403, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6763, predictive_accuracy: 0.7694, prior_entropy: 1.1781, recall: 0.7694, relative_absolute_error: 1.3146, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2434, root_relative_squared_error: 1.0468, scimark_benchmark: 927.3354,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5867, build_cpu_time: 157.4131, build_memory: 1419488457.2039, f_measure: 0.6805, kappa: 0.1241, kb_relative_information_score: 46.8306, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6649, predictive_accuracy: 0.699, prior_entropy: 1.1781, recall: 0.699, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2909, root_relative_squared_error: 1.2511, scimark_benchmark: 907.4175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5864, build_cpu_time: 79.4374, build_memory: 1630849770.835, f_measure: 0.6863, kappa: 0.1413, kb_relative_information_score: 43.958, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6718, predictive_accuracy: 0.7039, prior_entropy: 1.1781, recall: 0.7039, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2906, root_relative_squared_error: 1.2498, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, build_cpu_time: 43.1223, build_memory: 1843870704.0971, f_measure: 0.692, kappa: 0.171, kb_relative_information_score: 45.0516, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6834, predictive_accuracy: 0.7015, prior_entropy: 1.1781, recall: 0.7015, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2902, root_relative_squared_error: 1.2481, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, build_cpu_time: 19.068, build_memory: 637065879.8835, f_measure: 0.6733, kappa: 0.1214, kb_relative_information_score: 28.9696, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6653, predictive_accuracy: 0.682, prior_entropy: 1.1781, recall: 0.682, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2955, root_relative_squared_error: 1.2711, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6401, build_cpu_time: 9.5574, build_memory: 1089369303.8641, f_measure: 0.6698, kappa: 0.1146, kb_relative_information_score: 17.7089, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6628, predictive_accuracy: 0.6772, prior_entropy: 1.1781, recall: 0.6772, relative_absolute_error: 0.8447, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.293, root_relative_squared_error: 1.2604, scimark_benchmark: 924.2473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, build_cpu_time: 0.8783, build_memory: 1332953008.8155, f_measure: 0.7046, kappa: 0.1564, kb_relative_information_score: -86.8691, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6823, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.2392, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2401, root_relative_squared_error: 1.0328, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, build_cpu_time: 0.9797, build_memory: 191027279.1262, f_measure: 0.7053, kappa: 0.1605, kb_relative_information_score: -84.7041, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6827, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0309, scimark_benchmark: 942.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, build_cpu_time: 0.8282, build_memory: 1175629586.699, f_measure: 0.7053, kappa: 0.1605, kb_relative_information_score: -84.7041, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6827, predictive_accuracy: 0.7451, prior_entropy: 1.1781, recall: 0.7451, relative_absolute_error: 1.233, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2397, root_relative_squared_error: 1.0309, scimark_benchmark: 874.7324,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, build_cpu_time: 0.2161, build_memory: 477386922.8932, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.5958, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 914.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, build_cpu_time: 0.2109, build_memory: 437832519.2233, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.5958, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, build_cpu_time: 0.2042, build_memory: 2491405925.6311, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.5958, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 916.8516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, build_cpu_time: 0.2299, build_memory: 892649446.932, f_measure: 0.6824, kappa: 0.0811, kb_relative_information_score: -17.6119, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6486, predictive_accuracy: 0.733, prior_entropy: 1.1781, recall: 0.733, relative_absolute_error: 1.0113, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2414, root_relative_squared_error: 1.0382, scimark_benchmark: 917.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6515, build_cpu_time: 0.2359, build_memory: 941153030.9515, f_measure: 0.683, kappa: 0.0788, kb_relative_information_score: -24.4869, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6487, predictive_accuracy: 0.7354, prior_entropy: 1.1781, recall: 0.7354, relative_absolute_error: 1.0424, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2389, root_relative_squared_error: 1.0276, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, build_cpu_time: 0.0702, build_memory: 351147811.068, f_measure: 0.669, kappa: 0.0992, kb_relative_information_score: 32.1958, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6569, predictive_accuracy: 0.682, prior_entropy: 1.1781, recall: 0.682, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2848, root_relative_squared_error: 1.2249, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6086, build_cpu_time: 0.0932, build_memory: 82795638.8738, f_measure: 0.6803, kappa: 0.127, kb_relative_information_score: 40.158, mean_absolute_error: 0.0882, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6729, predictive_accuracy: 0.6917, prior_entropy: 1.1781, recall: 0.6917, relative_absolute_error: 0.7993, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2897, root_relative_squared_error: 1.2462, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, build_cpu_time: 0.2163, build_memory: 754495899.1068, f_measure: 0.6724, kappa: 0.118, kb_relative_information_score: 25.8876, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6659, predictive_accuracy: 0.6796, prior_entropy: 1.1781, recall: 0.6796, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.2849, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6036, build_cpu_time: 0.5559, build_memory: 943744555.6505, f_measure: 0.6825, kappa: 0.1454, kb_relative_information_score: 35.9545, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.1103, number_of_instances: 412, precision: 0.6763, predictive_accuracy: 0.6893, prior_entropy: 1.1781, recall: 0.6893, relative_absolute_error: 0.8027, root_mean_prior_squared_error: 0.2325, root_mean_squared_error: 0.2964, root_relative_squared_error: 1.2748, scimark_benchmark: 908.8705,

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