Task
Supervised Classification on BNG(cmc)

Supervised Classification on BNG(cmc)

Task 2146 Supervised Classification BNG(cmc) 247 runs submitted
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  • study_1 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5871, f_measure: 0.4657, kappa: 0.1732, kb_relative_information_score: 13036.0758, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.4658, predictive_accuracy: 0.4655, prior_entropy: 1.5387, recall: 0.4655, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5969, root_relative_squared_error: 1.2863,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.5544, kappa: 0.3067, kb_relative_information_score: 20088.1942, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5547, predictive_accuracy: 0.5591, prior_entropy: 1.5387, recall: 0.5591, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5421, root_relative_squared_error: 1.1682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5751, f_measure: 0.4432, kappa: 0.1542, kb_relative_information_score: 13412.7865, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.4926, predictive_accuracy: 0.4858, prior_entropy: 1.5387, recall: 0.4858, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5855, root_relative_squared_error: 1.2616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.5678, kappa: 0.3283, kb_relative_information_score: 21052.7839, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5681, predictive_accuracy: 0.5698, prior_entropy: 1.5387, recall: 0.5698, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6619, f_measure: 0.5661, kappa: 0.3252, kb_relative_information_score: 20949.1738, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5673, predictive_accuracy: 0.57, prior_entropy: 1.5387, recall: 0.57, relative_absolute_error: 0.6655, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5354, root_relative_squared_error: 1.1537, usercpu_time_millis: 5801.961, usercpu_time_millis_testing: 171.181, usercpu_time_millis_training: 5630.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.5635, kappa: 0.322, kb_relative_information_score: 20709.8229, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5641, predictive_accuracy: 0.5649, prior_entropy: 1.5387, recall: 0.5649, relative_absolute_error: 0.6735, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5386, root_relative_squared_error: 1.1606, usercpu_time_millis: 19.941, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 19.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.5246, kappa: 0.2617, kb_relative_information_score: 17756.6446, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5241, predictive_accuracy: 0.5256, prior_entropy: 1.5387, recall: 0.5256, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5624, root_relative_squared_error: 1.2119, usercpu_time_millis: 2644.362, usercpu_time_millis_testing: 5.409, usercpu_time_millis_training: 2638.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.539, kappa: 0.2849, kb_relative_information_score: 18782.5023, mean_absolute_error: 0.3049, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5428, predictive_accuracy: 0.5426, prior_entropy: 1.5387, recall: 0.5426, relative_absolute_error: 0.708, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5522, root_relative_squared_error: 1.1899, usercpu_time_millis: 3.165, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 3.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.5692, kappa: 0.3312, kb_relative_information_score: 21173.4796, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5692, predictive_accuracy: 0.5702, prior_entropy: 1.5387, recall: 0.5702, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.1535, usercpu_time_millis: 1081.557, usercpu_time_millis_testing: 29.552, usercpu_time_millis_training: 1052.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.5691, kappa: 0.3312, kb_relative_information_score: 21165.8828, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5699, prior_entropy: 1.5387, recall: 0.5699, relative_absolute_error: 0.6657, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5355, root_relative_squared_error: 1.1539, usercpu_time_millis: 458.254, usercpu_time_millis_testing: 10.345, usercpu_time_millis_training: 447.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6143, f_measure: 0.4637, kappa: 0.2209, kb_relative_information_score: 14343.9425, mean_absolute_error: 0.3563, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.518, predictive_accuracy: 0.4655, prior_entropy: 1.5387, recall: 0.4655, relative_absolute_error: 0.8273, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.597, root_relative_squared_error: 1.2863, usercpu_time_millis: 5.027, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 4.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.5351, kappa: 0.2767, kb_relative_information_score: 18536.7381, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5349, predictive_accuracy: 0.5383, prior_entropy: 1.5387, recall: 0.5383, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.1955, usercpu_time_millis: 5028.365, usercpu_time_millis_testing: 0.525, usercpu_time_millis_training: 5027.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.5426, kappa: 0.2929, kb_relative_information_score: 19115.2824, mean_absolute_error: 0.3057, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5452, predictive_accuracy: 0.5415, prior_entropy: 1.5387, recall: 0.5415, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5529, root_relative_squared_error: 1.1914, usercpu_time_millis: 2805.431, usercpu_time_millis_testing: 6.08, usercpu_time_millis_training: 2799.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6652, f_measure: 0.5692, kappa: 0.3309, kb_relative_information_score: 21183.99, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5686, predictive_accuracy: 0.571, prior_entropy: 1.5387, recall: 0.571, relative_absolute_error: 0.664, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.1524, usercpu_time_millis: 4521.114, usercpu_time_millis_testing: 294.191, usercpu_time_millis_training: 4226.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.4004, kappa: 0.0675, kb_relative_information_score: 8552.133, mean_absolute_error: 0.389, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.3984, predictive_accuracy: 0.4166, prior_entropy: 1.5387, recall: 0.4166, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6237, root_relative_squared_error: 1.3439, usercpu_time_millis: 4.479, usercpu_time_millis_testing: 0.867, usercpu_time_millis_training: 3.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5822, f_measure: 0.4473, kappa: 0.1723, kb_relative_information_score: 13912.0068, mean_absolute_error: 0.3477, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.4645, predictive_accuracy: 0.4785, prior_entropy: 1.5387, recall: 0.4785, relative_absolute_error: 0.8072, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5896, root_relative_squared_error: 1.2706, usercpu_time_millis: 73.534, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 73.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.5121, kappa: 0.2559, kb_relative_information_score: 17023.9701, mean_absolute_error: 0.3267, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5202, predictive_accuracy: 0.5099, prior_entropy: 1.5387, recall: 0.5099, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5716, root_relative_squared_error: 1.2317, usercpu_time_millis: 26.149, usercpu_time_millis_testing: 23.71, usercpu_time_millis_training: 2.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.626, f_measure: 0.5227, kappa: 0.2563, kb_relative_information_score: 17641.0076, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5228, predictive_accuracy: 0.5258, prior_entropy: 1.5387, recall: 0.5258, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2116, usercpu_time_millis: 53.872, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 53.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.5208, kappa: 0.2542, kb_relative_information_score: 17484.6035, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5204, predictive_accuracy: 0.5234, prior_entropy: 1.5387, recall: 0.5234, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5637, root_relative_squared_error: 1.2146, usercpu_time_millis: 9.047, usercpu_time_millis_testing: 0.657, usercpu_time_millis_training: 8.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.5076, kappa: 0.2368, kb_relative_information_score: 16353.3298, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5069, predictive_accuracy: 0.5085, prior_entropy: 1.5387, recall: 0.5085, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5724, root_relative_squared_error: 1.2335, usercpu_time_millis: 82.268, usercpu_time_millis_testing: 82.122, usercpu_time_millis_training: 0.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6139, f_measure: 0.5076, kappa: 0.2372, kb_relative_information_score: 17335.8697, mean_absolute_error: 0.3123, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5395, predictive_accuracy: 0.5316, prior_entropy: 1.5387, recall: 0.5316, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5588, root_relative_squared_error: 1.2041, usercpu_time_millis: 67.703, usercpu_time_millis_testing: 0.596, usercpu_time_millis_training: 67.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5926, f_measure: 0.4725, kappa: 0.1841, kb_relative_information_score: 13565.4119, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.473, predictive_accuracy: 0.472, prior_entropy: 1.5387, recall: 0.472, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5933, root_relative_squared_error: 1.2784, usercpu_time_millis: 2671.525, usercpu_time_millis_testing: 249.224, usercpu_time_millis_training: 2422.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.5603, kappa: 0.3178, kb_relative_information_score: 20473.0482, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.56, predictive_accuracy: 0.5614, prior_entropy: 1.5387, recall: 0.5614, relative_absolute_error: 0.6789, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5408, root_relative_squared_error: 1.1652, usercpu_time_millis: 101.403, usercpu_time_millis_testing: 0.724, usercpu_time_millis_training: 100.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.5165, kappa: 0.2456, kb_relative_information_score: 17211.271, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5183, predictive_accuracy: 0.5222, prior_entropy: 1.5387, recall: 0.5222, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.2161, usercpu_time_millis: 97.222, usercpu_time_millis_testing: 0.99, usercpu_time_millis_training: 96.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.4995, kappa: 0.2437, kb_relative_information_score: 16701.7283, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5345, predictive_accuracy: 0.5213, prior_entropy: 1.5387, recall: 0.5213, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5649, root_relative_squared_error: 1.2173, usercpu_time_millis: 67.807, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 67.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6618, f_measure: 0.5636, kappa: 0.323, kb_relative_information_score: 20729.5567, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5641, predictive_accuracy: 0.5641, prior_entropy: 1.5387, recall: 0.5641, relative_absolute_error: 0.6746, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.539, root_relative_squared_error: 1.1616, usercpu_time_millis: 57.915, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 57.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.5386, kappa: 0.2853, kb_relative_information_score: 18778.4271, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5448, predictive_accuracy: 0.5423, prior_entropy: 1.5387, recall: 0.5423, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5524, root_relative_squared_error: 1.1903, usercpu_time_millis: 1287.012, usercpu_time_millis_testing: 17.658, usercpu_time_millis_training: 1269.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.518, kappa: 0.2565, kb_relative_information_score: 17847.4192, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5231, predictive_accuracy: 0.5291, prior_entropy: 1.5387, recall: 0.5291, relative_absolute_error: 0.7288, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5603, root_relative_squared_error: 1.2073, usercpu_time_millis: 374.661, usercpu_time_millis_testing: 1.567, usercpu_time_millis_training: 373.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.5668, kappa: 0.327, kb_relative_information_score: 13416.6194, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.566, predictive_accuracy: 0.5698, prior_entropy: 1.5387, recall: 0.5698, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9291, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7267, f_measure: 0.5457, kappa: 0.2947, kb_relative_information_score: 12155.7387, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.551, predictive_accuracy: 0.5522, prior_entropy: 1.5387, recall: 0.5522, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.9263, scimark_benchmark: 851.2074, usercpu_time_millis: 90840, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5679, kappa: 0.3283, kb_relative_information_score: 21071.2522, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5712, prior_entropy: 1.5387, recall: 0.5712, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1521, scimark_benchmark: 916.0735, usercpu_time_millis: 1273070, usercpu_time_millis_testing: 483510, usercpu_time_millis_training: 789560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5679, kappa: 0.3283, kb_relative_information_score: 21071.2522, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5712, prior_entropy: 1.5387, recall: 0.5712, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1521, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 941.6675, usercpu_time_millis: 470, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.5463, kappa: 0.2954, kb_relative_information_score: 14312.0556, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5453, predictive_accuracy: 0.5484, prior_entropy: 1.5387, recall: 0.5484, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9359, scimark_benchmark: 941.6675, usercpu_time_millis: 7270, usercpu_time_millis_testing: 360, usercpu_time_millis_training: 6910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 905.2959,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5679, kappa: 0.3283, kb_relative_information_score: 21071.2522, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5712, prior_entropy: 1.5387, recall: 0.5712, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1521, scimark_benchmark: 941.3847, usercpu_time_millis: 1239200, usercpu_time_millis_testing: 480310, usercpu_time_millis_training: 758890,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5679, kappa: 0.3283, kb_relative_information_score: 21071.2522, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5712, prior_entropy: 1.5387, recall: 0.5712, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1521, scimark_benchmark: 945.0194, usercpu_time_millis: 1498500, usercpu_time_millis_testing: 586650, usercpu_time_millis_training: 911850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5363, kappa: 0.2899, kb_relative_information_score: 13477.968, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5417, predictive_accuracy: 0.5369, prior_entropy: 1.5387, recall: 0.5369, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.949, scimark_benchmark: 922.5036, usercpu_time_millis: 440, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 922.5036, usercpu_time_millis: 400, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 938.838, usercpu_time_millis: 440, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 922.5036, usercpu_time_millis: 500, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.5463, kappa: 0.2954, kb_relative_information_score: 14312.0556, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5453, predictive_accuracy: 0.5484, prior_entropy: 1.5387, recall: 0.5484, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9359, scimark_benchmark: 935.627, usercpu_time_millis: 7550, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 7170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 879.4299, usercpu_time_millis: 420, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5668, kappa: 0.3277, kb_relative_information_score: 13873.0913, mean_absolute_error: 0.3565, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.566, predictive_accuracy: 0.5685, prior_entropy: 1.5387, recall: 0.5685, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.9176, scimark_benchmark: 946.6409, usercpu_time_millis: 6490, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 6220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.5111, kappa: 0.2418, kb_relative_information_score: 14081.4759, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5097, predictive_accuracy: 0.5135, prior_entropy: 1.5387, recall: 0.5135, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9956, scimark_benchmark: 942.3809, usercpu_time_millis: 32400, usercpu_time_millis_testing: 7130, usercpu_time_millis_training: 25270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.5668, kappa: 0.327, kb_relative_information_score: 13416.6194, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.566, predictive_accuracy: 0.5698, prior_entropy: 1.5387, recall: 0.5698, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9291, scimark_benchmark: 946.9304, usercpu_time_millis: 670, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.5679, kappa: 0.3283, kb_relative_information_score: 21071.2522, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5693, predictive_accuracy: 0.5712, prior_entropy: 1.5387, recall: 0.5712, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.1521, scimark_benchmark: 934.4732, usercpu_time_millis: 1308280, usercpu_time_millis_testing: 520450, usercpu_time_millis_training: 787830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5363, kappa: 0.2899, kb_relative_information_score: 13477.968, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5417, predictive_accuracy: 0.5369, prior_entropy: 1.5387, recall: 0.5369, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.949, scimark_benchmark: 1327.5842, usercpu_time_millis: 330, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1327.5842, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5363, kappa: 0.2899, kb_relative_information_score: 13477.968, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5417, predictive_accuracy: 0.5369, prior_entropy: 1.5387, recall: 0.5369, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.949, scimark_benchmark: 1335.974, usercpu_time_millis: 330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1332.9478, usercpu_time_millis: 420, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.5668, kappa: 0.327, kb_relative_information_score: 13416.6194, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.566, predictive_accuracy: 0.5698, prior_entropy: 1.5387, recall: 0.5698, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4312, root_relative_squared_error: 0.9291, scimark_benchmark: 1339.4412, usercpu_time_millis: 410, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.5463, kappa: 0.2954, kb_relative_information_score: 14312.0556, mean_absolute_error: 0.3527, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5453, predictive_accuracy: 0.5484, prior_entropy: 1.5387, recall: 0.5484, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.9359, scimark_benchmark: 1313.8988, usercpu_time_millis: 5690, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 5170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1303.5632, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1349.1517, usercpu_time_millis: 350, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 908.2231, usercpu_time_millis: 380, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5363, kappa: 0.2899, kb_relative_information_score: 13477.968, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5417, predictive_accuracy: 0.5369, prior_entropy: 1.5387, recall: 0.5369, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.949, scimark_benchmark: 1317.5857, usercpu_time_millis: 310, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1325.8468, usercpu_time_millis: 340, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 930.5999, usercpu_time_millis: 470, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 930.5999, usercpu_time_millis: 390, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.5363, kappa: 0.2899, kb_relative_information_score: 13477.968, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5417, predictive_accuracy: 0.5369, prior_entropy: 1.5387, recall: 0.5369, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.949, scimark_benchmark: 1309.0674, usercpu_time_millis: 380, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7336, f_measure: 0.5583, kappa: 0.3186, kb_relative_information_score: 13424.0164, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.5592, predictive_accuracy: 0.5588, prior_entropy: 1.5387, recall: 0.5588, relative_absolute_error: 0.8386, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9251, scimark_benchmark: 1306.9281, usercpu_time_millis: 330, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6913, f_measure: 0.5522, kappa: 0.3054, kb_relative_information_score: 17034.601, mean_absolute_error: 0.3251, mean_prior_absolute_error: 0.4307, number_of_instances: 55296, precision: 0.552, predictive_accuracy: 0.5529, prior_entropy: 1.5387, recall: 0.5529, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0311, scimark_benchmark: 1350.2591, usercpu_time_millis: 54260, usercpu_time_millis_testing: 6450, usercpu_time_millis_training: 47810,

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