Task
Supervised Classification on tic-tac-toe

Supervised Classification on tic-tac-toe

Task 1813 Supervised Classification tic-tac-toe 366 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8145, kappa: 0.5847, kb_relative_information_score: 2560.6159, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8153, predictive_accuracy: 0.8182, prior_entropy: 0.9312, recall: 0.8182, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7991, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7547, kappa: 0.4572, kb_relative_information_score: 1509.9015, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7542, predictive_accuracy: 0.7553, prior_entropy: 0.9312, recall: 0.7553, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7946, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7595, kappa: 0.4655, kb_relative_information_score: 1548.1467, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7584, predictive_accuracy: 0.7614, prior_entropy: 0.9312, recall: 0.7614, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8101, scimark_benchmark: 851.2074, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8338, kappa: 0.6253, kb_relative_information_score: 2052.0852, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 0.9312, recall: 0.8405, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 931.771, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 941.3847, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8007, kappa: 0.5546, kb_relative_information_score: 2285.0684, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8005, predictive_accuracy: 0.804, prior_entropy: 0.9312, recall: 0.804, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8037, scimark_benchmark: 943.1009, usercpu_time_millis: 770, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8145, kappa: 0.5847, kb_relative_information_score: 2560.6159, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8153, predictive_accuracy: 0.8182, prior_entropy: 0.9312, recall: 0.8182, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7991, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7547, kappa: 0.4572, kb_relative_information_score: 1509.9015, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7542, predictive_accuracy: 0.7553, prior_entropy: 0.9312, recall: 0.7553, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7946, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7595, kappa: 0.4655, kb_relative_information_score: 1548.1467, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7584, predictive_accuracy: 0.7614, prior_entropy: 0.9312, recall: 0.7614, relative_absolute_error: 0.683, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.8101, scimark_benchmark: 608.4057, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 927.2882, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6849, kappa: 0.2881, kb_relative_information_score: 873.6141, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.686, predictive_accuracy: 0.7002, prior_entropy: 0.9312, recall: 0.7002, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9136, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8338, kappa: 0.6253, kb_relative_information_score: 2052.0852, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 0.9312, recall: 0.8405, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 933.3455, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8007, kappa: 0.5546, kb_relative_information_score: 2285.0684, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8005, predictive_accuracy: 0.804, prior_entropy: 0.9312, recall: 0.804, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8037, scimark_benchmark: 917.5013, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 936.9595, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9619, kappa: 0.9151, kb_relative_information_score: 3003.5017, mean_absolute_error: 0.1977, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9629, predictive_accuracy: 0.9622, prior_entropy: 0.9312, recall: 0.9622, relative_absolute_error: 0.4364, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.5114, scimark_benchmark: 936.2727, usercpu_time_millis: 9230, usercpu_time_millis_testing: 3190, usercpu_time_millis_training: 6040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9606, kappa: 0.9122, kb_relative_information_score: 3007.8631, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9617, predictive_accuracy: 0.961, prior_entropy: 0.9312, recall: 0.961, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5104, scimark_benchmark: 901.6243, usercpu_time_millis: 3660, usercpu_time_millis_testing: 660, usercpu_time_millis_training: 3000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9582, kappa: 0.907, kb_relative_information_score: 3009.5669, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9594, predictive_accuracy: 0.9587, prior_entropy: 0.9312, recall: 0.9587, relative_absolute_error: 0.432, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5151, scimark_benchmark: 917.2109, usercpu_time_millis: 2080, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9465, kappa: 0.8806, kb_relative_information_score: 2981.7387, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9483, predictive_accuracy: 0.9472, prior_entropy: 0.9312, recall: 0.9472, relative_absolute_error: 0.4336, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.5263, scimark_benchmark: 939.7883, usercpu_time_millis: 990, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9353, kappa: 0.8558, kb_relative_information_score: 2981.3847, mean_absolute_error: 0.1937, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9368, predictive_accuracy: 0.9361, prior_entropy: 0.9312, recall: 0.9361, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.537, scimark_benchmark: 926.5859, usercpu_time_millis: 520, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.706, kappa: 0.3359, kb_relative_information_score: 1180.7386, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7087, predictive_accuracy: 0.72, prior_entropy: 0.9312, recall: 0.72, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8763, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.706, kappa: 0.3359, kb_relative_information_score: 1180.7386, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7087, predictive_accuracy: 0.72, prior_entropy: 0.9312, recall: 0.72, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8763, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.706, kappa: 0.3359, kb_relative_information_score: 1180.7386, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7087, predictive_accuracy: 0.72, prior_entropy: 0.9312, recall: 0.72, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8763, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7858, f_measure: 0.706, kappa: 0.3359, kb_relative_information_score: 1180.7386, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7087, predictive_accuracy: 0.72, prior_entropy: 0.9312, recall: 0.72, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8763, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.7054, kappa: 0.3343, kb_relative_information_score: 1169.0792, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7084, predictive_accuracy: 0.7198, prior_entropy: 0.9312, recall: 0.7198, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8769, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5165, kb_relative_information_score: -2.0868, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.427, predictive_accuracy: 0.6534, prior_entropy: 0.9312, recall: 0.6534, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.7834, kappa: 0.5103, kb_relative_information_score: 2498.0445, mean_absolute_error: 0.2099, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7981, predictive_accuracy: 0.7958, prior_entropy: 0.9312, recall: 0.7958, relative_absolute_error: 0.4634, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.8369, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7445, kappa: 0.4221, kb_relative_information_score: 2078.179, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7572, predictive_accuracy: 0.7603, prior_entropy: 0.9312, recall: 0.7603, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4421, root_relative_squared_error: 0.9291, scimark_benchmark: 936.1714, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7186, kappa: 0.3634, kb_relative_information_score: 1827.958, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7296, predictive_accuracy: 0.737, prior_entropy: 0.9312, recall: 0.737, relative_absolute_error: 0.5971, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.97, scimark_benchmark: 940.0055, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6643, kappa: 0.2408, kb_relative_information_score: 1253.5493, mean_absolute_error: 0.3221, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.6661, predictive_accuracy: 0.6841, prior_entropy: 0.9312, recall: 0.6841, relative_absolute_error: 0.7111, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0407, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8145, kappa: 0.5847, kb_relative_information_score: 2560.6159, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8153, predictive_accuracy: 0.8182, prior_entropy: 0.9312, recall: 0.8182, relative_absolute_error: 0.4627, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.7991, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, f_measure: 0.7547, kappa: 0.4572, kb_relative_information_score: 1509.9015, mean_absolute_error: 0.3129, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7542, predictive_accuracy: 0.7553, prior_entropy: 0.9312, recall: 0.7553, relative_absolute_error: 0.6907, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.7946, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 1317.5857, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6849, kappa: 0.2881, kb_relative_information_score: 873.6141, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.686, predictive_accuracy: 0.7002, prior_entropy: 0.9312, recall: 0.7002, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9136, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8338, kappa: 0.6253, kb_relative_information_score: 2052.0852, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 0.9312, recall: 0.8405, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 1337.8124, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 1338.5214, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 1306.9281, usercpu_time_millis: 310, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.6849, kappa: 0.2881, kb_relative_information_score: 873.6141, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.686, predictive_accuracy: 0.7002, prior_entropy: 0.9312, recall: 0.7002, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.9136, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8338, kappa: 0.6253, kb_relative_information_score: 2052.0852, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 0.9312, recall: 0.8405, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9673, kappa: 0.9276, kb_relative_information_score: 3566.2108, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9312, recall: 0.9674, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4133, scimark_benchmark: 1322.3407, usercpu_time_millis: 26680, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 26480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 1310.6554, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.7815, kappa: 0.5056, kb_relative_information_score: 2566.4758, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.81, predictive_accuracy: 0.7983, prior_entropy: 0.9312, recall: 0.7983, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9437, scimark_benchmark: 1337.9552, usercpu_time_millis: 300, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9673, kappa: 0.9276, kb_relative_information_score: 3566.2108, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9312, recall: 0.9674, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4133, scimark_benchmark: 1331.4379, usercpu_time_millis: 25670, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 25480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 1324.6442, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8338, kappa: 0.6253, kb_relative_information_score: 2052.0852, mean_absolute_error: 0.2745, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8432, predictive_accuracy: 0.8405, prior_entropy: 0.9312, recall: 0.8405, relative_absolute_error: 0.6061, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.7155, scimark_benchmark: 1313.5633, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9673, kappa: 0.9276, kb_relative_information_score: 3566.2108, mean_absolute_error: 0.1367, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9674, predictive_accuracy: 0.9674, prior_entropy: 0.9312, recall: 0.9674, relative_absolute_error: 0.3017, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.4133, scimark_benchmark: 1332.9478, usercpu_time_millis: 26060, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 25850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.7318, kappa: 0.3937, kb_relative_information_score: 1251.5744, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7387, predictive_accuracy: 0.7459, prior_entropy: 0.9312, recall: 0.7459, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4054, root_relative_squared_error: 0.8519, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8007, kappa: 0.5546, kb_relative_information_score: 2285.0684, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8005, predictive_accuracy: 0.804, prior_entropy: 0.9312, recall: 0.804, relative_absolute_error: 0.524, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3825, root_relative_squared_error: 0.8037, scimark_benchmark: 1350.8432, usercpu_time_millis: 640, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9164, kappa: 0.8126, kb_relative_information_score: 2372.0965, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9206, predictive_accuracy: 0.9182, prior_entropy: 0.9312, recall: 0.9182, relative_absolute_error: 0.5654, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.6314, scimark_benchmark: 1367.3264, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,

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