OpenML
Supervised Classification on boston_corrected

Supervised Classification on boston_corrected

Task 4395 Supervised Classification boston_corrected 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8466, kappa: 0.6881, kb_relative_information_score: 3139.75, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8469, predictive_accuracy: 0.847, prior_entropy: 0.9899, recall: 0.847, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8496, kappa: 0.6946, kb_relative_information_score: 2959.5525, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.8498, prior_entropy: 0.9899, recall: 0.8498, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6535, scimark_benchmark: 972.587, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.837, kappa: 0.669, kb_relative_information_score: 3131.9576, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8369, predictive_accuracy: 0.8372, prior_entropy: 0.9899, recall: 0.8372, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6806, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7404, kappa: 0.4769, kb_relative_information_score: 2496.2813, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.7704, predictive_accuracy: 0.7518, prior_entropy: 0.9899, recall: 0.7518, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0035, scimark_benchmark: 904.6764, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8443, kappa: 0.6842, kb_relative_information_score: 2869.243, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8443, predictive_accuracy: 0.8443, prior_entropy: 0.9899, recall: 0.8443, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7043, scimark_benchmark: 941.6675, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8614, kappa: 0.7189, kb_relative_information_score: 3341.5542, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9899, recall: 0.8615, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6437, scimark_benchmark: 938.191, usercpu_time_millis: 44170, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 43950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8422, kappa: 0.6796, kb_relative_information_score: 3390.9915, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9899, recall: 0.8423, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7502, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7404, kappa: 0.4769, kb_relative_information_score: 2496.2813, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.7704, predictive_accuracy: 0.7518, prior_entropy: 0.9899, recall: 0.7518, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0035, scimark_benchmark: 944.1783, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 3379.6434, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 0.9899, recall: 0.8385, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7906, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8627, kappa: 0.7211, kb_relative_information_score: 3221.4073, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8627, predictive_accuracy: 0.8628, prior_entropy: 0.9899, recall: 0.8628, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6231, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8466, kappa: 0.6881, kb_relative_information_score: 3139.75, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8469, predictive_accuracy: 0.847, prior_entropy: 0.9899, recall: 0.847, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8496, kappa: 0.6946, kb_relative_information_score: 2959.5525, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.8498, prior_entropy: 0.9899, recall: 0.8498, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6535, scimark_benchmark: 908.9569, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.837, kappa: 0.669, kb_relative_information_score: 3131.9576, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8369, predictive_accuracy: 0.8372, prior_entropy: 0.9899, recall: 0.8372, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6806, scimark_benchmark: 936.2574, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7404, kappa: 0.4769, kb_relative_information_score: 2496.2813, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.7704, predictive_accuracy: 0.7518, prior_entropy: 0.9899, recall: 0.7518, relative_absolute_error: 0.5035, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0035, scimark_benchmark: 927.2882, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8443, kappa: 0.6842, kb_relative_information_score: 2869.243, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8443, predictive_accuracy: 0.8443, prior_entropy: 0.9899, recall: 0.8443, relative_absolute_error: 0.4542, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3497, root_relative_squared_error: 0.7043, scimark_benchmark: 903.2737, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8614, kappa: 0.7189, kb_relative_information_score: 3341.563, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9899, recall: 0.8615, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6437, scimark_benchmark: 919.3788, usercpu_time_millis: 51320, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 51210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8422, kappa: 0.6796, kb_relative_information_score: 3390.9915, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9899, recall: 0.8423, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7502, scimark_benchmark: 932.438, usercpu_time_millis: 1070, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8627, kappa: 0.7211, kb_relative_information_score: 3221.4073, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8627, predictive_accuracy: 0.8628, prior_entropy: 0.9899, recall: 0.8628, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6231, scimark_benchmark: 945.6228, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8701, kappa: 0.7361, kb_relative_information_score: 3333.0276, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8702, predictive_accuracy: 0.8704, prior_entropy: 0.9899, recall: 0.8704, relative_absolute_error: 0.3612, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.6057, scimark_benchmark: 901.4991, usercpu_time_millis: 17550, usercpu_time_millis_testing: 5040, usercpu_time_millis_training: 12510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.867, kappa: 0.7298, kb_relative_information_score: 3332.6709, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.867, predictive_accuracy: 0.8672, prior_entropy: 0.9899, recall: 0.8672, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.606, scimark_benchmark: 859.5223, usercpu_time_millis: 8930, usercpu_time_millis_testing: 2580, usercpu_time_millis_training: 6350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, f_measure: 0.8695, kappa: 0.7349, kb_relative_information_score: 3333.2454, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8696, predictive_accuracy: 0.8698, prior_entropy: 0.9899, recall: 0.8698, relative_absolute_error: 0.3605, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.6097, scimark_benchmark: 897.0978, usercpu_time_millis: 4110, usercpu_time_millis_testing: 1220, usercpu_time_millis_training: 2890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8693, kappa: 0.7346, kb_relative_information_score: 3326.5772, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 0.9899, recall: 0.8696, relative_absolute_error: 0.362, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3043, root_relative_squared_error: 0.6129, scimark_benchmark: 933.9, usercpu_time_millis: 1620, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8652, kappa: 0.7261, kb_relative_information_score: 3321.2037, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8652, predictive_accuracy: 0.8654, prior_entropy: 0.9899, recall: 0.8654, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3088, root_relative_squared_error: 0.622, scimark_benchmark: 930.0025, usercpu_time_millis: 1210, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8417, kappa: 0.6786, kb_relative_information_score: 3253.6394, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9899, recall: 0.8419, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6744, scimark_benchmark: 889.4922, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8417, kappa: 0.6786, kb_relative_information_score: 3253.6394, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9899, recall: 0.8419, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6744, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8417, kappa: 0.6786, kb_relative_information_score: 3253.6394, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9899, recall: 0.8419, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6744, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8417, kappa: 0.6786, kb_relative_information_score: 3253.6394, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9899, recall: 0.8419, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6744, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8417, kappa: 0.6786, kb_relative_information_score: 3253.6394, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8417, predictive_accuracy: 0.8419, prior_entropy: 0.9899, recall: 0.8419, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6744, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4916, f_measure: 0.4012, kb_relative_information_score: -0.3848, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.3128, predictive_accuracy: 0.5593, prior_entropy: 0.9899, recall: 0.5593, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.4965, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8588, kappa: 0.713, kb_relative_information_score: 3606.5349, mean_absolute_error: 0.1409, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8589, predictive_accuracy: 0.8591, prior_entropy: 0.9899, recall: 0.8591, relative_absolute_error: 0.2858, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.7076, scimark_benchmark: 941.9549, usercpu_time_millis: 410, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8587, kappa: 0.7129, kb_relative_information_score: 3591.5648, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.859, predictive_accuracy: 0.8591, prior_entropy: 0.9899, recall: 0.8591, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7112, scimark_benchmark: 936.1714, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.85, kappa: 0.6952, kb_relative_information_score: 3513.8402, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8502, predictive_accuracy: 0.8504, prior_entropy: 0.9899, recall: 0.8504, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7232, scimark_benchmark: 935.6052, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.8481, kappa: 0.6915, kb_relative_information_score: 3463.3024, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8482, predictive_accuracy: 0.8484, prior_entropy: 0.9899, recall: 0.8484, relative_absolute_error: 0.3149, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.365, root_relative_squared_error: 0.7351, scimark_benchmark: 938.3115, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8322, kappa: 0.6592, kb_relative_information_score: 3315.4319, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8321, predictive_accuracy: 0.8324, prior_entropy: 0.9899, recall: 0.8324, relative_absolute_error: 0.3428, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.7801, scimark_benchmark: 935.6052, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8466, kappa: 0.6881, kb_relative_information_score: 3139.75, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8469, predictive_accuracy: 0.847, prior_entropy: 0.9899, recall: 0.847, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 3379.6434, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 0.9899, recall: 0.8385, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7906, scimark_benchmark: 1317.5857, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1309.0674, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1349.1517, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 3379.6434, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 0.9899, recall: 0.8385, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7906, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8614, kappa: 0.7189, kb_relative_information_score: 3341.563, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9899, recall: 0.8615, relative_absolute_error: 0.353, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.6437, scimark_benchmark: 1313.9976, usercpu_time_millis: 26450, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 26280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1322.3407, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 3379.6434, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 0.9899, recall: 0.8385, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7906, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.892, f_measure: 0.8422, kappa: 0.6796, kb_relative_information_score: 3390.9915, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8421, predictive_accuracy: 0.8423, prior_entropy: 0.9899, recall: 0.8423, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.7502, scimark_benchmark: 1358.6198, usercpu_time_millis: 980, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8627, kappa: 0.7211, kb_relative_information_score: 3221.4073, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8627, predictive_accuracy: 0.8628, prior_entropy: 0.9899, recall: 0.8628, relative_absolute_error: 0.3837, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3093, root_relative_squared_error: 0.6231, scimark_benchmark: 1317.5348, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8372, kappa: 0.6694, kb_relative_information_score: 3133.746, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8371, predictive_accuracy: 0.8374, prior_entropy: 0.9899, recall: 0.8374, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6801, scimark_benchmark: 1321.8132, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8386, kappa: 0.6729, kb_relative_information_score: 3379.6434, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8388, predictive_accuracy: 0.8385, prior_entropy: 0.9899, recall: 0.8385, relative_absolute_error: 0.3307, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.7906, scimark_benchmark: 1347.7267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.86, kappa: 0.7157, kb_relative_information_score: 3575.2934, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8601, predictive_accuracy: 0.8603, prior_entropy: 0.9899, recall: 0.8603, relative_absolute_error: 0.2939, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6966, scimark_benchmark: 929.0363, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.8466, kappa: 0.6881, kb_relative_information_score: 3139.75, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8469, predictive_accuracy: 0.847, prior_entropy: 0.9899, recall: 0.847, relative_absolute_error: 0.3957, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6853, scimark_benchmark: 1349.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.8576, kappa: 0.7113, kb_relative_information_score: 3447.0521, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8577, predictive_accuracy: 0.8575, prior_entropy: 0.9899, recall: 0.8575, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6728, scimark_benchmark: 1238.4346, usercpu_time_millis: 1890, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8496, kappa: 0.6946, kb_relative_information_score: 2959.5525, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8496, predictive_accuracy: 0.8498, prior_entropy: 0.9899, recall: 0.8498, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6535, scimark_benchmark: 1360.6367, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8372, kappa: 0.6694, kb_relative_information_score: 3133.746, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.493, number_of_instances: 5060, precision: 0.8371, predictive_accuracy: 0.8374, prior_entropy: 0.9899, recall: 0.8374, relative_absolute_error: 0.393, root_mean_prior_squared_error: 0.4965, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6801, scimark_benchmark: 1260.1387, usercpu_time_millis: 260, usercpu_time_millis_training: 260,

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