OpenML
Supervised Classification on pc4

Supervised Classification on pc4

Task 3902 Supervised Classification pc4 112802 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.8231, kappa: 0.0153, kb_relative_information_score: 26.8515, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8204, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9771, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.9894, scimark_benchmark: 1319.8156, usercpu_time_millis: 5.001, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8927, kappa: 0.4492, kb_relative_information_score: 377.381, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8303, scimark_benchmark: 1313.024, usercpu_time_millis: 4.708, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 364.4546, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7901, scimark_benchmark: 1336.3138, usercpu_time_millis: 132.001, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 131.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.8208, kb_relative_information_score: 1.1122, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3278, root_relative_squared_error: 1.0013, scimark_benchmark: 1339.1545, usercpu_time_millis: 5.217, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 5.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.7363, mean_absolute_error: 0.1404, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6539, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7919, scimark_benchmark: 1312.003, usercpu_time_millis: 207.565, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 207.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.8963, kappa: 0.4626, kb_relative_information_score: 413.5659, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9009, predictive_accuracy: 0.9102, prior_entropy: 0.5368, recall: 0.9102, relative_absolute_error: 0.6301, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8045, scimark_benchmark: 1305.1096, usercpu_time_millis: 4.988, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 4.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8948, kappa: 0.4596, kb_relative_information_score: 377.068, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8964, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.8083, scimark_benchmark: 1333.7688, usercpu_time_millis: 3.069, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 2.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8909, kappa: 0.4356, kb_relative_information_score: 359.1072, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8937, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.8233, scimark_benchmark: 1336.0409, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 4.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8973, kappa: 0.4732, kb_relative_information_score: 382.7918, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8992, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8075, scimark_benchmark: 1339.504, usercpu_time_millis: 4.428, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.8267, kappa: 0.0358, kb_relative_information_score: 25.8509, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8541, predictive_accuracy: 0.8793, prior_entropy: 0.5368, recall: 0.8793, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.9938, scimark_benchmark: 1309.2723, usercpu_time_millis: 5.713, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 5.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.897, kappa: 0.4579, kb_relative_information_score: 360.7615, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9096, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6548, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.7868, scimark_benchmark: 1319.6342, usercpu_time_millis: 13.042, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 12.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.8679, kappa: 0.2848, kb_relative_information_score: 290.5155, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.891, predictive_accuracy: 0.8971, prior_entropy: 0.5368, recall: 0.8971, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8862, scimark_benchmark: 1335.7552, usercpu_time_millis: 3.785, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 3.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8956, kappa: 0.466, kb_relative_information_score: 378.1497, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8963, predictive_accuracy: 0.9074, prior_entropy: 0.5368, recall: 0.9074, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.8223, scimark_benchmark: 1307.6899, usercpu_time_millis: 4.468, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 4.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5105, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: 0.3885, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3283, root_relative_squared_error: 1.0029, scimark_benchmark: 1307.6584, usercpu_time_millis: 4.638, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8988, kappa: 0.4716, kb_relative_information_score: 373.3055, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9073, predictive_accuracy: 0.9136, prior_entropy: 0.5368, recall: 0.9136, relative_absolute_error: 0.6411, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.7884, scimark_benchmark: 1319.3167, usercpu_time_millis: 4.082, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 4.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9008, kappa: 0.4833, kb_relative_information_score: 388.9295, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.909, predictive_accuracy: 0.915, prior_entropy: 0.5368, recall: 0.915, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.784, scimark_benchmark: 1336.2933, usercpu_time_millis: 5.365, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 5.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6282, f_measure: 0.8283, kappa: 0.0452, kb_relative_information_score: 32.7778, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8604, predictive_accuracy: 0.88, prior_entropy: 0.5368, recall: 0.88, relative_absolute_error: 0.9782, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9915, scimark_benchmark: 1336.1494, usercpu_time_millis: 4.121, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5803, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -69.8482, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9981, scimark_benchmark: 1338.067, usercpu_time_millis: 13.062, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 12.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.7844, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3289, root_relative_squared_error: 1.0045, scimark_benchmark: 1314.7848, usercpu_time_millis: 4.548, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.4272, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.79, scimark_benchmark: 1347.7127, usercpu_time_millis: 119.448, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 119.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.8993, kappa: 0.4742, kb_relative_information_score: 378.031, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9086, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7879, scimark_benchmark: 1348.0754, usercpu_time_millis: 4.401, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 4.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -0.921, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0037, scimark_benchmark: 1320.4836, usercpu_time_millis: 4.546, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.1608, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7919, scimark_benchmark: 1341.0895, usercpu_time_millis: 184.811, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 184.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8965, kappa: 0.4667, kb_relative_information_score: 375.5281, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8994, predictive_accuracy: 0.9095, prior_entropy: 0.5368, recall: 0.9095, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.8061, scimark_benchmark: 1341.4642, usercpu_time_millis: 3.156, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8918, kappa: 0.4425, kb_relative_information_score: 315.1657, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6867, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2705, root_relative_squared_error: 0.8263, scimark_benchmark: 1309.2108, usercpu_time_millis: 3.941, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 3.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8931, kappa: 0.4525, kb_relative_information_score: 383.3092, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6547, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.8302, scimark_benchmark: 1313.6555, usercpu_time_millis: 4.654, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8959, kappa: 0.4643, kb_relative_information_score: 378.3653, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6361, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.8085, scimark_benchmark: 1320.9616, usercpu_time_millis: 3.283, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8955, kappa: 0.4611, kb_relative_information_score: 382.9301, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8985, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6358, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2644, root_relative_squared_error: 0.8076, scimark_benchmark: 1317.8111, usercpu_time_millis: 3.303, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 3.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.895, kappa: 0.4637, kb_relative_information_score: 381.8686, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8954, predictive_accuracy: 0.9067, prior_entropy: 0.5368, recall: 0.9067, relative_absolute_error: 0.6497, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.8271, scimark_benchmark: 1335.2163, usercpu_time_millis: 4.292, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 4.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8928, kappa: 0.4482, kb_relative_information_score: 376.4202, mean_absolute_error: 0.1373, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8945, predictive_accuracy: 0.906, prior_entropy: 0.5368, recall: 0.906, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.81, scimark_benchmark: 1339.078, usercpu_time_millis: 3.23, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 3.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.8998, kappa: 0.4775, kb_relative_information_score: 374.3412, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9081, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7892, scimark_benchmark: 1310.1058, usercpu_time_millis: 3.949, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.8413, kappa: 0.1265, kb_relative_information_score: 122.9361, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8615, predictive_accuracy: 0.8834, prior_entropy: 0.5368, recall: 0.8834, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.9271, scimark_benchmark: 1305.8733, usercpu_time_millis: 6.291, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 6.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -135.1062, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9926, scimark_benchmark: 1317.8618, usercpu_time_millis: 13.521, usercpu_time_millis_testing: 0.212, usercpu_time_millis_training: 13.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 353.4313, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6605, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2595, root_relative_squared_error: 0.7926, scimark_benchmark: 1320.5665, usercpu_time_millis: 67.644, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 67.57,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.8375, kappa: 0.118, kb_relative_information_score: -17.4851, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8315, predictive_accuracy: 0.8745, prior_entropy: 0.5368, recall: 0.8745, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3099, root_relative_squared_error: 0.9465, scimark_benchmark: 1326.5374, usercpu_time_millis: 12.201, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 12.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.4962, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.79, scimark_benchmark: 1311.4692, usercpu_time_millis: 122.29, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 122.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8959, kappa: 0.4643, kb_relative_information_score: 375.3882, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8984, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6397, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8017, scimark_benchmark: 1313.947, usercpu_time_millis: 3.325, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 3.255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.8231, kappa: 0.0153, kb_relative_information_score: 22.4709, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8204, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9917, scimark_benchmark: 1333.4649, usercpu_time_millis: 5.045, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 4.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -1.9355, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.004, scimark_benchmark: 1332.5014, usercpu_time_millis: 4.328, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 4.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.8222, kappa: 0.0084, kb_relative_information_score: 3.8945, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8322, predictive_accuracy: 0.8779, prior_entropy: 0.5368, recall: 0.8779, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.9959, scimark_benchmark: 1331.8774, usercpu_time_millis: 5.786, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 5.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.8704, kappa: 0.3227, kb_relative_information_score: 278.7189, mean_absolute_error: 0.1528, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8693, predictive_accuracy: 0.8896, prior_entropy: 0.5368, recall: 0.8896, relative_absolute_error: 0.7117, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.8472, scimark_benchmark: 1329.262, usercpu_time_millis: 6.419, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 6.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7245, f_measure: 0.8298, kappa: 0.0576, kb_relative_information_score: -103.319, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8398, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9495, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.975, scimark_benchmark: 1329.6327, usercpu_time_millis: 14.304, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 14.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -150.7785, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3224, root_relative_squared_error: 0.9849, scimark_benchmark: 1309.4149, usercpu_time_millis: 14.645, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 14.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -55.4612, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.9967, scimark_benchmark: 1318.1627, usercpu_time_millis: 8.97, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 8.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8998, kappa: 0.4775, kb_relative_information_score: 374.1927, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9081, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7892, scimark_benchmark: 1306.1479, usercpu_time_millis: 3.981, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 3.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 33.6884, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9908, scimark_benchmark: 1300.1521, usercpu_time_millis: 4.188, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 4.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.8424, kappa: 0.148, kb_relative_information_score: 29.0633, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8387, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3042, root_relative_squared_error: 0.9291, scimark_benchmark: 1320.6823, usercpu_time_millis: 10.827, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 10.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 33.5308, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.978, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.9908, scimark_benchmark: 1333.5104, usercpu_time_millis: 4.401, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 4.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8966, kappa: 0.4716, kb_relative_information_score: 380.4997, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8973, predictive_accuracy: 0.9081, prior_entropy: 0.5368, recall: 0.9081, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.8249, scimark_benchmark: 1323.289, usercpu_time_millis: 4.326, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8959, kappa: 0.4518, kb_relative_information_score: 359.6693, mean_absolute_error: 0.1407, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9087, predictive_accuracy: 0.9129, prior_entropy: 0.5368, recall: 0.9129, relative_absolute_error: 0.655, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.787, scimark_benchmark: 1317.0333, usercpu_time_millis: 14.162, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 14.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -2.0421, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3287, root_relative_squared_error: 1.0039, scimark_benchmark: 1327.293, usercpu_time_millis: 4.737, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 4.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.888, kappa: 0.4166, kb_relative_information_score: 324.5015, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.892, predictive_accuracy: 0.904, prior_entropy: 0.5368, recall: 0.904, relative_absolute_error: 0.672, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.264, root_relative_squared_error: 0.8063, scimark_benchmark: 1318.2941, usercpu_time_millis: 5.447, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 5.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.9018, kappa: 0.4935, kb_relative_information_score: 408.7967, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9064, predictive_accuracy: 0.9143, prior_entropy: 0.5368, recall: 0.9143, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7997, scimark_benchmark: 1309.6038, usercpu_time_millis: 5.372, usercpu_time_millis_testing: 0.137, usercpu_time_millis_training: 5.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.898, kappa: 0.47, kb_relative_information_score: 370.9567, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9044, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7987, scimark_benchmark: 1326.2743, usercpu_time_millis: 3.382, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 3.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8267, kappa: 0.0393, kb_relative_information_score: 30.6371, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8284, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.9583, scimark_benchmark: 1318.8802, usercpu_time_millis: 9.965, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 9.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.8298, kappa: 0.0546, kb_relative_information_score: 80.2406, mean_absolute_error: 0.2033, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8653, predictive_accuracy: 0.8807, prior_entropy: 0.5368, recall: 0.8807, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.9696, scimark_benchmark: 1338.0318, usercpu_time_millis: 3.833, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.8251, kappa: 0.0263, kb_relative_information_score: 21.71, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8454, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.9947, scimark_benchmark: 1335.2687, usercpu_time_millis: 3.868, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.8238, kappa: 0.0181, kb_relative_information_score: -151.3755, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8531, predictive_accuracy: 0.8786, prior_entropy: 0.5368, recall: 0.8786, relative_absolute_error: 0.9674, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.9842, scimark_benchmark: 1323.777, usercpu_time_millis: 14.523, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 14.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9056, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 364.9942, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.7901, scimark_benchmark: 1327.876, usercpu_time_millis: 122.82, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 122.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.905, f_measure: 0.8951, kappa: 0.4577, kb_relative_information_score: 373.773, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8986, predictive_accuracy: 0.9088, prior_entropy: 0.5368, recall: 0.9088, relative_absolute_error: 0.6434, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.266, root_relative_squared_error: 0.8126, scimark_benchmark: 1313.5863, usercpu_time_millis: 3.257, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 3.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.902, kappa: 0.4884, kb_relative_information_score: 416.0362, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9116, predictive_accuracy: 0.9163, prior_entropy: 0.5368, recall: 0.9163, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2568, root_relative_squared_error: 0.7845, scimark_benchmark: 1317.7376, usercpu_time_millis: 4.506, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 4.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8972, kappa: 0.4632, kb_relative_information_score: 373.6897, mean_absolute_error: 0.1374, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9051, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7906, scimark_benchmark: 1326.5825, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 3.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8624, f_measure: 0.8603, kappa: 0.2398, kb_relative_information_score: 256.7604, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8843, predictive_accuracy: 0.893, prior_entropy: 0.5368, recall: 0.893, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8933, scimark_benchmark: 1314.9213, usercpu_time_millis: 4.197, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 4.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8949, kappa: 0.4457, kb_relative_information_score: 353.4049, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9079, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.7923, scimark_benchmark: 1340.3278, usercpu_time_millis: 61.432, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 61.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.8948, kappa: 0.4468, kb_relative_information_score: 360.1693, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9058, predictive_accuracy: 0.9115, prior_entropy: 0.5368, recall: 0.9115, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7919, scimark_benchmark: 1324.2166, usercpu_time_millis: 210.711, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 210.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8963, kappa: 0.4563, kb_relative_information_score: 365.5314, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.9061, predictive_accuracy: 0.9122, prior_entropy: 0.5368, recall: 0.9122, relative_absolute_error: 0.6496, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2586, root_relative_squared_error: 0.79, scimark_benchmark: 1317.478, usercpu_time_millis: 119.097, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 119.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.8205, kappa: -0.0014, kb_relative_information_score: -122.3394, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.7707, predictive_accuracy: 0.8772, prior_entropy: 0.5368, recall: 0.8772, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9951, scimark_benchmark: 1324.2747, usercpu_time_millis: 13.638, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 13.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.8424, kappa: 0.148, kb_relative_information_score: 61.6771, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8387, predictive_accuracy: 0.8765, prior_entropy: 0.5368, recall: 0.8765, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.9386, scimark_benchmark: 1327.5069, usercpu_time_millis: 14.88, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 14.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8931, kappa: 0.4525, kb_relative_information_score: 358.9523, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8935, predictive_accuracy: 0.9054, prior_entropy: 0.5368, recall: 0.9054, relative_absolute_error: 0.6488, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.8211, scimark_benchmark: 1311.5239, usercpu_time_millis: 4.611, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 4.502,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs