Task
Supervised Classification on fri_c3_500_50

Supervised Classification on fri_c3_500_50

Task 4505 Supervised Classification fri_c3_500_50 225 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 2930.4419, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9882, recall: 0.8444, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7235, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 972.587, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 904.0772, usercpu_time_millis: 350, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 938.191, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8525, kappa: 0.699, kb_relative_information_score: 2598.9934, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8534, prior_entropy: 0.9882, recall: 0.8534, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6727, scimark_benchmark: 941.6675, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.639, kappa: 0.2639, kb_relative_information_score: 951.0187, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6384, predictive_accuracy: 0.6406, prior_entropy: 0.9882, recall: 0.6406, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9907, scimark_benchmark: 941.6675, usercpu_time_millis: 2500, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 2370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 944.1783, usercpu_time_millis: 430, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8337, kappa: 0.6604, kb_relative_information_score: 1469.0903, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8373, predictive_accuracy: 0.8354, prior_entropy: 0.9882, recall: 0.8354, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7959, scimark_benchmark: 937.5117, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 2930.4419, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9882, recall: 0.8444, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7235, scimark_benchmark: 942.2392, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 908.9569, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 936.2574, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 904.5548, usercpu_time_millis: 350, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8525, kappa: 0.699, kb_relative_information_score: 2598.9934, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8534, prior_entropy: 0.9882, recall: 0.8534, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6727, scimark_benchmark: 941.4991, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.639, kappa: 0.2639, kb_relative_information_score: 951.0187, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6384, predictive_accuracy: 0.6406, prior_entropy: 0.9882, recall: 0.6406, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9907, scimark_benchmark: 938.4601, usercpu_time_millis: 1260, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 936.9595, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8337, kappa: 0.6604, kb_relative_information_score: 1469.0903, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8373, predictive_accuracy: 0.8354, prior_entropy: 0.9882, recall: 0.8354, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7959, scimark_benchmark: 938.988, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7765, kappa: 0.5441, kb_relative_information_score: 1239.8077, mean_absolute_error: 0.3888, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7771, predictive_accuracy: 0.7778, prior_entropy: 0.9882, recall: 0.7778, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8359, scimark_benchmark: 819.5729, usercpu_time_millis: 18640, usercpu_time_millis_testing: 7430, usercpu_time_millis_training: 11210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.7735, kappa: 0.5379, kb_relative_information_score: 1220.0209, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7741, predictive_accuracy: 0.7748, prior_entropy: 0.9882, recall: 0.7748, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8406, scimark_benchmark: 932.438, usercpu_time_millis: 7580, usercpu_time_millis_testing: 3140, usercpu_time_millis_training: 4440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.7711, kappa: 0.5329, kb_relative_information_score: 1246.6062, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7717, predictive_accuracy: 0.7724, prior_entropy: 0.9882, recall: 0.7724, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.84, scimark_benchmark: 919.2625, usercpu_time_millis: 3300, usercpu_time_millis_testing: 1110, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7506, kappa: 0.4911, kb_relative_information_score: 1230.8286, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7512, predictive_accuracy: 0.7522, prior_entropy: 0.9882, recall: 0.7522, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.421, root_relative_squared_error: 0.849, scimark_benchmark: 891.6381, usercpu_time_millis: 1400, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7184, kappa: 0.426, kb_relative_information_score: 1195.3537, mean_absolute_error: 0.3874, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7182, predictive_accuracy: 0.7194, prior_entropy: 0.9882, recall: 0.7194, relative_absolute_error: 0.7877, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4321, root_relative_squared_error: 0.8714, scimark_benchmark: 942.5233, usercpu_time_millis: 690, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8342, kappa: 0.6621, kb_relative_information_score: 2991.5093, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8345, predictive_accuracy: 0.8348, prior_entropy: 0.9882, recall: 0.8348, relative_absolute_error: 0.4155, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7071, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.8346, kappa: 0.6629, kb_relative_information_score: 2989.0809, mean_absolute_error: 0.2046, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8349, predictive_accuracy: 0.8352, prior_entropy: 0.9882, recall: 0.8352, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7077, scimark_benchmark: 941.9549, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.832, kappa: 0.6576, kb_relative_information_score: 2956.5675, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8323, predictive_accuracy: 0.8326, prior_entropy: 0.9882, recall: 0.8326, relative_absolute_error: 0.423, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3507, root_relative_squared_error: 0.7073, scimark_benchmark: 894.7131, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8342, kappa: 0.662, kb_relative_information_score: 2893.3844, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8346, predictive_accuracy: 0.8348, prior_entropy: 0.9882, recall: 0.8348, relative_absolute_error: 0.4399, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6937, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8137, kappa: 0.6201, kb_relative_information_score: 2457.4857, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8143, predictive_accuracy: 0.8146, prior_entropy: 0.9882, recall: 0.8146, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.7322, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 930.0829, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 929.0363, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1331.2559, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1303.5632, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 1296.8947, usercpu_time_millis: 320, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 908.2231, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1347.6543, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1331.7953, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 1339.6197, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1325.8468, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 930.5999, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 2930.4419, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9882, recall: 0.8444, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7235, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1349.1517, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1306.9281, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 2930.4419, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9882, recall: 0.8444, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7235, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 1319.4538, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 1317.071, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 1342.8584, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1319.4538, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8525, kappa: 0.699, kb_relative_information_score: 2598.9934, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8534, prior_entropy: 0.9882, recall: 0.8534, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6727, scimark_benchmark: 1342.8584, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.639, kappa: 0.2639, kb_relative_information_score: 951.0187, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6384, predictive_accuracy: 0.6406, prior_entropy: 0.9882, recall: 0.6406, relative_absolute_error: 0.82, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9907, scimark_benchmark: 1322.0065, usercpu_time_millis: 1530, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1331.4379, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1310.6554, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 1347.3402, usercpu_time_millis: 600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.8444, kappa: 0.6835, kb_relative_information_score: 2930.4419, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8444, predictive_accuracy: 0.8444, prior_entropy: 0.9882, recall: 0.8444, relative_absolute_error: 0.4386, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7235, scimark_benchmark: 1342.2845,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs