OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 1869 Supervised Classification electricity 228 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8111, kappa: 0.6122, kb_relative_information_score: 110763.1192, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7578, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7753, kappa: 0.5375, kb_relative_information_score: 63558.6572, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7803, predictive_accuracy: 0.7791, prior_entropy: 0.9835, recall: 0.7791, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8195, scimark_benchmark: 972.587, usercpu_time_millis: 3330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7945, kappa: 0.5783, kb_relative_information_score: 91338.8144, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7944, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7759, scimark_benchmark: 851.2074, usercpu_time_millis: 33600, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 33550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 941.6675, usercpu_time_millis: 472600, usercpu_time_millis_testing: 204460, usercpu_time_millis_training: 268140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8807, kappa: 0.7555, kb_relative_information_score: 145175.6744, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8807, predictive_accuracy: 0.8809, prior_entropy: 0.9835, recall: 0.8809, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978, scimark_benchmark: 941.6675, usercpu_time_millis: 5150, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 5040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9027, kappa: 0.8006, kb_relative_information_score: 154998.0415, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5448, scimark_benchmark: 931.771, usercpu_time_millis: 25050, usercpu_time_millis_testing: 2460, usercpu_time_millis_training: 22590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 937.5117, usercpu_time_millis: 378520, usercpu_time_millis_testing: 164990, usercpu_time_millis_training: 213530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 941.3847, usercpu_time_millis: 510, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 941.3847, usercpu_time_millis: 510, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 974.2014, usercpu_time_millis: 690, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.818, kappa: 0.6261, kb_relative_information_score: 120899.1232, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 943.1009, usercpu_time_millis: 15800, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 15660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9027, kappa: 0.8006, kb_relative_information_score: 154998.0415, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5448, scimark_benchmark: 943.1009, usercpu_time_millis: 25910, usercpu_time_millis_testing: 2010, usercpu_time_millis_training: 23900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8111, kappa: 0.6122, kb_relative_information_score: 110763.1192, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7578, scimark_benchmark: 819.5729, usercpu_time_millis: 960, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.7753, kappa: 0.5375, kb_relative_information_score: 63558.6572, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7803, predictive_accuracy: 0.7791, prior_entropy: 0.9835, recall: 0.7791, relative_absolute_error: 0.7555, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8195, scimark_benchmark: 935.2002, usercpu_time_millis: 3330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 3280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7945, kappa: 0.5783, kb_relative_information_score: 91338.8144, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7944, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7759, scimark_benchmark: 608.4057, usercpu_time_millis: 28190, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 28140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 930.404, usercpu_time_millis: 401080, usercpu_time_millis_testing: 155220, usercpu_time_millis_training: 245860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7422, kappa: 0.4725, kb_relative_information_score: 91298.4936, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8736, scimark_benchmark: 930.404, usercpu_time_millis: 490, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 938.1282, usercpu_time_millis: 520, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 930.404, usercpu_time_millis: 460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8807, kappa: 0.7555, kb_relative_information_score: 145175.6744, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8807, predictive_accuracy: 0.8809, prior_entropy: 0.9835, recall: 0.8809, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978, scimark_benchmark: 933.3455, usercpu_time_millis: 4940, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 932.438, usercpu_time_millis: 450, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.818, kappa: 0.6261, kb_relative_information_score: 120899.1232, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 917.5013, usercpu_time_millis: 16460, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 16320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9027, kappa: 0.8006, kb_relative_information_score: 154998.0415, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5448, scimark_benchmark: 901.4991, usercpu_time_millis: 26820, usercpu_time_millis_testing: 2390, usercpu_time_millis_training: 24430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8626, kappa: 0.7177, kb_relative_information_score: 125321.4599, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8639, predictive_accuracy: 0.8635, prior_entropy: 0.9835, recall: 0.8635, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6417, scimark_benchmark: 933.4823, usercpu_time_millis: 1848260, usercpu_time_millis_testing: 91620, usercpu_time_millis_training: 1756640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.8632, kappa: 0.719, kb_relative_information_score: 125503.8081, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8644, predictive_accuracy: 0.8641, prior_entropy: 0.9835, recall: 0.8641, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6416, scimark_benchmark: 931.7096, usercpu_time_millis: 831780, usercpu_time_millis_testing: 28450, usercpu_time_millis_training: 803330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.863, kappa: 0.7184, kb_relative_information_score: 125858.1774, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8642, predictive_accuracy: 0.8639, prior_entropy: 0.9835, recall: 0.8639, relative_absolute_error: 0.4797, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.6415, scimark_benchmark: 935.0213, usercpu_time_millis: 489950, usercpu_time_millis_testing: 11350, usercpu_time_millis_training: 478600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9353, f_measure: 0.8605, kappa: 0.7134, kb_relative_information_score: 125046.1176, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8615, predictive_accuracy: 0.8614, prior_entropy: 0.9835, recall: 0.8614, relative_absolute_error: 0.4827, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6476, scimark_benchmark: 911.2316, usercpu_time_millis: 210020, usercpu_time_millis_testing: 5990, usercpu_time_millis_training: 204030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.8561, kappa: 0.7044, kb_relative_information_score: 124703.9588, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.857, predictive_accuracy: 0.8569, prior_entropy: 0.9835, recall: 0.8569, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6558, scimark_benchmark: 926.5859, usercpu_time_millis: 126920, usercpu_time_millis_testing: 3000, usercpu_time_millis_training: 123920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7478, kappa: 0.4835, kb_relative_information_score: 74499.3453, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7702, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8439, scimark_benchmark: 926.5859, usercpu_time_millis: 440, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7478, kappa: 0.4835, kb_relative_information_score: 74499.3453, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7702, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8439, scimark_benchmark: 929.0296, usercpu_time_millis: 560, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7478, kappa: 0.4835, kb_relative_information_score: 74499.3453, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7702, predictive_accuracy: 0.7584, prior_entropy: 0.9835, recall: 0.7584, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8439, scimark_benchmark: 894.7131, usercpu_time_millis: 460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1286.2211, usercpu_time_millis: 440, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8807, kappa: 0.7555, kb_relative_information_score: 145175.6744, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8807, predictive_accuracy: 0.8809, prior_entropy: 0.9835, recall: 0.8809, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978, scimark_benchmark: 1338.5214, usercpu_time_millis: 4750, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9027, kappa: 0.8006, kb_relative_information_score: 154998.0415, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5448, scimark_benchmark: 1296.8947, usercpu_time_millis: 23540, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 21550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8111, kappa: 0.6122, kb_relative_information_score: 110763.1192, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7578, scimark_benchmark: 1332.9478, usercpu_time_millis: 480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 1324.7884, usercpu_time_millis: 397240, usercpu_time_millis_testing: 170060, usercpu_time_millis_training: 227180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7422, kappa: 0.4725, kb_relative_information_score: 91298.4936, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8736, scimark_benchmark: 930.5999, usercpu_time_millis: 610, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1325.8468, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1338.5214, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8807, kappa: 0.7555, kb_relative_information_score: 145175.6744, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8807, predictive_accuracy: 0.8809, prior_entropy: 0.9835, recall: 0.8809, relative_absolute_error: 0.3844, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.5978, scimark_benchmark: 1337.8124, usercpu_time_millis: 5920, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 5770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8111, kappa: 0.6122, kb_relative_information_score: 110763.1192, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8113, predictive_accuracy: 0.812, prior_entropy: 0.9835, recall: 0.812, relative_absolute_error: 0.5379, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7578, scimark_benchmark: 1296.8947, usercpu_time_millis: 450, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 1322.5413, usercpu_time_millis: 664030, usercpu_time_millis_testing: 202310, usercpu_time_millis_training: 461720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7422, kappa: 0.4725, kb_relative_information_score: 91298.4936, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8736, scimark_benchmark: 1335.6555, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1366.7181, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1324.6442, usercpu_time_millis: 480, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.818, kappa: 0.6261, kb_relative_information_score: 120899.1232, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 1375.1578, usercpu_time_millis: 15270, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 15040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9027, kappa: 0.8006, kb_relative_information_score: 154998.0415, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.9027, predictive_accuracy: 0.9029, prior_entropy: 0.9835, recall: 0.9029, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2693, root_relative_squared_error: 0.5448, scimark_benchmark: 1374.9737, usercpu_time_millis: 23280, usercpu_time_millis_testing: 1920, usercpu_time_millis_training: 21360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 1322.3407, usercpu_time_millis: 503380, usercpu_time_millis_testing: 176560, usercpu_time_millis_training: 326820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7422, kappa: 0.4725, kb_relative_information_score: 91298.4936, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8736, scimark_benchmark: 1313.11, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1319.4538, usercpu_time_millis: 320, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1306.9281, usercpu_time_millis: 590, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 1332.9478, usercpu_time_millis: 491080, usercpu_time_millis_testing: 186400, usercpu_time_millis_training: 304680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.7422, kappa: 0.4725, kb_relative_information_score: 91298.4936, mean_absolute_error: 0.2956, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7422, predictive_accuracy: 0.7422, prior_entropy: 0.9835, recall: 0.7422, relative_absolute_error: 0.605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.8736, scimark_benchmark: 1313.5633, usercpu_time_millis: 460, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1350.7721, usercpu_time_millis: 230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1342.2845, usercpu_time_millis: 660, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7913, kappa: 0.5712, kb_relative_information_score: 104548.0846, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7917, predictive_accuracy: 0.7926, prior_entropy: 0.9835, recall: 0.7926, relative_absolute_error: 0.5588, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3788, root_relative_squared_error: 0.7665, scimark_benchmark: 1317.5348, usercpu_time_millis: 240, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.818, kappa: 0.6261, kb_relative_information_score: 120899.1232, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8184, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7481, scimark_benchmark: 1354.5533, usercpu_time_millis: 16960, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 16720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8068, f_measure: 0.747, kappa: 0.481, kb_relative_information_score: 66288.1772, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7654, predictive_accuracy: 0.7565, prior_entropy: 0.9835, recall: 0.7565, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4244, root_relative_squared_error: 0.8587, scimark_benchmark: 1364.991, usercpu_time_millis: 4532930, usercpu_time_millis_testing: 4532920, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7945, kappa: 0.5783, kb_relative_information_score: 91338.8144, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7944, predictive_accuracy: 0.7952, prior_entropy: 0.9835, recall: 0.7952, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.7759, scimark_benchmark: 1321.8132, usercpu_time_millis: 13070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 13040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8797, kappa: 0.7539, kb_relative_information_score: 162391.6807, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.8798, predictive_accuracy: 0.8797, prior_entropy: 0.9835, recall: 0.8797, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6386, scimark_benchmark: 1332.9478, usercpu_time_millis: 118440, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 118370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.7281, kappa: 0.4416, kb_relative_information_score: 103489.9979, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4886, number_of_instances: 226560, precision: 0.7421, predictive_accuracy: 0.7372, prior_entropy: 0.9835, recall: 0.7372, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5126, root_relative_squared_error: 1.0371, scimark_benchmark: 1306.7793, usercpu_time_millis: 817250, usercpu_time_millis_testing: 347890, usercpu_time_millis_training: 469360,

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