Task
Supervised Classification on lymph

Supervised Classification on lymph

Task 1890 Supervised Classification lymph 170 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7689, kappa: 0.5634, kb_relative_information_score: 713.7115, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 1.2818, recall: 0.7689, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.859, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7847, kappa: 0.5982, kb_relative_information_score: 766.3658, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7797, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.801, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8508, kappa: 0.7195, kb_relative_information_score: 1007.5634, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8525, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6707, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7659, kappa: 0.5658, kb_relative_information_score: 678.3349, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7581, predictive_accuracy: 0.7764, prior_entropy: 1.2818, recall: 0.7764, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.7705, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8284, kappa: 0.6812, kb_relative_information_score: 780.4059, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 1.2818, recall: 0.8372, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6782, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7927, kappa: 0.6049, kb_relative_information_score: 862.0368, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7958, predictive_accuracy: 0.7953, prior_entropy: 1.2818, recall: 0.7953, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.278, root_relative_squared_error: 0.7638, scimark_benchmark: 937.5117, usercpu_time_millis: 440, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8284, kappa: 0.6812, kb_relative_information_score: 780.4059, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 1.2818, recall: 0.8372, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6782, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7689, kappa: 0.5634, kb_relative_information_score: 713.7115, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 1.2818, recall: 0.7689, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.859, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7847, kappa: 0.5982, kb_relative_information_score: 766.3658, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7797, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.4597, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.801, scimark_benchmark: 608.4057, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 919.3788, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8508, kappa: 0.7195, kb_relative_information_score: 1007.5634, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8525, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6707, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.7659, kappa: 0.5658, kb_relative_information_score: 678.3349, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7581, predictive_accuracy: 0.7764, prior_entropy: 1.2818, recall: 0.7764, relative_absolute_error: 0.5673, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.7705, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8284, kappa: 0.6812, kb_relative_information_score: 780.4059, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 1.2818, recall: 0.8372, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6782, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8597, kappa: 0.74, kb_relative_information_score: 817.5288, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8566, predictive_accuracy: 0.8655, prior_entropy: 1.2818, recall: 0.8655, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2374, root_relative_squared_error: 0.6522, scimark_benchmark: 938.4601, usercpu_time_millis: 1840, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 1040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8525, kappa: 0.7258, kb_relative_information_score: 820.7585, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8496, predictive_accuracy: 0.8581, prior_entropy: 1.2818, recall: 0.8581, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.6514, scimark_benchmark: 938.4601, usercpu_time_millis: 990, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8442, kappa: 0.7098, kb_relative_information_score: 818.6893, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8414, predictive_accuracy: 0.85, prior_entropy: 1.2818, recall: 0.85, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.6577, scimark_benchmark: 939.7241, usercpu_time_millis: 350, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.8321, kappa: 0.6864, kb_relative_information_score: 817.2423, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8291, predictive_accuracy: 0.8378, prior_entropy: 1.2818, recall: 0.8378, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.6633, scimark_benchmark: 941.8684, usercpu_time_millis: 180, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8342, kappa: 0.6916, kb_relative_information_score: 817.5152, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.83, predictive_accuracy: 0.8405, prior_entropy: 1.2818, recall: 0.8405, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.242, root_relative_squared_error: 0.6649, scimark_benchmark: 894.7131, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.3872, kb_relative_information_score: -2.5435, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3642, root_relative_squared_error: 1.0006, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.741, kappa: 0.5257, kb_relative_information_score: 230.8654, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7323, predictive_accuracy: 0.7541, prior_entropy: 1.2818, recall: 0.7541, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.8951, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7329, kappa: 0.5087, kb_relative_information_score: 357.2926, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7214, predictive_accuracy: 0.7466, prior_entropy: 1.2818, recall: 0.7466, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3264, root_relative_squared_error: 0.8969, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.7312, kappa: 0.5054, kb_relative_information_score: 383.0981, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7204, predictive_accuracy: 0.7446, prior_entropy: 1.2818, recall: 0.7446, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9026, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.7295, kappa: 0.502, kb_relative_information_score: 428.5924, mean_absolute_error: 0.1911, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.718, predictive_accuracy: 0.7432, prior_entropy: 1.2818, recall: 0.7432, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3302, root_relative_squared_error: 0.9073, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7348, kappa: 0.5118, kb_relative_information_score: 566.9857, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7214, predictive_accuracy: 0.7493, prior_entropy: 1.2818, recall: 0.7493, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.333, root_relative_squared_error: 0.915, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3872, kb_relative_information_score: 200.8766, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.2995, predictive_accuracy: 0.5473, prior_entropy: 1.2818, recall: 0.5473, relative_absolute_error: 0.8454, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.3072, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, f_measure: 0.777, kappa: 0.5819, kb_relative_information_score: 749.9351, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7722, predictive_accuracy: 0.7831, prior_entropy: 1.2818, recall: 0.7831, relative_absolute_error: 0.496, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.7954, scimark_benchmark: 906.0884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.7958, kappa: 0.6179, kb_relative_information_score: 778.3846, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7945, predictive_accuracy: 0.798, prior_entropy: 1.2818, recall: 0.798, relative_absolute_error: 0.5202, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.7422, scimark_benchmark: 936.7184, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.7572, kappa: 0.555, kb_relative_information_score: 421.2572, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7423, predictive_accuracy: 0.775, prior_entropy: 1.2818, recall: 0.775, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2936, root_relative_squared_error: 0.8067, scimark_benchmark: 931.7994,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8284, kappa: 0.6812, kb_relative_information_score: 780.4059, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 1.2818, recall: 0.8372, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6782, scimark_benchmark: 1345.0202, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7689, kappa: 0.5634, kb_relative_information_score: 713.7115, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 1.2818, recall: 0.7689, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.859, scimark_benchmark: 1316.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7784, kappa: 0.5968, kb_relative_information_score: 798.773, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7737, predictive_accuracy: 0.7993, prior_entropy: 1.2818, recall: 0.7993, relative_absolute_error: 0.3748, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8704, scimark_benchmark: 1304.2593, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7927, kappa: 0.6049, kb_relative_information_score: 862.0368, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7958, predictive_accuracy: 0.7953, prior_entropy: 1.2818, recall: 0.7953, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.278, root_relative_squared_error: 0.7638, scimark_benchmark: 1278.6629, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8284, kappa: 0.6812, kb_relative_information_score: 780.4059, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 1.2818, recall: 0.8372, relative_absolute_error: 0.5301, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2468, root_relative_squared_error: 0.6782, scimark_benchmark: 1326.8946, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7689, kappa: 0.5634, kb_relative_information_score: 713.7115, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 1.2818, recall: 0.7689, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.859, scimark_benchmark: 1320.9387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8508, kappa: 0.7195, kb_relative_information_score: 1007.5634, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8525, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6707, scimark_benchmark: 935.5075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.7927, kappa: 0.6049, kb_relative_information_score: 862.0368, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7958, predictive_accuracy: 0.7953, prior_entropy: 1.2818, recall: 0.7953, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.278, root_relative_squared_error: 0.7638, scimark_benchmark: 1335.5424, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8508, kappa: 0.7195, kb_relative_information_score: 1007.5634, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8525, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6707, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.8663, kappa: 0.7457, kb_relative_information_score: 1019.8441, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8679, predictive_accuracy: 0.8669, prior_entropy: 1.2818, recall: 0.8669, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.6336, scimark_benchmark: 1345.7204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.7205, kappa: 0.4848, kb_relative_information_score: 541.5123, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7392, predictive_accuracy: 0.7324, prior_entropy: 1.2818, recall: 0.7324, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.8329, scimark_benchmark: 926.6704, usercpu_time_millis: 40, usercpu_time_millis_testing: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8508, kappa: 0.7195, kb_relative_information_score: 1007.5634, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.8525, predictive_accuracy: 0.8514, prior_entropy: 1.2818, recall: 0.8514, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.6707, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, f_measure: 0.7801, kappa: 0.5875, kb_relative_information_score: 737.14, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7761, predictive_accuracy: 0.7865, prior_entropy: 1.2818, recall: 0.7865, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.82, scimark_benchmark: 1340.1351, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.767, kappa: 0.5689, kb_relative_information_score: 677.8274, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7579, predictive_accuracy: 0.7784, prior_entropy: 1.2818, recall: 0.7784, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7664, scimark_benchmark: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7689, kappa: 0.5634, kb_relative_information_score: 713.7115, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7692, predictive_accuracy: 0.7689, prior_entropy: 1.2818, recall: 0.7689, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.859, scimark_benchmark: 1343.6648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7793, kappa: 0.5987, kb_relative_information_score: 554.8074, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7668, predictive_accuracy: 0.798, prior_entropy: 1.2818, recall: 0.798, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.764, scimark_benchmark: 1345.7582, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9005, f_measure: 0.773, kappa: 0.5849, kb_relative_information_score: 548.7077, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.2677, number_of_instances: 1480, precision: 0.7613, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.7704, scimark_benchmark: 1309.4998, 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