Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 146012 Supervised Classification electricity 25374 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8456, kappa: 0.6832, kb_relative_information_score: 26398.7617, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6696, scimark_benchmark: 1853.3841, usercpu_time_millis: 32.567, usercpu_time_millis_testing: 32.497, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8432, kappa: 0.6786, kb_relative_information_score: 28043.5791, mean_absolute_error: 0.1905, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6783, scimark_benchmark: 1845.779, usercpu_time_millis: 30.227, usercpu_time_millis_testing: 29.997, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8432, kappa: 0.6786, kb_relative_information_score: 28348.5047, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3807, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6857, scimark_benchmark: 1859.1356, usercpu_time_millis: 29.994, usercpu_time_millis_testing: 29.769, usercpu_time_millis_training: 0.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8336, kappa: 0.6595, kb_relative_information_score: 29031.417, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7202, scimark_benchmark: 1857.7641, usercpu_time_millis: 28.77, usercpu_time_millis_testing: 28.695, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8443, kappa: 0.6808, kb_relative_information_score: 27759.5198, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8446, prior_entropy: 0.9835, recall: 0.8446, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3331, root_relative_squared_error: 0.6738, scimark_benchmark: 1854.4951, usercpu_time_millis: 30.124, usercpu_time_millis_testing: 30.051, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8445, kappa: 0.681, kb_relative_information_score: 25887.512, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8447, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.6719, scimark_benchmark: 1043.3954, usercpu_time_millis: 66.348, usercpu_time_millis_testing: 66.1, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8401, kappa: 0.6717, kb_relative_information_score: 24838.7813, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8405, predictive_accuracy: 0.8409, prior_entropy: 0.9835, recall: 0.8409, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6804, scimark_benchmark: 1838.0313, usercpu_time_millis: 35.52, usercpu_time_millis_testing: 35.447, usercpu_time_millis_training: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8394, kappa: 0.6702, kb_relative_information_score: 24625.086, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.84, predictive_accuracy: 0.8403, prior_entropy: 0.9835, recall: 0.8403, relative_absolute_error: 0.4793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.6825, scimark_benchmark: 1853.9849, usercpu_time_millis: 36.497, usercpu_time_millis_testing: 36.271, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8455, kappa: 0.6831, kb_relative_information_score: 27249.0149, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6697, scimark_benchmark: 1814.4243, usercpu_time_millis: 36.348, usercpu_time_millis_testing: 36.221, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8408, kappa: 0.6731, kb_relative_information_score: 24951.7178, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8411, predictive_accuracy: 0.8415, prior_entropy: 0.9835, recall: 0.8415, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6793, scimark_benchmark: 1857.5664, usercpu_time_millis: 34.232, usercpu_time_millis_testing: 34.031, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8398, kappa: 0.6711, kb_relative_information_score: 24730.018, mean_absolute_error: 0.233, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8403, predictive_accuracy: 0.8406, prior_entropy: 0.9835, recall: 0.8406, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.6815, scimark_benchmark: 1856.1949, usercpu_time_millis: 34.748, usercpu_time_millis_testing: 34.543, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8388, kappa: 0.669, kb_relative_information_score: 24523.7139, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8397, prior_entropy: 0.9835, recall: 0.8397, relative_absolute_error: 0.4818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3379, root_relative_squared_error: 0.6836, scimark_benchmark: 1847.4562, usercpu_time_millis: 37.015, usercpu_time_millis_testing: 36.794, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8425, kappa: 0.6767, kb_relative_information_score: 25450.7427, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8428, predictive_accuracy: 0.8432, prior_entropy: 0.9835, recall: 0.8432, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.675, scimark_benchmark: 1839.5885, usercpu_time_millis: 34.402, usercpu_time_millis_testing: 34.32, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.845, kappa: 0.6821, kb_relative_information_score: 26591.5519, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8451, predictive_accuracy: 0.8455, prior_entropy: 0.9835, recall: 0.8455, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6691, scimark_benchmark: 1858.0974, usercpu_time_millis: 32.684, usercpu_time_millis_testing: 32.609, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8456, kappa: 0.6832, kb_relative_information_score: 26398.7617, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.846, prior_entropy: 0.9835, recall: 0.846, relative_absolute_error: 0.4348, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6696, scimark_benchmark: 1814.2645, usercpu_time_millis: 37.898, usercpu_time_millis_testing: 37.772, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8455, kappa: 0.6831, kb_relative_information_score: 27249.0149, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8458, prior_entropy: 0.9835, recall: 0.8458, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.331, root_relative_squared_error: 0.6697, scimark_benchmark: 1842.6679, usercpu_time_millis: 31.274, usercpu_time_millis_testing: 31.2, usercpu_time_millis_training: 0.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8336, kappa: 0.6595, kb_relative_information_score: 29720.2004, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8254, scimark_benchmark: 1799.4528, usercpu_time_millis: 33.463, usercpu_time_millis_testing: 33.303, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.8452, kappa: 0.6825, kb_relative_information_score: 26796.9992, mean_absolute_error: 0.2073, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8452, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.4243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6689, scimark_benchmark: 1852.9259, usercpu_time_millis: 31.634, usercpu_time_millis_testing: 31.559, usercpu_time_millis_training: 0.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8336, kappa: 0.6595, kb_relative_information_score: 29720.2004, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.408, root_relative_squared_error: 0.8254, scimark_benchmark: 1848.916, usercpu_time_millis: 27.332, usercpu_time_millis_testing: 27.263, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.867, kappa: 0.7271, kb_relative_information_score: 26064.3709, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8671, predictive_accuracy: 0.8673, prior_entropy: 0.9835, recall: 0.8673, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3111, root_relative_squared_error: 0.6294, scimark_benchmark: 1305.9709, usercpu_time_millis: 1985.454, usercpu_time_millis_testing: 51.637, usercpu_time_millis_training: 1933.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8602, kappa: 0.713, kb_relative_information_score: 24848.5443, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8606, predictive_accuracy: 0.8608, prior_entropy: 0.9835, recall: 0.8608, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6445, scimark_benchmark: 1288.7483, usercpu_time_millis: 869.954, usercpu_time_millis_testing: 32.2, usercpu_time_millis_training: 837.754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8405, kappa: 0.672, kb_relative_information_score: 20447.6639, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8425, predictive_accuracy: 0.8419, prior_entropy: 0.9835, recall: 0.8419, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6993, scimark_benchmark: 1303.9267, usercpu_time_millis: 1069.977, usercpu_time_millis_testing: 64.5, usercpu_time_millis_training: 1005.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9083, kappa: 0.8122, kb_relative_information_score: 31227.3734, mean_absolute_error: 0.1646, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9082, predictive_accuracy: 0.9083, prior_entropy: 0.9835, recall: 0.9083, relative_absolute_error: 0.3368, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2636, root_relative_squared_error: 0.5333, scimark_benchmark: 1293.9302, usercpu_time_millis: 3277.522, usercpu_time_millis_testing: 55.908, usercpu_time_millis_training: 3221.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8346, kappa: 0.6607, kb_relative_information_score: 23284.0837, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8346, predictive_accuracy: 0.8351, prior_entropy: 0.9835, recall: 0.8351, relative_absolute_error: 0.5143, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 1294.6529, usercpu_time_millis: 3405.457, usercpu_time_millis_testing: 67.84, usercpu_time_millis_training: 3337.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9249, kappa: 0.8462, kb_relative_information_score: 33866.7617, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9249, predictive_accuracy: 0.9249, prior_entropy: 0.9835, recall: 0.9249, relative_absolute_error: 0.2741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4832, scimark_benchmark: 1300.5572, usercpu_time_millis: 1631.846, usercpu_time_millis_testing: 25.516, usercpu_time_millis_training: 1606.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8887, kappa: 0.7719, kb_relative_information_score: 27971.977, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 0.9835, recall: 0.8889, relative_absolute_error: 0.4146, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2897, root_relative_squared_error: 0.5861, scimark_benchmark: 1305.9946, usercpu_time_millis: 715.66, usercpu_time_millis_testing: 22.993, usercpu_time_millis_training: 692.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8963, kappa: 0.7875, kb_relative_information_score: 28742.813, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8963, predictive_accuracy: 0.8965, prior_entropy: 0.9835, recall: 0.8965, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5697, scimark_benchmark: 1293.2505, usercpu_time_millis: 948.583, usercpu_time_millis_testing: 35.63, usercpu_time_millis_training: 912.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8469, kappa: 0.686, kb_relative_information_score: 24788.6444, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.847, predictive_accuracy: 0.8473, prior_entropy: 0.9835, recall: 0.8473, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6636, scimark_benchmark: 1301.1909, usercpu_time_millis: 57.731, usercpu_time_millis_testing: 2.335, usercpu_time_millis_training: 55.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7985, kappa: 0.5852, kb_relative_information_score: 18691.2174, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8035, predictive_accuracy: 0.8017, prior_entropy: 0.9835, recall: 0.8017, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.7584, scimark_benchmark: 1277.3499, usercpu_time_millis: 615.434, usercpu_time_millis_testing: 48.509, usercpu_time_millis_training: 566.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8626, kappa: 0.7183, kb_relative_information_score: 25923.199, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8627, predictive_accuracy: 0.863, prior_entropy: 0.9835, recall: 0.863, relative_absolute_error: 0.4565, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3151, root_relative_squared_error: 0.6376, scimark_benchmark: 1261.841, usercpu_time_millis: 6863.976, usercpu_time_millis_testing: 123.836, usercpu_time_millis_training: 6740.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.7551, kappa: 0.4986, kb_relative_information_score: 9565.3547, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7797, predictive_accuracy: 0.7657, prior_entropy: 0.9835, recall: 0.7657, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8592, scimark_benchmark: 1306.6876, usercpu_time_millis: 406.035, usercpu_time_millis_testing: 38.865, usercpu_time_millis_training: 367.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.8235, kappa: 0.6374, kb_relative_information_score: 21279.2471, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8243, predictive_accuracy: 0.8247, prior_entropy: 0.9835, recall: 0.8247, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7143, scimark_benchmark: 1276.456, usercpu_time_millis: 1972.48, usercpu_time_millis_testing: 84.269, usercpu_time_millis_training: 1888.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8808, f_measure: 0.7904, kappa: 0.5688, kb_relative_information_score: 16149.2276, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7993, predictive_accuracy: 0.7951, prior_entropy: 0.9835, recall: 0.7951, relative_absolute_error: 0.6843, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.776, scimark_benchmark: 1291.8933, usercpu_time_millis: 851.254, usercpu_time_millis_testing: 59.306, usercpu_time_millis_training: 791.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8329, kappa: 0.657, kb_relative_information_score: 22855.0674, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8331, predictive_accuracy: 0.8336, prior_entropy: 0.9835, recall: 0.8336, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3423, root_relative_squared_error: 0.6925, scimark_benchmark: 1287.192, usercpu_time_millis: 1861.159, usercpu_time_millis_testing: 93.783, usercpu_time_millis_training: 1767.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8315, kappa: 0.6534, kb_relative_information_score: 19767.5352, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.834, predictive_accuracy: 0.8332, prior_entropy: 0.9835, recall: 0.8332, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.713, scimark_benchmark: 1295.7111, usercpu_time_millis: 1751.782, usercpu_time_millis_testing: 94.98, usercpu_time_millis_training: 1656.802,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8708, kappa: 0.7351, kb_relative_information_score: 26644.8395, mean_absolute_error: 0.2152, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8708, predictive_accuracy: 0.871, prior_entropy: 0.9835, recall: 0.871, relative_absolute_error: 0.4404, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3087, root_relative_squared_error: 0.6246, scimark_benchmark: 1289.7364, usercpu_time_millis: 5202.718, usercpu_time_millis_testing: 107.196, usercpu_time_millis_training: 5095.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8096, kappa: 0.6093, kb_relative_information_score: 20283.3349, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8096, predictive_accuracy: 0.8103, prior_entropy: 0.9835, recall: 0.8103, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.7421, scimark_benchmark: 1268.5794, usercpu_time_millis: 740.346, usercpu_time_millis_testing: 38.825, usercpu_time_millis_training: 701.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.8842, kappa: 0.7627, kb_relative_information_score: 27967.7418, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8841, predictive_accuracy: 0.8843, prior_entropy: 0.9835, recall: 0.8843, relative_absolute_error: 0.4119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.5955, scimark_benchmark: 1265.2718, usercpu_time_millis: 1737.548, usercpu_time_millis_testing: 43.803, usercpu_time_millis_training: 1693.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8466, kappa: 0.6849, kb_relative_information_score: 23505.0778, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8471, predictive_accuracy: 0.8473, prior_entropy: 0.9835, recall: 0.8473, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6703, scimark_benchmark: 1271.969, usercpu_time_millis: 672.293, usercpu_time_millis_testing: 39.724, usercpu_time_millis_training: 632.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.7649, kappa: 0.5179, kb_relative_information_score: 10359.375, mean_absolute_error: 0.3973, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7863, predictive_accuracy: 0.7741, prior_entropy: 0.9835, recall: 0.7741, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8454, scimark_benchmark: 1278.4802, usercpu_time_millis: 971.451, usercpu_time_millis_testing: 76.913, usercpu_time_millis_training: 894.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.7646, kappa: 0.5176, kb_relative_information_score: 10121.1309, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.774, prior_entropy: 0.9835, recall: 0.774, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4198, root_relative_squared_error: 0.8493, scimark_benchmark: 1253.7965, usercpu_time_millis: 62.088, usercpu_time_millis_testing: 3.521, usercpu_time_millis_training: 58.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.8393, kappa: 0.6703, kb_relative_information_score: 23508.3584, mean_absolute_error: 0.2496, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8394, predictive_accuracy: 0.8398, prior_entropy: 0.9835, recall: 0.8398, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.6815, scimark_benchmark: 1263.0339, usercpu_time_millis: 2102.337, usercpu_time_millis_testing: 97.247, usercpu_time_millis_training: 2005.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9233, kappa: 0.843, kb_relative_information_score: 32950.3294, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9233, predictive_accuracy: 0.9233, prior_entropy: 0.9835, recall: 0.9233, relative_absolute_error: 0.298, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4932, scimark_benchmark: 1253.8156, usercpu_time_millis: 1333.036, usercpu_time_millis_testing: 28.198, usercpu_time_millis_training: 1304.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8474, kappa: 0.6864, kb_relative_information_score: 23028.1832, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8481, predictive_accuracy: 0.8482, prior_entropy: 0.9835, recall: 0.8482, relative_absolute_error: 0.5282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6711, scimark_benchmark: 1237.3893, usercpu_time_millis: 1903.885, usercpu_time_millis_testing: 81.868, usercpu_time_millis_training: 1822.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8608, kappa: 0.7145, kb_relative_information_score: 25580.7107, mean_absolute_error: 0.2277, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8609, predictive_accuracy: 0.8612, prior_entropy: 0.9835, recall: 0.8612, relative_absolute_error: 0.4659, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6401, scimark_benchmark: 1250.136, usercpu_time_millis: 975.248, usercpu_time_millis_testing: 44.343, usercpu_time_millis_training: 930.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8898, f_measure: 0.8107, kappa: 0.6117, kb_relative_information_score: 20672.6081, mean_absolute_error: 0.2802, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8106, predictive_accuracy: 0.8112, prior_entropy: 0.9835, recall: 0.8112, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.738, scimark_benchmark: 1268.8535, usercpu_time_millis: 604.509, usercpu_time_millis_testing: 29.769, usercpu_time_millis_training: 574.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.7642, kappa: 0.5166, kb_relative_information_score: 10304.8453, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7856, predictive_accuracy: 0.7734, prior_entropy: 0.9835, recall: 0.7734, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8464, scimark_benchmark: 1262.2734, usercpu_time_millis: 769.902, usercpu_time_millis_testing: 59.691, usercpu_time_millis_training: 710.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8207, kappa: 0.632, kb_relative_information_score: 21861.4359, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8208, predictive_accuracy: 0.8214, prior_entropy: 0.9835, recall: 0.8214, relative_absolute_error: 0.547, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7143, scimark_benchmark: 1236.5448, usercpu_time_millis: 2598.814, usercpu_time_millis_testing: 81.683, usercpu_time_millis_training: 2517.131,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8239, kappa: 0.6387, kb_relative_information_score: 22014.7673, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8241, predictive_accuracy: 0.8246, prior_entropy: 0.9835, recall: 0.8246, relative_absolute_error: 0.5443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7094, scimark_benchmark: 1264.7226, usercpu_time_millis: 1419.479, usercpu_time_millis_testing: 76.282, usercpu_time_millis_training: 1343.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.8503, kappa: 0.6922, kb_relative_information_score: 21213.1108, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8518, predictive_accuracy: 0.8514, prior_entropy: 0.9835, recall: 0.8514, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6843, scimark_benchmark: 1266.4238, usercpu_time_millis: 474.078, usercpu_time_millis_testing: 29.897, usercpu_time_millis_training: 444.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8372, kappa: 0.6658, kb_relative_information_score: 23082.7032, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8375, predictive_accuracy: 0.8379, prior_entropy: 0.9835, recall: 0.8379, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6845, scimark_benchmark: 1251.6003, usercpu_time_millis: 1197.731, usercpu_time_millis_testing: 57.001, usercpu_time_millis_training: 1140.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9283, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 23683.8233, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8454, predictive_accuracy: 0.8457, prior_entropy: 0.9835, recall: 0.8457, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3315, root_relative_squared_error: 0.6706, scimark_benchmark: 1254.0459, usercpu_time_millis: 1555.181, usercpu_time_millis_testing: 69.362, usercpu_time_millis_training: 1485.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.825, kappa: 0.6399, kb_relative_information_score: 19176.3581, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8279, predictive_accuracy: 0.8269, prior_entropy: 0.9835, recall: 0.8269, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7245, scimark_benchmark: 1246.9014, usercpu_time_millis: 1148.353, usercpu_time_millis_testing: 69.065, usercpu_time_millis_training: 1079.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.8712, kappa: 0.7358, kb_relative_information_score: 26153.1271, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8714, predictive_accuracy: 0.8716, prior_entropy: 0.9835, recall: 0.8716, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6225, scimark_benchmark: 1254.6801, usercpu_time_millis: 571.061, usercpu_time_millis_testing: 34.027, usercpu_time_millis_training: 537.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8287, kappa: 0.6476, kb_relative_information_score: 19504.6679, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8315, predictive_accuracy: 0.8306, prior_entropy: 0.9835, recall: 0.8306, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7183, scimark_benchmark: 1260.0986, usercpu_time_millis: 1428.166, usercpu_time_millis_testing: 91.549, usercpu_time_millis_training: 1336.617,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8862, f_measure: 0.8086, kappa: 0.6066, kb_relative_information_score: 19786.3311, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8093, predictive_accuracy: 0.8098, prior_entropy: 0.9835, recall: 0.8098, relative_absolute_error: 0.5946, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.7464, scimark_benchmark: 1255.9039, usercpu_time_millis: 623.239, usercpu_time_millis_testing: 39.519, usercpu_time_millis_training: 583.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.7657, kappa: 0.5197, kb_relative_information_score: 10342.3171, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7875, predictive_accuracy: 0.7749, prior_entropy: 0.9835, recall: 0.7749, relative_absolute_error: 0.8133, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8458, scimark_benchmark: 1257.3127, usercpu_time_millis: 307.355, usercpu_time_millis_testing: 24.036, usercpu_time_millis_training: 283.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7657, kappa: 0.5197, kb_relative_information_score: 10356.282, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7875, predictive_accuracy: 0.7749, prior_entropy: 0.9835, recall: 0.7749, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8457, scimark_benchmark: 1241.6961, usercpu_time_millis: 155.465, usercpu_time_millis_testing: 10.947, usercpu_time_millis_training: 144.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8919, kappa: 0.7785, kb_relative_information_score: 28764.8941, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8918, predictive_accuracy: 0.892, prior_entropy: 0.9835, recall: 0.892, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.5785, scimark_benchmark: 1305.6215, usercpu_time_millis: 1648.693, usercpu_time_millis_testing: 43.983, usercpu_time_millis_training: 1604.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8556, kappa: 0.7037, kb_relative_information_score: 25192.4477, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8558, predictive_accuracy: 0.8561, prior_entropy: 0.9835, recall: 0.8561, relative_absolute_error: 0.4739, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6475, scimark_benchmark: 1304.8562, usercpu_time_millis: 2153.523, usercpu_time_millis_testing: 73.719, usercpu_time_millis_training: 2079.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8533, kappa: 0.699, kb_relative_information_score: 25380.2809, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8533, predictive_accuracy: 0.8537, prior_entropy: 0.9835, recall: 0.8537, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.322, root_relative_squared_error: 0.6514, scimark_benchmark: 1307.4974, usercpu_time_millis: 2396.245, usercpu_time_millis_testing: 44.583, usercpu_time_millis_training: 2351.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8438, kappa: 0.6789, kb_relative_information_score: 20757.911, mean_absolute_error: 0.2865, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8456, predictive_accuracy: 0.8451, prior_entropy: 0.9835, recall: 0.8451, relative_absolute_error: 0.5863, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.6933, scimark_benchmark: 1300.0895, usercpu_time_millis: 1238.846, usercpu_time_millis_testing: 55.73, usercpu_time_millis_training: 1183.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9092, kappa: 0.814, kb_relative_information_score: 30696.1905, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9092, predictive_accuracy: 0.9093, prior_entropy: 0.9835, recall: 0.9093, relative_absolute_error: 0.3516, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5347, scimark_benchmark: 1306.8876, usercpu_time_millis: 610.548, usercpu_time_millis_testing: 16.241, usercpu_time_millis_training: 594.307,

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