Task
Supervised Classification on anneal

Supervised Classification on anneal

Task 1882 Supervised Classification anneal 192 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.8734, kappa: 0.6868, kb_relative_information_score: 0.6751, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1343, weighted_recall: 0.8773, number_of_instances: 8980, precision: 0.8743, predictive_accuracy: 0.8773, prior_entropy: 1.1915, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.6671, scimark_benchmark: 1015.7068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9718, kappa: 0.9319, kb_relative_information_score: 7476.0861, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9715, predictive_accuracy: 0.9727, prior_entropy: 1.2149, recall: 0.9727, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3831, scimark_benchmark: 851.2074, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 941.3142, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9329, kappa: 0.8312, kb_relative_information_score: 6739.7172, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9334, predictive_accuracy: 0.9342, prior_entropy: 1.2149, recall: 0.9342, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.5028, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 931.771, usercpu_time_millis: 1020, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 974.2014, usercpu_time_millis: 750, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, 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: 0.9903, f_measure: 0.973, kappa: 0.9327, kb_relative_information_score: 7587.8333, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 1.2149, recall: 0.9736, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3812, scimark_benchmark: 943.1009, usercpu_time_millis: 1690, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 943.1009, usercpu_time_millis: 920, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9718, kappa: 0.9319, kb_relative_information_score: 7476.0861, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9715, predictive_accuracy: 0.9727, prior_entropy: 1.2149, recall: 0.9727, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3831, scimark_benchmark: 936.2574, usercpu_time_millis: 540, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 932.438, usercpu_time_millis: 380, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 930.404, usercpu_time_millis: 370, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9329, kappa: 0.8312, kb_relative_information_score: 6739.7172, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9334, predictive_accuracy: 0.9342, prior_entropy: 1.2149, recall: 0.9342, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.5028, scimark_benchmark: 941.4991, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.973, kappa: 0.9327, kb_relative_information_score: 7587.8333, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 1.2149, recall: 0.9736, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3812, scimark_benchmark: 1051.249, usercpu_time_millis: 2540, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 936.9595, usercpu_time_millis: 1130, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9656, kappa: 0.9143, kb_relative_information_score: 7557.3422, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9663, predictive_accuracy: 0.9665, prior_entropy: 1.2149, recall: 0.9665, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.3506, scimark_benchmark: 851.2074, usercpu_time_millis: 11600, usercpu_time_millis_testing: 5540, usercpu_time_millis_training: 6060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9639, kappa: 0.9098, kb_relative_information_score: 7549.7029, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9644, predictive_accuracy: 0.9647, prior_entropy: 1.2149, recall: 0.9647, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3533, scimark_benchmark: 934.7923, usercpu_time_millis: 4150, usercpu_time_millis_testing: 1180, usercpu_time_millis_training: 2970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.969, kappa: 0.9226, kb_relative_information_score: 7582.303, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9695, predictive_accuracy: 0.9697, prior_entropy: 1.2149, recall: 0.9697, relative_absolute_error: 0.2023, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.3464, scimark_benchmark: 917.2109, usercpu_time_millis: 2070, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9649, kappa: 0.9128, kb_relative_information_score: 7522.2096, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9656, predictive_accuracy: 0.9658, prior_entropy: 1.2149, recall: 0.9658, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3625, scimark_benchmark: 899.0468, usercpu_time_millis: 930, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9645, kappa: 0.9115, kb_relative_information_score: 7513.3447, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9651, predictive_accuracy: 0.9653, prior_entropy: 1.2149, recall: 0.9653, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.3739, scimark_benchmark: 889.4922, usercpu_time_millis: 490, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4902, f_measure: 0.6587, kb_relative_information_score: -12.9002, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2582, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 940.0055, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7624, kappa: 0.4348, kb_relative_information_score: 2185.8739, mean_absolute_error: 0.1204, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7016, predictive_accuracy: 0.8363, prior_entropy: 1.2149, recall: 0.8363, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.827, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.7312, kappa: 0.279, kb_relative_information_score: 3885.0315, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7022, predictive_accuracy: 0.7919, prior_entropy: 1.2149, recall: 0.7919, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2259, root_relative_squared_error: 0.8749, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6587, kb_relative_information_score: 2030.2759, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.5802, predictive_accuracy: 0.7617, prior_entropy: 1.2149, recall: 0.7617, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2818, root_relative_squared_error: 1.0915, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9379, kappa: 0.8508, kb_relative_information_score: 6998.1725, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9379, predictive_accuracy: 0.9408, prior_entropy: 1.2149, recall: 0.9408, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.4761, scimark_benchmark: 926.5859, usercpu_time_millis: 270, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8968, f_measure: 0.7636, kappa: 0.4354, kb_relative_information_score: 3456.6215, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.7387, predictive_accuracy: 0.8356, prior_entropy: 1.2149, recall: 0.8356, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.787, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 926.4745, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1333.6736, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, 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: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1329.8008, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1316.5668, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1354.5533, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1313.5633, usercpu_time_millis: 700, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9272, kappa: 0.8223, kb_relative_information_score: 6956.1446, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9331, predictive_accuracy: 0.9251, prior_entropy: 1.2149, recall: 0.9251, relative_absolute_error: 0.256, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.5295, scimark_benchmark: 1332.9478, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1342.2845, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1309.2287, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9329, kappa: 0.8312, kb_relative_information_score: 6739.7172, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9334, predictive_accuracy: 0.9342, prior_entropy: 1.2149, recall: 0.9342, relative_absolute_error: 0.3115, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.5028, scimark_benchmark: 1313.5633, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1317.6232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.973, kappa: 0.9327, kb_relative_information_score: 7587.8333, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 1.2149, recall: 0.9736, relative_absolute_error: 0.1801, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3812, scimark_benchmark: 1317.6232, usercpu_time_millis: 2030, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1310.6554, usercpu_time_millis: 820, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9718, kappa: 0.9319, kb_relative_information_score: 7476.0861, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9715, predictive_accuracy: 0.9727, prior_entropy: 1.2149, recall: 0.9727, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.3831, scimark_benchmark: 1253.0071, usercpu_time_millis: 410, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1286.0816, usercpu_time_millis: 700, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1345.7919, usercpu_time_millis: 730, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1345.7919, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1342.6744, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1335.2363, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1342.6744, usercpu_time_millis: 870, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1344.7524, usercpu_time_millis: 870, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9078, kappa: 0.7725, kb_relative_information_score: 6302.2729, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9106, predictive_accuracy: 0.9097, prior_entropy: 1.2149, recall: 0.9097, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.151, root_relative_squared_error: 0.5847, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1327.6367, usercpu_time_millis: 730, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1360.6367, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9672, kappa: 0.9185, kb_relative_information_score: 7842.172, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 1.2149, recall: 0.9678, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.3514, scimark_benchmark: 1362.9924, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9512, kappa: 0.8773, kb_relative_information_score: 7030.0139, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.9512, predictive_accuracy: 0.9513, prior_entropy: 1.2149, recall: 0.9513, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4424, scimark_benchmark: 1260.1387, usercpu_time_millis: 1090, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.8133, kappa: 0.4866, kb_relative_information_score: 4544.23, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1343, number_of_instances: 8980, precision: 0.8482, predictive_accuracy: 0.8429, prior_entropy: 1.2149, recall: 0.8429, relative_absolute_error: 0.39, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.8863, scimark_benchmark: 1327.3335, usercpu_time_millis: 720, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 480,

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