Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 1943 Supervised Classification electricity 198 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 972.587, usercpu_time_millis: 5770, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 851.2074, usercpu_time_millis: 28280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 28230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 941.6675, usercpu_time_millis: 464550, usercpu_time_millis_testing: 201550, usercpu_time_millis_training: 263000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 941.6675, usercpu_time_millis: 440, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 316934.1926, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 941.6675, usercpu_time_millis: 5190, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 931.771, usercpu_time_millis: 23540, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 21370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 947.1781, usercpu_time_millis: 389970, usercpu_time_millis_testing: 147850, usercpu_time_millis_training: 242120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 941.3847, usercpu_time_millis: 370, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 974.2014, usercpu_time_millis: 870, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8484, kappa: 0.6888, kb_relative_information_score: 273508.6583, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8485, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 947.1781, usercpu_time_millis: 15510, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 15380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 943.1009, usercpu_time_millis: 25420, usercpu_time_millis_testing: 2230, usercpu_time_millis_training: 23190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 819.5729, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 935.2002, usercpu_time_millis: 4920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 933.3455, usercpu_time_millis: 426820, usercpu_time_millis_testing: 166660, usercpu_time_millis_training: 260160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 938.1282, usercpu_time_millis: 420, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 903.2737, usercpu_time_millis: 450, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 941.4991, usercpu_time_millis: 520, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 316934.1926, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 933.3455, usercpu_time_millis: 4850, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8882, kappa: 0.7704, kb_relative_information_score: 276564.6684, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8889, predictive_accuracy: 0.8887, prior_entropy: 0.9835, recall: 0.8887, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2906, root_relative_squared_error: 0.5879, scimark_benchmark: 919.3788, usercpu_time_millis: 3107660, usercpu_time_millis_testing: 169060, usercpu_time_millis_training: 2938600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 945.6228, usercpu_time_millis: 420, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8484, kappa: 0.6888, kb_relative_information_score: 273508.6583, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8485, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 934.695, usercpu_time_millis: 16810, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 16670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 936.9595, usercpu_time_millis: 30340, usercpu_time_millis_testing: 2310, usercpu_time_millis_training: 28030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8866, kappa: 0.767, kb_relative_information_score: 275650.1729, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8872, predictive_accuracy: 0.8871, prior_entropy: 0.9835, recall: 0.8871, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.5906, scimark_benchmark: 938.4601, usercpu_time_millis: 863440, usercpu_time_millis_testing: 29440, usercpu_time_millis_training: 834000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.886, kappa: 0.7658, kb_relative_information_score: 275949.4831, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8866, predictive_accuracy: 0.8865, prior_entropy: 0.9835, recall: 0.8865, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5915, scimark_benchmark: 903.179, usercpu_time_millis: 426180, usercpu_time_millis_testing: 12530, usercpu_time_millis_training: 413650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8837, kappa: 0.7611, kb_relative_information_score: 275114.3927, mean_absolute_error: 0.2086, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8843, predictive_accuracy: 0.8842, prior_entropy: 0.9835, recall: 0.8842, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.5971, scimark_benchmark: 930.0025, usercpu_time_millis: 215690, usercpu_time_millis_testing: 6080, usercpu_time_millis_training: 209610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8787, kappa: 0.7509, kb_relative_information_score: 273411.7831, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8792, predictive_accuracy: 0.8792, prior_entropy: 0.9835, recall: 0.8792, relative_absolute_error: 0.4289, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6073, scimark_benchmark: 930.0565, usercpu_time_millis: 108350, usercpu_time_millis_testing: 2900, usercpu_time_millis_training: 105450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 149304.0147, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8433, scimark_benchmark: 926.5859, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 149304.0147, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8433, scimark_benchmark: 926.5859, usercpu_time_millis: 520, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 149304.0147, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8433, scimark_benchmark: 894.7131, usercpu_time_millis: 510, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 149304.0147, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8433, scimark_benchmark: 926.5859, usercpu_time_millis: 440, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7492, kappa: 0.4863, kb_relative_information_score: 149304.0147, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7721, predictive_accuracy: 0.7598, prior_entropy: 0.9835, recall: 0.7598, relative_absolute_error: 0.7022, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8433, scimark_benchmark: 894.7131, usercpu_time_millis: 410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 380,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1375.1578, usercpu_time_millis: 270, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1324.7884, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1342.6744, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1340.5125, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7455, kappa: 0.4791, kb_relative_information_score: 185999.5755, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9835, recall: 0.7456, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1335.6555, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1306.9281, usercpu_time_millis: 330, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1324.6442, usercpu_time_millis: 270, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 1349.1517, usercpu_time_millis: 434890, usercpu_time_millis_testing: 187300, usercpu_time_millis_training: 247590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1324.7884, usercpu_time_millis: 340, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1324.7884, usercpu_time_millis: 390, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1337.9552, usercpu_time_millis: 280, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, f_measure: 0.7478, kappa: 0.4824, kb_relative_information_score: 132709.1549, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7647, predictive_accuracy: 0.7568, prior_entropy: 0.9835, recall: 0.7568, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8588, scimark_benchmark: 1308.685, usercpu_time_millis: 6248170, usercpu_time_millis_testing: 6248170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1313.11, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1309.2287, usercpu_time_millis: 270, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1321.8321, usercpu_time_millis: 250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 316934.1926, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 1317.5857, usercpu_time_millis: 4940, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1313.5633, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8484, kappa: 0.6888, kb_relative_information_score: 273508.6583, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8485, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 1350.7721, usercpu_time_millis: 14360, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 14130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.9092, kappa: 0.8142, kb_relative_information_score: 352562.3697, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9092, predictive_accuracy: 0.9092, prior_entropy: 0.9835, recall: 0.9092, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.5734, scimark_benchmark: 1318.3027, usercpu_time_millis: 8020, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 7990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.9097, kappa: 0.8152, kb_relative_information_score: 361678.5824, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9097, predictive_accuracy: 0.9097, prior_entropy: 0.9835, recall: 0.9097, relative_absolute_error: 0.2038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.5669, scimark_benchmark: 1342.6744, usercpu_time_millis: 114880, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 114800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 1321.8132, usercpu_time_millis: 11920, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 1267.3105, usercpu_time_millis: 402600, usercpu_time_millis_testing: 164890, usercpu_time_millis_training: 237710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 1318.4315, usercpu_time_millis: 34240, usercpu_time_millis_testing: 2610, usercpu_time_millis_training: 31630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1333.9912, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 316934.1926, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 1325.3966, usercpu_time_millis: 6000, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 5870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1318.3027, usercpu_time_millis: 420, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.821, kappa: 0.6327, kb_relative_information_score: 236871.8496, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.821, predictive_accuracy: 0.8216, prior_entropy: 0.9835, recall: 0.8216, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7133, scimark_benchmark: 1360.0477, usercpu_time_millis: 570, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 1260.1387, usercpu_time_millis: 24500, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 21180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 938.0414, usercpu_time_millis: 430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 1322.7257, usercpu_time_millis: 23620, usercpu_time_millis_testing: 3340, usercpu_time_millis_training: 20280,

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