Task
Supervised Classification on fri_c1_250_10

Supervised Classification on fri_c1_250_10

Task 4503 Supervised Classification fri_c1_250_10 211 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8341, kappa: 0.6622, kb_relative_information_score: 1395.1535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8358, predictive_accuracy: 0.8352, prior_entropy: 0.9898, recall: 0.8352, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7573, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8503, kappa: 0.6957, kb_relative_information_score: 1549.6328, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8507, predictive_accuracy: 0.8508, prior_entropy: 0.9898, recall: 0.8508, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6682, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 904.0772, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8661, kappa: 0.7279, kb_relative_information_score: 1439.4508, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9898, recall: 0.8664, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6472, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.686, kappa: 0.3613, kb_relative_information_score: 581.7678, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6857, predictive_accuracy: 0.6872, prior_entropy: 0.9898, recall: 0.6872, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9145, scimark_benchmark: 938.9588, usercpu_time_millis: 1900, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 944.1783, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8853, kappa: 0.7668, kb_relative_information_score: 1486.9155, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9898, recall: 0.8856, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5888, scimark_benchmark: 937.5117, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8341, kappa: 0.6622, kb_relative_information_score: 1395.1535, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8358, predictive_accuracy: 0.8352, prior_entropy: 0.9898, recall: 0.8352, relative_absolute_error: 0.4693, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3759, root_relative_squared_error: 0.7573, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8534, kappa: 0.7023, kb_relative_information_score: 1401.8193, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9898, recall: 0.8536, relative_absolute_error: 0.4655, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3312, root_relative_squared_error: 0.6673, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8503, kappa: 0.6957, kb_relative_information_score: 1549.6328, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8507, predictive_accuracy: 0.8508, prior_entropy: 0.9898, recall: 0.8508, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6682, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 904.5548, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8661, kappa: 0.7279, kb_relative_information_score: 1439.4508, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9898, recall: 0.8664, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6472, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.686, kappa: 0.3613, kb_relative_information_score: 581.7678, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6857, predictive_accuracy: 0.6872, prior_entropy: 0.9898, recall: 0.6872, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9145, scimark_benchmark: 931.7096, usercpu_time_millis: 2000, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8853, kappa: 0.7668, kb_relative_information_score: 1486.9155, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9898, recall: 0.8856, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5888, scimark_benchmark: 938.988, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.8851, kappa: 0.7666, kb_relative_information_score: 1093.3419, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8851, predictive_accuracy: 0.8852, prior_entropy: 0.9898, recall: 0.8852, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.6913, scimark_benchmark: 819.5729, usercpu_time_millis: 2120, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8764, kappa: 0.7491, kb_relative_information_score: 1091.682, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8763, predictive_accuracy: 0.8764, prior_entropy: 0.9898, recall: 0.8764, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6931, scimark_benchmark: 932.438, usercpu_time_millis: 800, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8718, kappa: 0.7397, kb_relative_information_score: 1087.4647, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9898, recall: 0.872, relative_absolute_error: 0.6147, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6982, scimark_benchmark: 859.5223, usercpu_time_millis: 290, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8555, kappa: 0.7065, kb_relative_information_score: 1066.4572, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8554, predictive_accuracy: 0.8556, prior_entropy: 0.9898, recall: 0.8556, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7107, scimark_benchmark: 891.6381, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8313, kappa: 0.657, kb_relative_information_score: 1056.1703, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8313, predictive_accuracy: 0.8316, prior_entropy: 0.9898, recall: 0.8316, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7261, scimark_benchmark: 919.7824, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.86, kappa: 0.7153, kb_relative_information_score: 1634.5413, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8603, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6458, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.86, kappa: 0.7153, kb_relative_information_score: 1634.5413, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8603, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.359, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6458, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.86, kappa: 0.7153, kb_relative_information_score: 1632.817, mean_absolute_error: 0.1773, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8603, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3597, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6461, scimark_benchmark: 894.7131, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8623, kappa: 0.72, kb_relative_information_score: 1611.6369, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8628, predictive_accuracy: 0.8628, prior_entropy: 0.9898, recall: 0.8628, relative_absolute_error: 0.3704, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6389, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8325, kappa: 0.6593, kb_relative_information_score: 1421.3265, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8331, predictive_accuracy: 0.8332, prior_entropy: 0.9898, recall: 0.8332, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.341, root_relative_squared_error: 0.687, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0524, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9898, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8884, kappa: 0.7729, kb_relative_information_score: 1892.7023, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8892, predictive_accuracy: 0.8888, prior_entropy: 0.9898, recall: 0.8888, relative_absolute_error: 0.2438, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6346, scimark_benchmark: 926.5859, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8683, kappa: 0.7322, kb_relative_information_score: 1798.1732, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8689, predictive_accuracy: 0.8688, prior_entropy: 0.9898, recall: 0.8688, relative_absolute_error: 0.2814, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6716, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1329.8008,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.686, kappa: 0.3613, kb_relative_information_score: 581.7682, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6857, predictive_accuracy: 0.6872, prior_entropy: 0.9898, recall: 0.6872, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9145, scimark_benchmark: 1313.9976, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8503, kappa: 0.6957, kb_relative_information_score: 1549.6328, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8507, predictive_accuracy: 0.8508, prior_entropy: 0.9898, recall: 0.8508, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6682, scimark_benchmark: 1334.863, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6951, kappa: 0.3799, kb_relative_information_score: 948.035, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6948, predictive_accuracy: 0.696, prior_entropy: 0.9898, recall: 0.696, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1108, scimark_benchmark: 1321.8321, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8446, kappa: 0.6837, kb_relative_information_score: 1478.5749, mean_absolute_error: 0.2109, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8463, predictive_accuracy: 0.8456, prior_entropy: 0.9898, recall: 0.8456, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6817, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8599, kappa: 0.715, kb_relative_information_score: 1577.8801, mean_absolute_error: 0.1912, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8605, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.6831, scimark_benchmark: 1347.3402, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9608, f_measure: 0.8853, kappa: 0.7668, kb_relative_information_score: 1486.9155, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8856, predictive_accuracy: 0.8856, prior_entropy: 0.9898, recall: 0.8856, relative_absolute_error: 0.4451, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.5888, scimark_benchmark: 1313.5633, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7355, f_measure: 0.676, kappa: 0.3405, kb_relative_information_score: 552.4525, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.676, predictive_accuracy: 0.678, prior_entropy: 0.9898, recall: 0.678, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9161, scimark_benchmark: 1334.863, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.8503, kappa: 0.6957, kb_relative_information_score: 1549.6328, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8507, predictive_accuracy: 0.8508, prior_entropy: 0.9898, recall: 0.8508, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6682, scimark_benchmark: 1322.806, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8486, kappa: 0.6925, kb_relative_information_score: 1573.9636, mean_absolute_error: 0.1887, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8486, predictive_accuracy: 0.8488, prior_entropy: 0.9898, recall: 0.8488, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6935, scimark_benchmark: 1337.1928, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.8661, kappa: 0.7279, kb_relative_information_score: 1439.4508, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8662, predictive_accuracy: 0.8664, prior_entropy: 0.9898, recall: 0.8664, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6472, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.686, kappa: 0.3613, kb_relative_information_score: 581.7682, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.6857, predictive_accuracy: 0.6872, prior_entropy: 0.9898, recall: 0.6872, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9145, scimark_benchmark: 1299.6719, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8594, kappa: 0.7139, kb_relative_information_score: 1530.2099, mean_absolute_error: 0.2012, mean_prior_absolute_error: 0.4929, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8604, prior_entropy: 0.9898, recall: 0.8604, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6615, scimark_benchmark: 1345.0202,

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