OpenML
Supervised Classification on auto93

Supervised Classification on auto93

Task 4430 Supervised Classification auto93 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7932, kappa: 0.5611, kb_relative_information_score: 442.2687, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7942, predictive_accuracy: 0.7925, prior_entropy: 0.9573, recall: 0.7925, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8545, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8337, kappa: 0.6468, kb_relative_information_score: 471.7922, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8343, predictive_accuracy: 0.8333, prior_entropy: 0.9573, recall: 0.8333, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7468, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.801, kappa: 0.576, kb_relative_information_score: 493.2133, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.82, scimark_benchmark: 934.3687, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 208.7149, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 208.7149, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.7052, kappa: 0.3623, kb_relative_information_score: 181.2154, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7178, predictive_accuracy: 0.7215, prior_entropy: 0.9573, recall: 0.7215, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9764, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8275, kappa: 0.6301, kb_relative_information_score: 483.9512, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8275, predictive_accuracy: 0.829, prior_entropy: 0.9573, recall: 0.829, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7242, scimark_benchmark: 926.576, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8673, kappa: 0.7191, kb_relative_information_score: 606.6567, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8689, predictive_accuracy: 0.8667, prior_entropy: 0.9573, recall: 0.8667, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7135, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 208.7149, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 208.7149, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 974.2014, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7984, kappa: 0.5648, kb_relative_information_score: 391.1735, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8022, predictive_accuracy: 0.8032, prior_entropy: 0.9573, recall: 0.8032, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7309, scimark_benchmark: 943.1009, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.79, f_measure: 0.7932, kappa: 0.5611, kb_relative_information_score: 442.2687, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7942, predictive_accuracy: 0.7925, prior_entropy: 0.9573, recall: 0.7925, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.414, root_relative_squared_error: 0.8545, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8337, kappa: 0.6468, kb_relative_information_score: 471.7922, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8343, predictive_accuracy: 0.8333, prior_entropy: 0.9573, recall: 0.8333, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.7468, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.801, kappa: 0.576, kb_relative_information_score: 493.2133, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.801, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4691, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3973, root_relative_squared_error: 0.82, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5286, f_measure: 0.5262, kappa: 0.0703, kb_relative_information_score: 208.7149, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7738, predictive_accuracy: 0.6452, prior_entropy: 0.9573, recall: 0.6452, relative_absolute_error: 0.7549, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.5957, root_relative_squared_error: 1.2295, scimark_benchmark: 926.5462, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7835, kappa: 0.55, kb_relative_information_score: 463.4371, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7947, predictive_accuracy: 0.7806, prior_entropy: 0.9573, recall: 0.7806, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9496, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.7052, kappa: 0.3623, kb_relative_information_score: 181.2154, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7178, predictive_accuracy: 0.7215, prior_entropy: 0.9573, recall: 0.7215, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9764, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8275, kappa: 0.6301, kb_relative_information_score: 483.9512, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8275, predictive_accuracy: 0.829, prior_entropy: 0.9573, recall: 0.829, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7242, scimark_benchmark: 919.3788, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8673, kappa: 0.7191, kb_relative_information_score: 606.6567, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8689, predictive_accuracy: 0.8667, prior_entropy: 0.9573, recall: 0.8667, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7135, scimark_benchmark: 730.6551, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7984, kappa: 0.5648, kb_relative_information_score: 391.1735, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8022, predictive_accuracy: 0.8032, prior_entropy: 0.9573, recall: 0.8032, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7309, scimark_benchmark: 917.5013, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8421, kappa: 0.6621, kb_relative_information_score: 478.5099, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8419, predictive_accuracy: 0.843, prior_entropy: 0.9573, recall: 0.843, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6705, scimark_benchmark: 935.5664, usercpu_time_millis: 1690, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 1060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8401, kappa: 0.6579, kb_relative_information_score: 479.4176, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8398, predictive_accuracy: 0.8409, prior_entropy: 0.9573, recall: 0.8409, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6704, scimark_benchmark: 934.695, usercpu_time_millis: 910, usercpu_time_millis_testing: 350, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.84, kappa: 0.6575, kb_relative_information_score: 481.835, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8398, predictive_accuracy: 0.8409, prior_entropy: 0.9573, recall: 0.8409, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.327, root_relative_squared_error: 0.6749, scimark_benchmark: 939.7241, usercpu_time_millis: 370, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8544, kappa: 0.6888, kb_relative_information_score: 486.7077, mean_absolute_error: 0.2368, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8541, predictive_accuracy: 0.8548, prior_entropy: 0.9573, recall: 0.8548, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6754, scimark_benchmark: 944.235, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8218, kappa: 0.621, kb_relative_information_score: 456.04, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8222, predictive_accuracy: 0.8215, prior_entropy: 0.9573, recall: 0.8215, relative_absolute_error: 0.5289, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3509, root_relative_squared_error: 0.7243, scimark_benchmark: 939.7241, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.825, kappa: 0.6255, kb_relative_information_score: 528.2764, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8246, predictive_accuracy: 0.8258, prior_entropy: 0.9573, recall: 0.8258, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7756, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.825, kappa: 0.6255, kb_relative_information_score: 528.2764, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8246, predictive_accuracy: 0.8258, prior_entropy: 0.9573, recall: 0.8258, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7756, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.825, kappa: 0.6255, kb_relative_information_score: 528.2764, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8246, predictive_accuracy: 0.8258, prior_entropy: 0.9573, recall: 0.8258, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7756, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.825, kappa: 0.6255, kb_relative_information_score: 528.2764, mean_absolute_error: 0.2037, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8246, predictive_accuracy: 0.8258, prior_entropy: 0.9573, recall: 0.8258, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7756, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4498, f_measure: 0.4791, kb_relative_information_score: -2.1392, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.3889, predictive_accuracy: 0.6237, prior_entropy: 0.9573, recall: 0.6237, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4849, root_relative_squared_error: 1.0009, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7835, kappa: 0.55, kb_relative_information_score: 463.4371, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7947, predictive_accuracy: 0.7806, prior_entropy: 0.9573, recall: 0.7806, relative_absolute_error: 0.4929, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9496, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8275, kappa: 0.6301, kb_relative_information_score: 483.9512, mean_absolute_error: 0.2322, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8275, predictive_accuracy: 0.829, prior_entropy: 0.9573, recall: 0.829, relative_absolute_error: 0.494, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7242, scimark_benchmark: 1318.6467, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8673, kappa: 0.7191, kb_relative_information_score: 606.6567, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8689, predictive_accuracy: 0.8667, prior_entropy: 0.9573, recall: 0.8667, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7135, scimark_benchmark: 1332.1612, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8, kappa: 0.5739, kb_relative_information_score: 491.9182, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8, prior_entropy: 0.9573, recall: 0.8, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.8211, scimark_benchmark: 1358.6198, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 1345.6844,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6546, f_measure: 0.7052, kappa: 0.3623, kb_relative_information_score: 181.2154, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.7178, predictive_accuracy: 0.7215, prior_entropy: 0.9573, recall: 0.7215, relative_absolute_error: 0.8245, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9764, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.8004, kappa: 0.5736, kb_relative_information_score: 515.1611, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8, predictive_accuracy: 0.8011, prior_entropy: 0.9573, recall: 0.8011, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7933, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8673, kappa: 0.7191, kb_relative_information_score: 606.6567, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8689, predictive_accuracy: 0.8667, prior_entropy: 0.9573, recall: 0.8667, relative_absolute_error: 0.3505, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3457, root_relative_squared_error: 0.7135, scimark_benchmark: 1322.1893, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9085, f_measure: 0.7984, kappa: 0.5648, kb_relative_information_score: 391.1735, mean_absolute_error: 0.2856, mean_prior_absolute_error: 0.4701, number_of_instances: 930, precision: 0.8022, predictive_accuracy: 0.8032, prior_entropy: 0.9573, recall: 0.8032, relative_absolute_error: 0.6076, root_mean_prior_squared_error: 0.4845, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7309, scimark_benchmark: 1336.5541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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