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Supervised Classification on mc2

Supervised Classification on mc2

Task 4610 Supervised Classification mc2 194 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.6713, kappa: 0.2249, kb_relative_information_score: 219.9616, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6934, predictive_accuracy: 0.7118, prior_entropy: 0.9099, recall: 0.7118, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.998, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 972.587, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6543, kappa: 0.1907, kb_relative_information_score: 182.2962, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6488, predictive_accuracy: 0.6671, prior_entropy: 0.9099, recall: 0.6671, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.074, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction count does not match: Repeat 0 fold 0 sample 0 expected predictions with row id's [7, 11, 23, 27, 33, 34, 52, 55, 64, 71, 80, 82, 96, 106, 135, 143, 151] , but got predictions with row id's [2, 2, 3, 4, 4, 5, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 11, 11, 11, 12, 13, 13, 15, 17, 17, 18, 19, 22, 23, 24, 25, 26, 27, 27, 28, 29, 30, 31, 31, 33, 33, 33, 34, 37, 38, 39, 39, 40, 40, 41, 42, 42, 43, 43, 43, 45, 45, 46, 46, 48, 48, 50, 51, 52, 52, 54, 55, 55, 57, 58, 59, 59, 60, 61, 61, 62, 63, 63, 64, 64, 65, 66, 66, 66, 67, 69, 71, 71, 71, 74, 75, 75, 77, 80, 80, 81, 82, 82, 82, 82, 83, 84, 85, 86, 89, 90, 90, 90, 92, 96, 96, 100, 101, 101, 103, 103, 105, 106, 107, 109, 109, 110, 110, 111, 113, 114, 115, 115, 118, 120, 120, 121, 122, 123, 123, 125, 125, 126, 127, 127, 127, 128, 129, 129, 130, 130, 132, 132, 133, 133, 134, 134, 135, 135, 137, 139, 141, 142, 143, 145, 145, 146, 147, 150, 151, 151, 157, 159, 159]
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Prediction count does not match: Repeat 0 fold 0 sample 0 expected predictions with row id's [7, 11, 23, 27, 33, 34, 52, 55, 64, 71, 80, 82, 96, 106, 135, 143, 151] , but got predictions with row id's [2, 2, 3, 4, 4, 5, 6, 6, 7, 7, 7, 7, 7, 7, 8, 8, 8, 11, 11, 11, 12, 13, 13, 15, 17, 17, 18, 19, 22, 23, 24, 25, 26, 27, 27, 28, 29, 30, 31, 31, 33, 33, 33, 34, 37, 38, 39, 39, 40, 40, 41, 42, 42, 43, 43, 43, 45, 45, 46, 46, 48, 48, 50, 51, 52, 52, 54, 55, 55, 57, 58, 59, 59, 60, 61, 61, 62, 63, 63, 64, 64, 65, 66, 66, 66, 67, 69, 71, 71, 71, 74, 75, 75, 77, 80, 80, 81, 82, 82, 82, 82, 83, 84, 85, 86, 89, 90, 90, 90, 92, 96, 96, 100, 101, 101, 103, 103, 105, 106, 107, 109, 109, 110, 110, 111, 113, 114, 115, 115, 118, 120, 120, 121, 122, 123, 123, 125, 125, 126, 127, 127, 127, 128, 129, 129, 130, 130, 132, 132, 133, 133, 134, 134, 135, 135, 137, 139, 141, 142, 143, 145, 145, 146, 147, 150, 151, 151, 157, 159, 159]
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 941.3142, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 904.0772, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6873, kappa: 0.2727, kb_relative_information_score: 369.5682, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6835, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1174, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6837, kappa: 0.2526, kb_relative_information_score: 239.2743, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6925, predictive_accuracy: 0.7124, prior_entropy: 0.9099, recall: 0.7124, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9477, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7112, kappa: 0.3201, kb_relative_information_score: 366.2848, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7124, predictive_accuracy: 0.7273, prior_entropy: 0.9099, recall: 0.7273, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9189, scimark_benchmark: 908.6124, usercpu_time_millis: 610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6744, kappa: 0.2325, kb_relative_information_score: 223.2199, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6729, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0557, scimark_benchmark: 944.1067, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 938.5498, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5661, f_measure: 0.6713, kappa: 0.2249, kb_relative_information_score: 219.9616, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6934, predictive_accuracy: 0.7118, prior_entropy: 0.9099, recall: 0.7118, relative_absolute_error: 0.8697, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4667, root_relative_squared_error: 0.998, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6344, f_measure: 0.6474, kappa: 0.1701, kb_relative_information_score: 114.968, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.642, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4692, root_relative_squared_error: 1.0035, scimark_benchmark: 901.6243, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.6543, kappa: 0.1907, kb_relative_information_score: 182.2962, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6488, predictive_accuracy: 0.6671, prior_entropy: 0.9099, recall: 0.6671, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.074, scimark_benchmark: 944.0133, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6837, kappa: 0.2526, kb_relative_information_score: 239.2743, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6925, predictive_accuracy: 0.7124, prior_entropy: 0.9099, recall: 0.7124, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9477, scimark_benchmark: 933.3455, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7112, kappa: 0.3201, kb_relative_information_score: 366.2848, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7124, predictive_accuracy: 0.7273, prior_entropy: 0.9099, recall: 0.7273, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9189, scimark_benchmark: 936.3373, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6744, kappa: 0.2325, kb_relative_information_score: 223.2199, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6729, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0557, scimark_benchmark: 941.3057, usercpu_time_millis: 820, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 936.3213, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.7043, kappa: 0.3021, kb_relative_information_score: 327.5498, mean_absolute_error: 0.3496, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7094, predictive_accuracy: 0.7255, prior_entropy: 0.9099, recall: 0.7255, relative_absolute_error: 0.7981, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.9075, scimark_benchmark: 1171.0303, usercpu_time_millis: 5290, usercpu_time_millis_testing: 2530, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.762, f_measure: 0.6978, kappa: 0.2867, kb_relative_information_score: 328.8025, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7024, predictive_accuracy: 0.7199, prior_entropy: 0.9099, recall: 0.7199, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.425, root_relative_squared_error: 0.909, scimark_benchmark: 848.0926, usercpu_time_millis: 2660, usercpu_time_millis_testing: 1300, usercpu_time_millis_training: 1360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7026, kappa: 0.2985, kb_relative_information_score: 321.9339, mean_absolute_error: 0.3502, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7058, predictive_accuracy: 0.7224, prior_entropy: 0.9099, recall: 0.7224, relative_absolute_error: 0.7994, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9127, scimark_benchmark: 936.2727, usercpu_time_millis: 660, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.6851, kappa: 0.2565, kb_relative_information_score: 302.9581, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6884, predictive_accuracy: 0.7087, prior_entropy: 0.9099, recall: 0.7087, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4329, root_relative_squared_error: 0.9258, scimark_benchmark: 930.2337, usercpu_time_millis: 300, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7376, f_measure: 0.6923, kappa: 0.2756, kb_relative_information_score: 313.533, mean_absolute_error: 0.3493, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6915, predictive_accuracy: 0.7093, prior_entropy: 0.9099, recall: 0.7093, relative_absolute_error: 0.7973, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.9328, scimark_benchmark: 933.9243, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6681, kappa: 0.2175, kb_relative_information_score: 217.9788, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6664, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0208, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6681, kappa: 0.2175, kb_relative_information_score: 217.9788, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6664, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0208, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6681, kappa: 0.2175, kb_relative_information_score: 217.9788, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6664, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0208, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6681, kappa: 0.2175, kb_relative_information_score: 217.9788, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6664, predictive_accuracy: 0.6894, prior_entropy: 0.9099, recall: 0.6894, relative_absolute_error: 0.8409, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0208, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6662, kappa: 0.2126, kb_relative_information_score: 212.118, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6645, predictive_accuracy: 0.6882, prior_entropy: 0.9099, recall: 0.6882, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.022, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6837, kappa: 0.2526, kb_relative_information_score: 239.2743, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6925, predictive_accuracy: 0.7124, prior_entropy: 0.9099, recall: 0.7124, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9477, scimark_benchmark: 1306.9281, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.6477, kappa: 0.1711, kb_relative_information_score: 113.0334, mean_absolute_error: 0.3947, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6423, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.0042, scimark_benchmark: 1349.9643, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6873, kappa: 0.2727, kb_relative_information_score: 369.5682, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6835, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1174, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7112, kappa: 0.3201, kb_relative_information_score: 366.285, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7124, predictive_accuracy: 0.7273, prior_entropy: 0.9099, recall: 0.7273, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9189, scimark_benchmark: 1350.4825, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6873, kappa: 0.2727, kb_relative_information_score: 369.5682, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6835, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1174, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6744, kappa: 0.2325, kb_relative_information_score: 223.2199, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6729, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.8535, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0557, scimark_benchmark: 1332.6745, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 1333.6736, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.7263, kappa: 0.3622, kb_relative_information_score: 429.3474, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7239, predictive_accuracy: 0.7335, prior_entropy: 0.9099, recall: 0.7335, relative_absolute_error: 0.7142, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9573, scimark_benchmark: 1343.3311, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.6754, kappa: 0.2417, kb_relative_information_score: 337.8531, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.671, predictive_accuracy: 0.6857, prior_entropy: 0.9099, recall: 0.6857, relative_absolute_error: 0.7596, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.1442, scimark_benchmark: 1321.4771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.6541, kappa: 0.1905, kb_relative_information_score: 179.2847, mean_absolute_error: 0.3784, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6486, predictive_accuracy: 0.6665, prior_entropy: 0.9099, recall: 0.6665, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0756, scimark_benchmark: 1253.0071, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6783, f_measure: 0.7029, kappa: 0.2978, kb_relative_information_score: 259.4515, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.7157, predictive_accuracy: 0.7298, prior_entropy: 0.9099, recall: 0.7298, relative_absolute_error: 0.8296, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.9552, scimark_benchmark: 1324.5762, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1313.8499, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6553, f_measure: 0.6873, kappa: 0.2727, kb_relative_information_score: 369.5682, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6835, predictive_accuracy: 0.6944, prior_entropy: 0.9099, recall: 0.6944, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.1174, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6914, kappa: 0.2779, kb_relative_information_score: 298.1569, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.688, predictive_accuracy: 0.7025, prior_entropy: 0.9099, recall: 0.7025, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0237, scimark_benchmark: 1352.9931, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 1334.9442, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.6899, kappa: 0.2673, kb_relative_information_score: 273.7152, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.6974, predictive_accuracy: 0.7161, prior_entropy: 0.9099, recall: 0.7161, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.4386, root_relative_squared_error: 0.9379, scimark_benchmark: 1360.0477, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5436, kappa: -0.0123, kb_relative_information_score: 331.376, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4381, number_of_instances: 1610, precision: 0.457, predictive_accuracy: 0.6708, prior_entropy: 0.9099, recall: 0.6708, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4676, root_mean_squared_error: 0.5738, root_relative_squared_error: 1.227, scimark_benchmark: 1321.8132, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,

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