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Supervised Classification on tae

Supervised Classification on tae

Task 4523 Supervised Classification tae 229 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 1322.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1334.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1339.2472, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 1348.2804, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1329.8282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 1360.9406, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6763, kappa: 0.2659, kb_relative_information_score: 238.0625, mean_absolute_error: 0.3819, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6767, predictive_accuracy: 0.6927, prior_entropy: 0.9308, recall: 0.6927, relative_absolute_error: 0.8446, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.9379, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1344.4042, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1341.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1280.6338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1347.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7324, kappa: 0.4025, kb_relative_information_score: 459.262, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7308, predictive_accuracy: 0.7351, prior_entropy: 0.9308, recall: 0.7351, relative_absolute_error: 0.6851, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.9354, scimark_benchmark: 1315.933, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1337.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1329.8902, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.7184, kappa: 0.3656, kb_relative_information_score: 220.3132, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.717, predictive_accuracy: 0.7258, prior_entropy: 0.9308, recall: 0.7258, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9463, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7045, f_measure: 0.7544, kappa: 0.4427, kb_relative_information_score: 698.8774, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7635, predictive_accuracy: 0.7676, prior_entropy: 0.9308, recall: 0.7676, relative_absolute_error: 0.5141, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0147, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7067, kappa: 0.3379, kb_relative_information_score: 226.8137, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7055, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9469, scimark_benchmark: 1343.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 1337.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6511, kappa: 0.2079, kb_relative_information_score: 171.5101, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6521, predictive_accuracy: 0.6735, prior_entropy: 0.9308, recall: 0.6735, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9697, scimark_benchmark: 1311.9814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7143, kappa: 0.3653, kb_relative_information_score: 408.2625, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7135, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7191, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0024, scimark_benchmark: 1293.6566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 944.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.7037, kappa: 0.3346, kb_relative_information_score: 209.3115, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7013, predictive_accuracy: 0.7093, prior_entropy: 0.9308, recall: 0.7093, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9754, scimark_benchmark: 1339.9935, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6458, kappa: 0.1992, kb_relative_information_score: 147.1116, mean_absolute_error: 0.4131, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6654, predictive_accuracy: 0.6854, prior_entropy: 0.9308, recall: 0.6854, relative_absolute_error: 0.9136, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9442, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.6802, kappa: 0.2745, kb_relative_information_score: 183.381, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6817, predictive_accuracy: 0.6974, prior_entropy: 0.9308, recall: 0.6974, relative_absolute_error: 0.8845, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.957, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7104, kappa: 0.3504, kb_relative_information_score: 312.8068, mean_absolute_error: 0.3594, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7082, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9772, scimark_benchmark: 906.4475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7039, kappa: 0.3302, kb_relative_information_score: 278.4042, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7037, predictive_accuracy: 0.7152, prior_entropy: 0.9308, recall: 0.7152, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.965, scimark_benchmark: 1342.4239, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.6126, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 1317.0962, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6071, f_measure: 0.7113, kappa: 0.3528, kb_relative_information_score: -207.4212, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7091, predictive_accuracy: 0.7159, prior_entropy: 0.9308, recall: 0.7159, relative_absolute_error: 1.0779, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4928, root_relative_squared_error: 1.0371, scimark_benchmark: 926.6704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5193, kb_relative_information_score: -1.8091, mean_absolute_error: 0.4524, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.4299, predictive_accuracy: 0.6556, prior_entropy: 0.9308, recall: 0.6556, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0003, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5104, f_measure: 0.2591, kappa: 0.0093, kb_relative_information_score: -258.8264, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.5786, predictive_accuracy: 0.3709, prior_entropy: 0.9308, recall: 0.3709, relative_absolute_error: 1.1019, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0491, scimark_benchmark: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6956, kappa: 0.3164, kb_relative_information_score: 167.5881, mean_absolute_error: 0.3988, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.693, predictive_accuracy: 0.7013, prior_entropy: 0.9308, recall: 0.7013, relative_absolute_error: 0.8819, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9458, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6961, kappa: 0.3161, kb_relative_information_score: 376.6256, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.7033, prior_entropy: 0.9308, recall: 0.7033, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0305, scimark_benchmark: 912.5006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.6497, kappa: 0.2099, kb_relative_information_score: 150.2008, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6779, predictive_accuracy: 0.6927, prior_entropy: 0.9308, recall: 0.6927, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.944, scimark_benchmark: 1331.6907, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6553, kappa: 0.2207, kb_relative_information_score: 151.4073, mean_absolute_error: 0.4121, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6783, predictive_accuracy: 0.694, prior_entropy: 0.9308, recall: 0.694, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9467, scimark_benchmark: 1299.5783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.7486, kappa: 0.4354, kb_relative_information_score: 446.1336, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7475, predictive_accuracy: 0.7536, prior_entropy: 0.9308, recall: 0.7536, relative_absolute_error: 0.7099, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9048, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7169, kappa: 0.3613, kb_relative_information_score: 321.4915, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7158, predictive_accuracy: 0.7252, prior_entropy: 0.9308, recall: 0.7252, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9276, scimark_benchmark: 938.9967, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6874, kappa: 0.291, kb_relative_information_score: 249.1294, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6895, predictive_accuracy: 0.704, prior_entropy: 0.9308, recall: 0.704, relative_absolute_error: 0.8416, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9195, scimark_benchmark: 925.4974, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7306, f_measure: 0.6982, kappa: 0.316, kb_relative_information_score: 244.375, mean_absolute_error: 0.3811, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6998, predictive_accuracy: 0.7126, prior_entropy: 0.9308, recall: 0.7126, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4395, root_relative_squared_error: 0.925, scimark_benchmark: 925.4974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6025, f_measure: 0.6947, kappa: 0.3098, kb_relative_information_score: 185.6498, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6937, predictive_accuracy: 0.706, prior_entropy: 0.9308, recall: 0.706, relative_absolute_error: 0.8901, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9637, scimark_benchmark: 1368.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.6995, kappa: 0.3202, kb_relative_information_score: 304.7262, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6992, predictive_accuracy: 0.7113, prior_entropy: 0.9308, recall: 0.7113, relative_absolute_error: 0.8045, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4525, root_relative_squared_error: 0.9522, scimark_benchmark: 912.5006, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.6785, kappa: 0.2706, kb_relative_information_score: 254.4253, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6801, predictive_accuracy: 0.696, prior_entropy: 0.9308, recall: 0.696, relative_absolute_error: 0.8366, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9645, scimark_benchmark: 825.5282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.6522, kappa: 0.2103, kb_relative_information_score: 208.6053, mean_absolute_error: 0.3904, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6535, predictive_accuracy: 0.6748, prior_entropy: 0.9308, recall: 0.6748, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9793, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6142, kappa: 0.1241, kb_relative_information_score: 155.9673, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.6128, predictive_accuracy: 0.6444, prior_entropy: 0.9308, recall: 0.6444, relative_absolute_error: 0.8942, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4713, root_relative_squared_error: 0.9918, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6353, f_measure: 0.6063, kappa: 0.1072, kb_relative_information_score: 136.1655, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.607, predictive_accuracy: 0.643, prior_entropy: 0.9308, recall: 0.643, relative_absolute_error: 0.9066, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9929, scimark_benchmark: 934.1747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7233, kappa: 0.3949, kb_relative_information_score: 316.1366, mean_absolute_error: 0.3543, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7277, predictive_accuracy: 0.7205, prior_entropy: 0.9308, recall: 0.7205, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9456, scimark_benchmark: 883.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7473, f_measure: 0.701, kappa: 0.3543, kb_relative_information_score: 398.4971, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.7112, predictive_accuracy: 0.696, prior_entropy: 0.9308, recall: 0.696, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.9633, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5391, kappa: 0.0823, kb_relative_information_score: -132.2451, mean_absolute_error: 0.4715, mean_prior_absolute_error: 0.4522, number_of_instances: 1510, precision: 0.5922, predictive_accuracy: 0.5285, prior_entropy: 0.9308, recall: 0.5285, relative_absolute_error: 1.0427, root_mean_prior_squared_error: 0.4752, root_mean_squared_error: 0.6867, root_relative_squared_error: 1.4451, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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