OpenML
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 1793 Supervised Classification credit-approval 371 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8503, kappa: 0.6968, kb_relative_information_score: 2023.4012, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8503, predictive_accuracy: 0.8504, prior_entropy: 0.9913, recall: 0.8504, relative_absolute_error: 0.4331, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.7052, scimark_benchmark: 930.5999, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8813, f_measure: 0.8459, kappa: 0.6878, kb_relative_information_score: 2052.7786, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8459, predictive_accuracy: 0.8461, prior_entropy: 0.9913, recall: 0.8461, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3633, root_relative_squared_error: 0.7311, scimark_benchmark: 940.3347, usercpu_time_millis: 70, usercpu_time_millis_testing: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6477, f_measure: 0.5755, kappa: 0.2736, kb_relative_information_score: 728.6925, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7532, predictive_accuracy: 0.6125, prior_entropy: 0.9913, recall: 0.6125, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6225, root_relative_squared_error: 1.2527, scimark_benchmark: 916.5955, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.8581, kappa: 0.7166, kb_relative_information_score: 2450.5152, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8681, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.2881, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7591, scimark_benchmark: 882.7843, usercpu_time_millis: 300, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.8454, kappa: 0.6899, kb_relative_information_score: 2360.9642, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8512, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3139, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.7924, scimark_benchmark: 1321.527, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8526, kappa: 0.7035, kb_relative_information_score: 1955.3284, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.856, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3359, root_relative_squared_error: 0.676, scimark_benchmark: 1318.1432, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7056, f_measure: 0.7139, kappa: 0.4201, kb_relative_information_score: 1481.7355, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7221, predictive_accuracy: 0.7197, prior_entropy: 0.9913, recall: 0.7197, relative_absolute_error: 0.5674, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.5294, root_relative_squared_error: 1.0653, scimark_benchmark: 916.9356, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, f_measure: 0.8425, kappa: 0.6816, kb_relative_information_score: 2066.4547, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8429, predictive_accuracy: 0.8423, prior_entropy: 0.9913, recall: 0.8423, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.6964, scimark_benchmark: 1324.8395, usercpu_time_millis: 46240, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 46100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.857, kappa: 0.7097, kb_relative_information_score: 2304.5673, mean_absolute_error: 0.168, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8582, predictive_accuracy: 0.8577, prior_entropy: 0.9913, recall: 0.8577, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6825, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.845, kappa: 0.6859, kb_relative_information_score: 2232.93, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.845, predictive_accuracy: 0.8452, prior_entropy: 0.9913, recall: 0.8452, relative_absolute_error: 0.3603, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144, scimark_benchmark: 1066.7184, usercpu_time_millis: 660, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7594, kappa: 0.5127, kb_relative_information_score: 1745.7751, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7593, predictive_accuracy: 0.7594, prior_entropy: 0.9913, recall: 0.7594, relative_absolute_error: 0.4924, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.483, root_relative_squared_error: 0.972, scimark_benchmark: 825.5282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8441, kappa: 0.6857, kb_relative_information_score: 1985.4516, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8458, predictive_accuracy: 0.8438, prior_entropy: 0.9913, recall: 0.8438, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7106, scimark_benchmark: 1066.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.8532, kappa: 0.706, kb_relative_information_score: 1959.3267, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8602, predictive_accuracy: 0.8528, prior_entropy: 0.9913, recall: 0.8528, relative_absolute_error: 0.4665, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7025, scimark_benchmark: 1287.514, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.7737, kappa: 0.5405, kb_relative_information_score: 1882.6801, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7794, predictive_accuracy: 0.7768, prior_entropy: 0.9913, recall: 0.7768, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9506, scimark_benchmark: 1315.395, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5863, f_measure: 0.4788, kappa: 0.1578, kb_relative_information_score: 254.4789, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7051, predictive_accuracy: 0.5449, prior_entropy: 0.9913, recall: 0.5449, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.3574, scimark_benchmark: 1384.4418, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8342, kappa: 0.6642, kb_relative_information_score: 2131.8754, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8341, predictive_accuracy: 0.8342, prior_entropy: 0.9913, recall: 0.8342, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7401, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 2432.198, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.8371, kappa: 0.6697, kb_relative_information_score: 2308.0476, mean_absolute_error: 0.1626, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8372, predictive_accuracy: 0.8374, prior_entropy: 0.9913, recall: 0.8374, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8114, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.3963, kb_relative_information_score: -0.3963, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.3081, predictive_accuracy: 0.5551, prior_entropy: 0.9913, recall: 0.5551, relative_absolute_error: 1, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.497, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8495, kappa: 0.6953, kb_relative_information_score: 2101.416, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8495, predictive_accuracy: 0.8496, prior_entropy: 0.9913, recall: 0.8496, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6977, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.626, build_memory: 280807455.2, f_measure: 0.8268, kappa: 0.6497, kb_relative_information_score: 2085.9057, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.827, predictive_accuracy: 0.8267, prior_entropy: 0.9913, recall: 0.8267, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7348, scimark_benchmark: 932.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.5965, build_memory: 582595756.8, f_measure: 0.8268, kappa: 0.6497, kb_relative_information_score: 2085.9057, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.827, predictive_accuracy: 0.8267, prior_entropy: 0.9913, recall: 0.8267, relative_absolute_error: 0.4053, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7348, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, build_cpu_time: 0.7675, build_memory: 937118478.4, f_measure: 0.8271, kappa: 0.6502, kb_relative_information_score: 2086.6305, mean_absolute_error: 0.2001, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8273, predictive_accuracy: 0.827, prior_entropy: 0.9913, recall: 0.827, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3649, root_relative_squared_error: 0.7343, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, build_cpu_time: 0.537, build_memory: 850269529.6, f_measure: 0.8277, kappa: 0.6514, kb_relative_information_score: 2086.206, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8279, predictive_accuracy: 0.8275, prior_entropy: 0.9913, recall: 0.8275, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7339, scimark_benchmark: 932.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8886, build_cpu_time: 0.3906, build_memory: 637728118.4, f_measure: 0.8254, kappa: 0.6468, kb_relative_information_score: 2078.8302, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8256, predictive_accuracy: 0.8252, prior_entropy: 0.9913, recall: 0.8252, relative_absolute_error: 0.4074, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7332, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, build_cpu_time: 0.0272, build_memory: 500798056, f_measure: 0.8285, kappa: 0.6529, kb_relative_information_score: 2125.2032, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8286, predictive_accuracy: 0.8284, prior_entropy: 0.9913, recall: 0.8284, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.7477, scimark_benchmark: 925.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, build_cpu_time: 0.0474, build_memory: 101940864.8, f_measure: 0.8272, kappa: 0.6503, kb_relative_information_score: 2168.0836, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8272, predictive_accuracy: 0.8272, prior_entropy: 0.9913, recall: 0.8272, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7575, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, build_cpu_time: 0.0839, build_memory: 771922809.6, f_measure: 0.8264, kappa: 0.6487, kb_relative_information_score: 2164.7136, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8265, predictive_accuracy: 0.8264, prior_entropy: 0.9913, recall: 0.8264, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3803, root_relative_squared_error: 0.7653, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.0594, build_memory: 1649884903.2, f_measure: 0.8273, kappa: 0.6505, kb_relative_information_score: 2170.8331, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8274, predictive_accuracy: 0.8272, prior_entropy: 0.9913, recall: 0.8272, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7632, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, build_cpu_time: 0.1064, build_memory: 49802207.2, f_measure: 0.8273, kappa: 0.6505, kb_relative_information_score: 2170.8331, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8274, predictive_accuracy: 0.8272, prior_entropy: 0.9913, recall: 0.8272, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7632, scimark_benchmark: 935.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, build_cpu_time: 0.1147, build_memory: 739772396, f_measure: 0.7993, kappa: 0.5934, kb_relative_information_score: 2040.0906, mean_absolute_error: 0.201, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7992, predictive_accuracy: 0.7994, prior_entropy: 0.9913, recall: 0.7994, relative_absolute_error: 0.4069, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8864, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8076, build_cpu_time: 0.079, build_memory: 2115173131.2, f_measure: 0.797, kappa: 0.589, kb_relative_information_score: 2024.567, mean_absolute_error: 0.2032, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.797, predictive_accuracy: 0.7971, prior_entropy: 0.9913, recall: 0.7971, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8909, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, build_cpu_time: 0.0262, build_memory: 2868722751.2, f_measure: 0.7935, kappa: 0.5818, kb_relative_information_score: 1998.5989, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7935, predictive_accuracy: 0.7936, prior_entropy: 0.9913, recall: 0.7936, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4461, root_relative_squared_error: 0.8976, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, build_cpu_time: 0.0205, build_memory: 1330617727.2, f_measure: 0.7912, kappa: 0.577, kb_relative_information_score: 1981.1932, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7911, predictive_accuracy: 0.7913, prior_entropy: 0.9913, recall: 0.7913, relative_absolute_error: 0.4239, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9025, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, build_cpu_time: 0.0107, build_memory: 1061032380, f_measure: 0.7919, kappa: 0.5787, kb_relative_information_score: 1982.6015, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7919, predictive_accuracy: 0.7919, prior_entropy: 0.9913, recall: 0.7919, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4467, root_relative_squared_error: 0.8988, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9064, build_cpu_time: 0.1568, build_memory: 2066276483.2, f_measure: 0.8547, kappa: 0.7056, kb_relative_information_score: 1911.4797, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8546, predictive_accuracy: 0.8548, prior_entropy: 0.9913, recall: 0.8548, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6789, scimark_benchmark: 943.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, build_cpu_time: 0.2764, build_memory: 2134279068.8, f_measure: 0.852, kappa: 0.7002, kb_relative_information_score: 1892.9844, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6866, scimark_benchmark: 924.9295,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, build_cpu_time: 0.0006, build_memory: 394112369.6, f_measure: 0.8051, kappa: 0.6047, kb_relative_information_score: 2075.3154, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8051, predictive_accuracy: 0.8055, prior_entropy: 0.9913, recall: 0.8055, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8849, scimark_benchmark: 933.1799,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, build_cpu_time: 0.0247, build_memory: 138390842.4, f_measure: 0.8336, kappa: 0.6639, kb_relative_information_score: 2082.7369, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8344, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.4092, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7213, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, build_cpu_time: 0.001, build_memory: 1002142597.6, f_measure: 0.7649, kappa: 0.5258, kb_relative_information_score: 1872.4028, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.7878, predictive_accuracy: 0.7728, prior_entropy: 0.9913, recall: 0.7728, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8797, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.0625, build_memory: 519410277.6, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, build_cpu_time: 0.0546, build_memory: 122951824.8, f_measure: 0.8491, kappa: 0.6961, kb_relative_information_score: 2023.4532, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8516, predictive_accuracy: 0.8487, prior_entropy: 0.9913, recall: 0.8487, relative_absolute_error: 0.4412, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6808, scimark_benchmark: 933.4176,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0066, build_memory: 784747768, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 2432.198, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 947.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.0069, build_memory: 804465462.4, f_measure: 0.8554, kappa: 0.7116, kb_relative_information_score: 2432.198, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8663, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.2934, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.766, scimark_benchmark: 943.4022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 0.0194, build_memory: 275040920.8, f_measure: 0.8495, kappa: 0.6953, kb_relative_information_score: 2101.416, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8495, predictive_accuracy: 0.8496, prior_entropy: 0.9913, recall: 0.8496, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6977, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, build_cpu_time: 0.0202, build_memory: 121011857.6, f_measure: 0.8495, kappa: 0.6953, kb_relative_information_score: 2101.416, mean_absolute_error: 0.2056, mean_prior_absolute_error: 0.494, number_of_instances: 3450, precision: 0.8495, predictive_accuracy: 0.8496, prior_entropy: 0.9913, recall: 0.8496, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6977, scimark_benchmark: 938.2445,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs