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: 0.849, f_measure: 0.7539, kappa: 0.4964, kb_relative_information_score: 9221.8368, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7796, predictive_accuracy: 0.7649, prior_entropy: 0.9835, recall: 0.7649, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8644, scimark_benchmark: 1302.4813, usercpu_time_millis: 715.558, usercpu_time_millis_testing: 59.025, usercpu_time_millis_training: 656.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8259, kappa: 0.6419, kb_relative_information_score: 19236.5394, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8288, predictive_accuracy: 0.8279, prior_entropy: 0.9835, recall: 0.8279, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7232, scimark_benchmark: 1284.8742, usercpu_time_millis: 1366.176, usercpu_time_millis_testing: 76.6, usercpu_time_millis_training: 1289.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.8695, kappa: 0.7323, kb_relative_information_score: 26121.4052, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8697, predictive_accuracy: 0.8699, prior_entropy: 0.9835, recall: 0.8699, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6256, scimark_benchmark: 1292.635, usercpu_time_millis: 105.361, usercpu_time_millis_testing: 6.579, usercpu_time_millis_training: 98.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8903, kappa: 0.7752, kb_relative_information_score: 28222.107, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8903, predictive_accuracy: 0.8905, prior_entropy: 0.9835, recall: 0.8905, relative_absolute_error: 0.4088, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.5819, scimark_benchmark: 1295.8599, usercpu_time_millis: 979.002, usercpu_time_millis_testing: 30.847, usercpu_time_millis_training: 948.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.765, kappa: 0.5183, kb_relative_information_score: 10256.7, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7744, prior_entropy: 0.9835, recall: 0.7744, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8472, scimark_benchmark: 1297.4248, usercpu_time_millis: 343.828, usercpu_time_millis_testing: 26.642, usercpu_time_millis_training: 317.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7651, kappa: 0.5183, kb_relative_information_score: 10324.7182, mean_absolute_error: 0.3976, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7743, prior_entropy: 0.9835, recall: 0.7743, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.846, scimark_benchmark: 1292.6068, usercpu_time_millis: 791.479, usercpu_time_millis_testing: 58.309, usercpu_time_millis_training: 733.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8356, kappa: 0.6625, kb_relative_information_score: 22869.8643, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8359, predictive_accuracy: 0.8363, prior_entropy: 0.9835, recall: 0.8363, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.6886, scimark_benchmark: 1292.3977, usercpu_time_millis: 1362.835, usercpu_time_millis_testing: 42.539, usercpu_time_millis_training: 1320.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8457, kappa: 0.6835, kb_relative_information_score: 24344.9796, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8458, predictive_accuracy: 0.8462, prior_entropy: 0.9835, recall: 0.8462, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.6671, scimark_benchmark: 1302.3117, usercpu_time_millis: 619.269, usercpu_time_millis_testing: 16.772, usercpu_time_millis_training: 602.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.8826, kappa: 0.7592, kb_relative_information_score: 27196.3041, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8827, predictive_accuracy: 0.8829, prior_entropy: 0.9835, recall: 0.8829, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.5996, scimark_benchmark: 1293.6074, usercpu_time_millis: 829.922, usercpu_time_millis_testing: 43.93, usercpu_time_millis_training: 785.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.7915, kappa: 0.5708, kb_relative_information_score: 17507.3741, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7991, predictive_accuracy: 0.7957, prior_entropy: 0.9835, recall: 0.7957, relative_absolute_error: 0.6506, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7654, scimark_benchmark: 1299.7643, usercpu_time_millis: 322.614, usercpu_time_millis_testing: 26.814, usercpu_time_millis_training: 295.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.8675, kappa: 0.7283, kb_relative_information_score: 26252.3454, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8675, predictive_accuracy: 0.8678, prior_entropy: 0.9835, recall: 0.8678, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6302, scimark_benchmark: 1284.1651, usercpu_time_millis: 3368.944, usercpu_time_millis_testing: 73.79, usercpu_time_millis_training: 3295.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7509, kappa: 0.4906, kb_relative_information_score: 8595.1315, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.778, predictive_accuracy: 0.7625, prior_entropy: 0.9835, recall: 0.7625, relative_absolute_error: 0.8474, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.8738, scimark_benchmark: 1293.8967, usercpu_time_millis: 200.38, usercpu_time_millis_testing: 18.951, usercpu_time_millis_training: 181.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.8829, kappa: 0.76, kb_relative_information_score: 27837.4813, mean_absolute_error: 0.2025, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8828, predictive_accuracy: 0.883, prior_entropy: 0.9835, recall: 0.883, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2963, root_relative_squared_error: 0.5994, scimark_benchmark: 1305.7382, usercpu_time_millis: 2198.987, usercpu_time_millis_testing: 41.647, usercpu_time_millis_training: 2157.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8685, f_measure: 0.7642, kappa: 0.5167, kb_relative_information_score: 10236.6612, mean_absolute_error: 0.3984, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7864, predictive_accuracy: 0.7736, prior_entropy: 0.9835, recall: 0.7736, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8476, scimark_benchmark: 1288.3701, usercpu_time_millis: 568.928, usercpu_time_millis_testing: 52.028, usercpu_time_millis_training: 516.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8395, kappa: 0.67, kb_relative_information_score: 22239.769, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8406, predictive_accuracy: 0.8406, prior_entropy: 0.9835, recall: 0.8406, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6863, scimark_benchmark: 1293.9137, usercpu_time_millis: 483.738, usercpu_time_millis_testing: 25.854, usercpu_time_millis_training: 457.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.8484, kappa: 0.6888, kb_relative_information_score: 24016.9083, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8487, predictive_accuracy: 0.849, prior_entropy: 0.9835, recall: 0.849, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6644, scimark_benchmark: 1286.7193, usercpu_time_millis: 2427.661, usercpu_time_millis_testing: 81.118, usercpu_time_millis_training: 2346.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.844, kappa: 0.6794, kb_relative_information_score: 22650.7624, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8449, predictive_accuracy: 0.845, prior_entropy: 0.9835, recall: 0.845, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.6787, scimark_benchmark: 1303.5337, usercpu_time_millis: 1661.232, usercpu_time_millis_testing: 103.713, usercpu_time_millis_training: 1557.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9083, kappa: 0.8122, kb_relative_information_score: 30481.271, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9083, predictive_accuracy: 0.9084, prior_entropy: 0.9835, recall: 0.9084, relative_absolute_error: 0.3569, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.5378, scimark_benchmark: 1304.8092, usercpu_time_millis: 805.761, usercpu_time_millis_testing: 24.892, usercpu_time_millis_training: 780.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.823, kappa: 0.6369, kb_relative_information_score: 22027.7765, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.823, predictive_accuracy: 0.8236, prior_entropy: 0.9835, recall: 0.8236, relative_absolute_error: 0.5432, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.712, scimark_benchmark: 1305.6866, usercpu_time_millis: 2178.589, usercpu_time_millis_testing: 103.754, usercpu_time_millis_training: 2074.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.8138, kappa: 0.6169, kb_relative_information_score: 18913.4723, mean_absolute_error: 0.3027, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8159, predictive_accuracy: 0.8156, prior_entropy: 0.9835, recall: 0.8156, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7429, scimark_benchmark: 1288.7296, usercpu_time_millis: 12.705, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 11.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8483, kappa: 0.6887, kb_relative_information_score: 24776.4142, mean_absolute_error: 0.235, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8483, predictive_accuracy: 0.8487, prior_entropy: 0.9835, recall: 0.8487, relative_absolute_error: 0.4809, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.6629, scimark_benchmark: 1288.2733, usercpu_time_millis: 3750.829, usercpu_time_millis_testing: 107.347, usercpu_time_millis_training: 3643.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.7843, kappa: 0.5562, kb_relative_information_score: 17620.9536, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7941, predictive_accuracy: 0.7894, prior_entropy: 0.9835, recall: 0.7894, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7715, scimark_benchmark: 1304.2895, usercpu_time_millis: 694.042, usercpu_time_millis_testing: 57.224, usercpu_time_millis_training: 636.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.8535, kappa: 0.6994, kb_relative_information_score: 24831.5366, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8537, predictive_accuracy: 0.854, prior_entropy: 0.9835, recall: 0.854, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6528, scimark_benchmark: 1304.6353, usercpu_time_millis: 2729.433, usercpu_time_millis_testing: 102.278, usercpu_time_millis_training: 2627.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8422, kappa: 0.6759, kb_relative_information_score: 23329.2437, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8427, predictive_accuracy: 0.843, prior_entropy: 0.9835, recall: 0.843, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6774, scimark_benchmark: 1297.4809, usercpu_time_millis: 1066.515, usercpu_time_millis_testing: 64.882, usercpu_time_millis_training: 1001.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8317, kappa: 0.6542, kb_relative_information_score: 22190.5711, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8322, predictive_accuracy: 0.8325, prior_entropy: 0.9835, recall: 0.8325, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6981, scimark_benchmark: 1299.8961, usercpu_time_millis: 2470.482, usercpu_time_millis_testing: 108.129, usercpu_time_millis_training: 2362.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.8753, kappa: 0.7444, kb_relative_information_score: 27024.8064, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8753, predictive_accuracy: 0.8755, prior_entropy: 0.9835, recall: 0.8755, relative_absolute_error: 0.433, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.614, scimark_benchmark: 1292.3205, usercpu_time_millis: 1252.451, usercpu_time_millis_testing: 31.127, usercpu_time_millis_training: 1221.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8058, kappa: 0.6002, kb_relative_information_score: 17325.283, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8089, prior_entropy: 0.9835, recall: 0.8089, relative_absolute_error: 0.6588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.757, scimark_benchmark: 1290.0726, usercpu_time_millis: 605.975, usercpu_time_millis_testing: 37.446, usercpu_time_millis_training: 568.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8965, kappa: 0.788, kb_relative_information_score: 29541.2196, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8964, predictive_accuracy: 0.8965, prior_entropy: 0.9835, recall: 0.8965, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.5676, scimark_benchmark: 1290.9613, usercpu_time_millis: 1825.814, usercpu_time_millis_testing: 27.412, usercpu_time_millis_training: 1798.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8393, kappa: 0.6698, kb_relative_information_score: 22284.3644, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8404, predictive_accuracy: 0.8404, prior_entropy: 0.9835, recall: 0.8404, relative_absolute_error: 0.5445, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6852, scimark_benchmark: 1308.5636, usercpu_time_millis: 2555.569, usercpu_time_millis_testing: 115.516, usercpu_time_millis_training: 2440.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8198, kappa: 0.6293, kb_relative_information_score: 20132.5381, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.822, predictive_accuracy: 0.8216, prior_entropy: 0.9835, recall: 0.8216, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.7241, scimark_benchmark: 1306.1662, usercpu_time_millis: 994.326, usercpu_time_millis_testing: 70.112, usercpu_time_millis_training: 924.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9024, kappa: 0.8001, kb_relative_information_score: 30333.8418, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9024, predictive_accuracy: 0.9025, prior_entropy: 0.9835, recall: 0.9025, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5506, scimark_benchmark: 1299.7801, usercpu_time_millis: 209.777, usercpu_time_millis_testing: 4.464, usercpu_time_millis_training: 205.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.7653, kappa: 0.5188, kb_relative_information_score: 10343.849, mean_absolute_error: 0.3974, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7868, predictive_accuracy: 0.7745, prior_entropy: 0.9835, recall: 0.7745, relative_absolute_error: 0.8134, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8455, scimark_benchmark: 1291.9435, usercpu_time_millis: 559.799, usercpu_time_millis_testing: 42.723, usercpu_time_millis_training: 517.076,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8406, kappa: 0.6733, kb_relative_information_score: 24230.8008, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8406, predictive_accuracy: 0.8409, prior_entropy: 0.9835, recall: 0.8409, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6759, scimark_benchmark: 1279.7028, usercpu_time_millis: 3243.26, usercpu_time_millis_testing: 81.508, usercpu_time_millis_training: 3161.752,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8201, kappa: 0.6306, kb_relative_information_score: 21498.0851, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8203, predictive_accuracy: 0.8209, prior_entropy: 0.9835, recall: 0.8209, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3545, root_relative_squared_error: 0.7172, scimark_benchmark: 1304.7859, usercpu_time_millis: 737.727, usercpu_time_millis_testing: 36.139, usercpu_time_millis_training: 701.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.9002, kappa: 0.7954, kb_relative_information_score: 29230.5773, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9002, predictive_accuracy: 0.9003, prior_entropy: 0.9835, recall: 0.9003, relative_absolute_error: 0.3864, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2771, root_relative_squared_error: 0.5605, scimark_benchmark: 1296.3669, usercpu_time_millis: 833.279, usercpu_time_millis_testing: 30.437, usercpu_time_millis_training: 802.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.89, kappa: 0.7747, kb_relative_information_score: 28640.0899, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.89, predictive_accuracy: 0.8901, prior_entropy: 0.9835, recall: 0.8901, relative_absolute_error: 0.3968, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2876, root_relative_squared_error: 0.582, scimark_benchmark: 1279.3459, usercpu_time_millis: 4374.601, usercpu_time_millis_testing: 67.509, usercpu_time_millis_training: 4307.092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.8487, kappa: 0.6892, kb_relative_information_score: 23161.3625, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8495, predictive_accuracy: 0.8496, prior_entropy: 0.9835, recall: 0.8496, relative_absolute_error: 0.5253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6691, scimark_benchmark: 1291.2756, usercpu_time_millis: 382.308, usercpu_time_millis_testing: 19.701, usercpu_time_millis_training: 362.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8626, kappa: 0.7183, kb_relative_information_score: 26262.19, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8625, predictive_accuracy: 0.8628, prior_entropy: 0.9835, recall: 0.8628, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3152, root_relative_squared_error: 0.6376, scimark_benchmark: 1280.0481, usercpu_time_millis: 3073.005, usercpu_time_millis_testing: 59.761, usercpu_time_millis_training: 3013.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9141, kappa: 0.8241, kb_relative_information_score: 31788.4182, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.914, predictive_accuracy: 0.9141, prior_entropy: 0.9835, recall: 0.9141, relative_absolute_error: 0.3249, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.5178, scimark_benchmark: 1300.3952, usercpu_time_millis: 2582.796, usercpu_time_millis_testing: 41.521, usercpu_time_millis_training: 2541.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9027, kappa: 0.8007, kb_relative_information_score: 29935.5398, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9027, predictive_accuracy: 0.9028, prior_entropy: 0.9835, recall: 0.9028, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.552, scimark_benchmark: 1283.6987, usercpu_time_millis: 1114.541, usercpu_time_millis_testing: 30.485, usercpu_time_millis_training: 1084.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.8042, kappa: 0.5983, kb_relative_information_score: 20202.6865, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8041, predictive_accuracy: 0.8048, prior_entropy: 0.9835, recall: 0.8048, relative_absolute_error: 0.5839, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7474, scimark_benchmark: 1297.5781, usercpu_time_millis: 381.369, usercpu_time_millis_testing: 17.799, usercpu_time_millis_training: 363.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.8367, kappa: 0.6643, kb_relative_information_score: 21934.9091, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8379, predictive_accuracy: 0.8378, prior_entropy: 0.9835, recall: 0.8378, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6921, scimark_benchmark: 1282.6966, usercpu_time_millis: 1821.326, usercpu_time_millis_testing: 104.307, usercpu_time_millis_training: 1717.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8659, kappa: 0.725, kb_relative_information_score: 26394.3297, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.8661, prior_entropy: 0.9835, recall: 0.8661, relative_absolute_error: 0.4453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6324, scimark_benchmark: 1283.4578, usercpu_time_millis: 4276.747, usercpu_time_millis_testing: 71.834, usercpu_time_millis_training: 4204.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8613, kappa: 0.7154, kb_relative_information_score: 25889.5382, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8613, predictive_accuracy: 0.8616, prior_entropy: 0.9835, recall: 0.8616, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.6401, scimark_benchmark: 1290.6814, usercpu_time_millis: 5989.598, usercpu_time_millis_testing: 116.911, usercpu_time_millis_training: 5872.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8296, kappa: 0.6502, kb_relative_information_score: 22615.6978, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8297, predictive_accuracy: 0.8302, prior_entropy: 0.9835, recall: 0.8302, relative_absolute_error: 0.5308, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6973, scimark_benchmark: 1284.894, usercpu_time_millis: 1766.355, usercpu_time_millis_testing: 66.174, usercpu_time_millis_training: 1700.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7745, kappa: 0.536, kb_relative_information_score: 17390.0399, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7845, predictive_accuracy: 0.78, prior_entropy: 0.9835, recall: 0.78, relative_absolute_error: 0.6501, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.7805, scimark_benchmark: 1296.6132, usercpu_time_millis: 147.142, usercpu_time_millis_testing: 14.834, usercpu_time_millis_training: 132.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7506, kappa: 0.4898, kb_relative_information_score: 8660.1918, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7775, predictive_accuracy: 0.7621, prior_entropy: 0.9835, recall: 0.7621, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4314, root_relative_squared_error: 0.8728, scimark_benchmark: 1290.7525, usercpu_time_millis: 414.844, usercpu_time_millis_testing: 30.176, usercpu_time_millis_training: 384.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9003, kappa: 0.7959, kb_relative_information_score: 30071.3577, mean_absolute_error: 0.1777, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9003, predictive_accuracy: 0.9004, prior_entropy: 0.9835, recall: 0.9004, relative_absolute_error: 0.3637, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.5558, scimark_benchmark: 1304.5199, usercpu_time_millis: 2052.145, usercpu_time_millis_testing: 30.175, usercpu_time_millis_training: 2021.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.805, kappa: 0.5996, kb_relative_information_score: 19678.3393, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8053, predictive_accuracy: 0.806, prior_entropy: 0.9835, recall: 0.806, relative_absolute_error: 0.5967, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.7502, scimark_benchmark: 1308.6978, usercpu_time_millis: 677.089, usercpu_time_millis_testing: 41.82, usercpu_time_millis_training: 635.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8166, kappa: 0.624, kb_relative_information_score: 21490.0764, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8164, predictive_accuracy: 0.8169, prior_entropy: 0.9835, recall: 0.8169, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7258, scimark_benchmark: 1305.1777, usercpu_time_millis: 252.025, usercpu_time_millis_testing: 8.299, usercpu_time_millis_training: 243.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8293, kappa: 0.6499, kb_relative_information_score: 22737.1153, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8294, predictive_accuracy: 0.8299, prior_entropy: 0.9835, recall: 0.8299, relative_absolute_error: 0.5267, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.6994, scimark_benchmark: 1305.2578, usercpu_time_millis: 2261.986, usercpu_time_millis_testing: 63.591, usercpu_time_millis_training: 2198.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.8436, kappa: 0.6787, kb_relative_information_score: 23182.2263, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8444, prior_entropy: 0.9835, recall: 0.8444, relative_absolute_error: 0.5219, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3343, root_relative_squared_error: 0.6763, scimark_benchmark: 1307.3215, usercpu_time_millis: 1359.621, usercpu_time_millis_testing: 73.215, usercpu_time_millis_training: 1286.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9069, f_measure: 0.8217, kappa: 0.6334, kb_relative_information_score: 20367.213, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8236, predictive_accuracy: 0.8234, prior_entropy: 0.9835, recall: 0.8234, relative_absolute_error: 0.5869, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7195, scimark_benchmark: 1284.1039, usercpu_time_millis: 2079.091, usercpu_time_millis_testing: 95.894, usercpu_time_millis_training: 1983.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8312, kappa: 0.6527, kb_relative_information_score: 19758.3749, mean_absolute_error: 0.2966, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8337, predictive_accuracy: 0.8329, prior_entropy: 0.9835, recall: 0.8329, relative_absolute_error: 0.607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.713, scimark_benchmark: 1289.5715, usercpu_time_millis: 1443.974, usercpu_time_millis_testing: 76.441, usercpu_time_millis_training: 1367.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8432, kappa: 0.6782, kb_relative_information_score: 23807.3618, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8433, predictive_accuracy: 0.8438, prior_entropy: 0.9835, recall: 0.8438, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6732, scimark_benchmark: 1300.6864, usercpu_time_millis: 2299.55, usercpu_time_millis_testing: 69.428, usercpu_time_millis_training: 2230.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7649, kappa: 0.5181, kb_relative_information_score: 10257.4521, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7869, predictive_accuracy: 0.7743, prior_entropy: 0.9835, recall: 0.7743, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4187, root_relative_squared_error: 0.8471, scimark_benchmark: 1295.7068, usercpu_time_millis: 585.916, usercpu_time_millis_testing: 45.404, usercpu_time_millis_training: 540.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8259, kappa: 0.6421, kb_relative_information_score: 21329.8834, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8271, predictive_accuracy: 0.8272, prior_entropy: 0.9835, recall: 0.8272, relative_absolute_error: 0.5631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.351, root_relative_squared_error: 0.71, scimark_benchmark: 1303.6074, usercpu_time_millis: 1237.463, usercpu_time_millis_testing: 86.979, usercpu_time_millis_training: 1150.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.8658, kappa: 0.7249, kb_relative_information_score: 26232.5466, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8658, predictive_accuracy: 0.8661, prior_entropy: 0.9835, recall: 0.8661, relative_absolute_error: 0.4502, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.6314, scimark_benchmark: 1299.6579, usercpu_time_millis: 1639.412, usercpu_time_millis_testing: 53.814, usercpu_time_millis_training: 1585.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9289, f_measure: 0.8459, kappa: 0.6834, kb_relative_information_score: 22880.636, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8468, predictive_accuracy: 0.8468, prior_entropy: 0.9835, recall: 0.8468, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6746, scimark_benchmark: 1299.0784, usercpu_time_millis: 548.704, usercpu_time_millis_testing: 30.046, usercpu_time_millis_training: 518.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8866, f_measure: 0.7991, kappa: 0.5865, kb_relative_information_score: 16790.9845, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8055, predictive_accuracy: 0.8027, prior_entropy: 0.9835, recall: 0.8027, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.766, scimark_benchmark: 1306.7028, usercpu_time_millis: 645.334, usercpu_time_millis_testing: 44.418, usercpu_time_millis_training: 600.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8618, kappa: 0.7165, kb_relative_information_score: 25695.6185, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8619, predictive_accuracy: 0.8622, prior_entropy: 0.9835, recall: 0.8622, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6387, scimark_benchmark: 1299.3124, usercpu_time_millis: 1441.671, usercpu_time_millis_testing: 33.174, usercpu_time_millis_training: 1408.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9062, kappa: 0.808, kb_relative_information_score: 32122.9317, mean_absolute_error: 0.1519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9062, predictive_accuracy: 0.9063, prior_entropy: 0.9835, recall: 0.9063, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5353, scimark_benchmark: 1286.7936, usercpu_time_millis: 51.059, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 48.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8193, kappa: 0.6292, kb_relative_information_score: 21664.3376, mean_absolute_error: 0.2693, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8193, predictive_accuracy: 0.8199, prior_entropy: 0.9835, recall: 0.8199, relative_absolute_error: 0.5511, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7191, scimark_benchmark: 1301.5935, usercpu_time_millis: 1585.929, usercpu_time_millis_testing: 60.661, usercpu_time_millis_training: 1525.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.8158, kappa: 0.621, kb_relative_information_score: 19644.0829, mean_absolute_error: 0.2946, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8184, predictive_accuracy: 0.8178, prior_entropy: 0.9835, recall: 0.8178, relative_absolute_error: 0.603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7319, scimark_benchmark: 1290.8549, usercpu_time_millis: 1571.335, usercpu_time_millis_testing: 105.013, usercpu_time_millis_training: 1466.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.7641, kappa: 0.5165, kb_relative_information_score: 10481.7239, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7864, predictive_accuracy: 0.7736, prior_entropy: 0.9835, recall: 0.7736, relative_absolute_error: 0.8103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8444, scimark_benchmark: 1303.0605, usercpu_time_millis: 56.736, usercpu_time_millis_testing: 5.175, usercpu_time_millis_training: 51.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8315, kappa: 0.6543, kb_relative_information_score: 23456.1344, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8315, predictive_accuracy: 0.832, prior_entropy: 0.9835, recall: 0.832, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.6921, scimark_benchmark: 1281.0512, usercpu_time_millis: 1280.975, usercpu_time_millis_testing: 29.883, usercpu_time_millis_training: 1251.092,

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

OpenML bootcamp

From your own software

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

OpenML APIs