OpenML
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: 0.9036, f_measure: 0.9056, kappa: 0.7903, kb_relative_information_score: 3652.9684, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9057, predictive_accuracy: 0.9063, prior_entropy: 0.9312, recall: 0.9063, relative_absolute_error: 0.2353, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.605, scimark_benchmark: 1256.2802, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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: 1321.8132, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9813, kappa: 0.9585, kb_relative_information_score: 3436.4944, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9818, predictive_accuracy: 0.9814, prior_entropy: 0.9312, recall: 0.9814, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4209, scimark_benchmark: 1339.3082, usercpu_time_millis: 1800, usercpu_time_millis_training: 1800,
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: 1286.0816, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, 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: 1371.174, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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: 940.3347, usercpu_time_millis: 750, usercpu_time_millis_training: 750,
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: 1318.3027,
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: 1347.1763, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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: 1397.3209, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
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: 1260.1387, 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: 1371.4836, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
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: 1347.993, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1322.7257,
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: 940.3347, usercpu_time_millis: 730, usercpu_time_millis_training: 730,
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: 1322.7257, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
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: 938.0414, usercpu_time_millis: 35830, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 35570,
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: 935.5075,
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: 918.0213,
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: 1288.1375,
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: 1347.917, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 1315.933, usercpu_time_millis: 340, usercpu_time_millis_testing: 170, 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: 1350.073,
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: 1350.073,
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: 1354.3488,
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: 1342.6911,
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: 1343.4596,
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: 1345.7204, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
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: 1064.8317,
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: 942.9708, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, 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: 1350.2369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.7489, kappa: 0.4369, kb_relative_information_score: 1084.0992, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8248, predictive_accuracy: 0.781, prior_entropy: 0.9312, recall: 0.781, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8368, scimark_benchmark: 1347.5461, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7341, kappa: 0.4048, kb_relative_information_score: 1042.6834, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.814, predictive_accuracy: 0.7699, prior_entropy: 0.9312, recall: 0.7699, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8437, scimark_benchmark: 1347.5461, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
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: 950.6776, 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: 950.6776, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 916.5769, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.7002, kappa: 0.34, kb_relative_information_score: 603.8408, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7011, predictive_accuracy: 0.6994, prior_entropy: 0.9312, recall: 0.6994, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9419, scimark_benchmark: 1349.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.8144, kappa: 0.584, kb_relative_information_score: 2558.8342, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8158, predictive_accuracy: 0.8186, prior_entropy: 0.9312, recall: 0.8186, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.8017, scimark_benchmark: 916.5769, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 4604.4804, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 1261.7298, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.6243, kappa: 0.1682, kb_relative_information_score: 659.5844, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.6233, predictive_accuracy: 0.6253, prior_entropy: 0.9312, recall: 0.6253, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6122, root_relative_squared_error: 1.2864, scimark_benchmark: 854.5188, usercpu_time_millis: 280, usercpu_time_millis_testing: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.6678, kappa: 0.2885, kb_relative_information_score: -626.9432, mean_absolute_error: 0.4865, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.681, predictive_accuracy: 0.6616, prior_entropy: 0.9312, recall: 0.6616, relative_absolute_error: 1.0739, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0239, scimark_benchmark: 876.0664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.8371, kappa: 0.6316, kb_relative_information_score: 3136.9331, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8781, predictive_accuracy: 0.8501, prior_entropy: 0.9312, recall: 0.8501, relative_absolute_error: 0.3309, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3872, root_relative_squared_error: 0.8136, scimark_benchmark: 899.5042, usercpu_time_millis: 80, usercpu_time_millis_testing: 80,
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: 912.7324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6471, f_measure: 0.6635, kappa: 0.2388, kb_relative_information_score: 460.2445, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.6656, predictive_accuracy: 0.6839, prior_entropy: 0.9312, recall: 0.6839, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9606, scimark_benchmark: 937.1527, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9747, kappa: 0.9442, kb_relative_information_score: 4471.4719, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9312, recall: 0.9747, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3202, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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: 1368.9272, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8588, 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: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7315, kappa: 0.3981, kb_relative_information_score: 1032.1009, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8031, predictive_accuracy: 0.7664, prior_entropy: 0.9312, recall: 0.7664, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.403, root_relative_squared_error: 0.8469, scimark_benchmark: 876.0664, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7398, kappa: 0.4148, kb_relative_information_score: 1027.9002, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7983, predictive_accuracy: 0.7704, prior_entropy: 0.9312, recall: 0.7704, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.85, scimark_benchmark: 942.6843, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9037, kappa: 0.7835, kb_relative_information_score: 2478.0781, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.911, predictive_accuracy: 0.9065, prior_entropy: 0.9312, recall: 0.9065, relative_absolute_error: 0.5376, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.6197, scimark_benchmark: 1331.6907, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7192, kappa: 0.3647, kb_relative_information_score: 1198.6887, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7323, predictive_accuracy: 0.7386, prior_entropy: 0.9312, recall: 0.7386, relative_absolute_error: 0.7604, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.9004, scimark_benchmark: 869.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.941, kappa: 0.8683, kb_relative_information_score: 3349.3971, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9436, predictive_accuracy: 0.942, prior_entropy: 0.9312, recall: 0.942, relative_absolute_error: 0.3408, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2314, root_relative_squared_error: 0.4863, scimark_benchmark: 918.6005, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8499, kappa: 0.6609, kb_relative_information_score: 2448.036, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.8649, predictive_accuracy: 0.857, prior_entropy: 0.9312, recall: 0.857, relative_absolute_error: 0.5194, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3161, root_relative_squared_error: 0.6642, scimark_benchmark: 1307.4861, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.7787, kappa: 0.4996, kb_relative_information_score: 1788.5134, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7919, predictive_accuracy: 0.791, prior_entropy: 0.9312, recall: 0.791, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.372, root_relative_squared_error: 0.7816, scimark_benchmark: 935.5075, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7443, kappa: 0.4216, kb_relative_information_score: 1465.745, mean_absolute_error: 0.3185, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7553, predictive_accuracy: 0.7593, prior_entropy: 0.9312, recall: 0.7593, relative_absolute_error: 0.7031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8358, scimark_benchmark: 1442.7264, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7163, kappa: 0.3586, kb_relative_information_score: 1248.5501, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7226, predictive_accuracy: 0.7319, prior_entropy: 0.9312, recall: 0.7319, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8708, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9672, kappa: 0.927, kb_relative_information_score: 3020.6752, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9679, predictive_accuracy: 0.9674, prior_entropy: 0.9312, recall: 0.9674, relative_absolute_error: 0.4274, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.5221, scimark_benchmark: 930.5999, usercpu_time_millis: 120, usercpu_time_millis_testing: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9708, kappa: 0.9351, kb_relative_information_score: 3051.0863, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9713, predictive_accuracy: 0.971, prior_entropy: 0.9312, recall: 0.971, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5153, scimark_benchmark: 854.5188, usercpu_time_millis: 170, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6088, f_measure: 0.6587, kappa: 0.2307, kb_relative_information_score: 1167.9354, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.6558, predictive_accuracy: 0.6714, prior_entropy: 0.9312, recall: 0.6714, relative_absolute_error: 0.7254, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2046, scimark_benchmark: 940.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9341, kappa: 0.8571, kb_relative_information_score: 4052.425, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9393, predictive_accuracy: 0.9332, prior_entropy: 0.9312, recall: 0.9332, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5431, scimark_benchmark: 916.5955, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5244, f_measure: 0.5543, kappa: 0.0627, kb_relative_information_score: 1154.134, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.7726, predictive_accuracy: 0.6701, prior_entropy: 0.9312, recall: 0.6701, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5743, root_relative_squared_error: 1.2069, scimark_benchmark: 1372.2145, usercpu_time_millis: 470, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 4604.4804, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 939.449, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9813, kappa: 0.9585, kb_relative_information_score: 3436.4944, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9818, predictive_accuracy: 0.9814, prior_entropy: 0.9312, recall: 0.9814, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4209, scimark_benchmark: 895.5332, usercpu_time_millis: 750, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9832, kappa: 0.9627, kb_relative_information_score: 4604.4804, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.453, number_of_instances: 4790, precision: 0.9837, predictive_accuracy: 0.9833, prior_entropy: 0.9312, recall: 0.9833, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1292, root_relative_squared_error: 0.2716, scimark_benchmark: 916.9356, usercpu_time_millis: 20, usercpu_time_millis_training: 20,

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