OpenML
Supervised Classification on labor

Supervised Classification on labor

Task 1884 Supervised Classification labor 220 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.799, kappa: 0.554, kb_relative_information_score: 222.5708, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.7986, predictive_accuracy: 0.8018, prior_entropy: 0.9393, recall: 0.8018, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8723, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8484, kappa: 0.6657, kb_relative_information_score: 305.7526, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.848, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6992, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8889, kappa: 0.7548, kb_relative_information_score: 388.798, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8887, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6229, scimark_benchmark: 851.2074, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.949, kappa: 0.8877, kb_relative_information_score: 501.7634, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.9393, recall: 0.9491, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4726, scimark_benchmark: 941.3142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8464, kappa: 0.6586, kb_relative_information_score: 250.4868, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8477, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7249, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9506, kappa: 0.8909, kb_relative_information_score: 437.0415, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9393, recall: 0.9509, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4427, scimark_benchmark: 943.8235, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8878, kappa: 0.7508, kb_relative_information_score: 318.1267, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6218, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.949, kappa: 0.8877, kb_relative_information_score: 501.7634, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.9393, recall: 0.9491, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4726, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9002, kappa: 0.7812, kb_relative_information_score: 433.9178, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9393, recall: 0.9, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5306, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9214, kappa: 0.8285, kb_relative_information_score: 422.0535, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9223, predictive_accuracy: 0.9211, prior_entropy: 0.9393, recall: 0.9211, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5339, scimark_benchmark: 943.1009, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8878, kappa: 0.7508, kb_relative_information_score: 318.1267, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6218, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.799, kappa: 0.554, kb_relative_information_score: 222.5708, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.7986, predictive_accuracy: 0.8018, prior_entropy: 0.9393, recall: 0.8018, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8723, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.8484, kappa: 0.6657, kb_relative_information_score: 305.7526, mean_absolute_error: 0.2196, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.848, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.3337, root_relative_squared_error: 0.6992, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.8889, kappa: 0.7548, kb_relative_information_score: 388.798, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8887, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.3258, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6229, scimark_benchmark: 608.4057, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.949, kappa: 0.8877, kb_relative_information_score: 501.7634, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.9393, recall: 0.9491, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4726, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.949, kappa: 0.8877, kb_relative_information_score: 501.7634, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.9393, recall: 0.9491, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4726, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8464, kappa: 0.6586, kb_relative_information_score: 250.4868, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8477, predictive_accuracy: 0.8491, prior_entropy: 0.9393, recall: 0.8491, relative_absolute_error: 0.596, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.346, root_relative_squared_error: 0.7249, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9506, kappa: 0.8909, kb_relative_information_score: 437.0415, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9393, recall: 0.9509, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4427, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9214, kappa: 0.8285, kb_relative_information_score: 422.0535, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9223, predictive_accuracy: 0.9211, prior_entropy: 0.9393, recall: 0.9211, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5339, scimark_benchmark: 917.5013, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8878, kappa: 0.7508, kb_relative_information_score: 318.1267, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6218, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9351, kappa: 0.8573, kb_relative_information_score: 375.1872, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.935, predictive_accuracy: 0.9351, prior_entropy: 0.9393, recall: 0.9351, relative_absolute_error: 0.3829, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.5121, scimark_benchmark: 1171.0303, usercpu_time_millis: 750, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9315, kappa: 0.8496, kb_relative_information_score: 375.1404, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9315, predictive_accuracy: 0.9316, prior_entropy: 0.9393, recall: 0.9316, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.5181, scimark_benchmark: 942.2392, usercpu_time_millis: 390, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9352, kappa: 0.858, kb_relative_information_score: 376.8255, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9354, predictive_accuracy: 0.9351, prior_entropy: 0.9393, recall: 0.9351, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.5129, scimark_benchmark: 917.2109, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9279, kappa: 0.8415, kb_relative_information_score: 370.221, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9279, predictive_accuracy: 0.9281, prior_entropy: 0.9393, recall: 0.9281, relative_absolute_error: 0.3851, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5315, scimark_benchmark: 930.0399, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9191, kappa: 0.822, kb_relative_information_score: 367.1133, mean_absolute_error: 0.1758, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.919, predictive_accuracy: 0.9193, prior_entropy: 0.9393, recall: 0.9193, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5502, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9366, kappa: 0.8604, kb_relative_information_score: 481.9216, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9366, predictive_accuracy: 0.9368, prior_entropy: 0.9393, recall: 0.9368, relative_absolute_error: 0.1467, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.252, root_relative_squared_error: 0.5279, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9347, kappa: 0.856, kb_relative_information_score: 479.2533, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9349, predictive_accuracy: 0.9351, prior_entropy: 0.9393, recall: 0.9351, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2541, root_relative_squared_error: 0.5323, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9294, kappa: 0.8442, kb_relative_information_score: 478.0957, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9296, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.5256, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9186, kappa: 0.8199, kb_relative_information_score: 460.9256, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9191, predictive_accuracy: 0.9193, prior_entropy: 0.9393, recall: 0.9193, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5585, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9099, kappa: 0.8011, kb_relative_information_score: 444.9316, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9101, predictive_accuracy: 0.9105, prior_entropy: 0.9393, recall: 0.9105, relative_absolute_error: 0.213, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.5585, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4716, f_measure: 0.511, kb_relative_information_score: -1.2494, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.4214, predictive_accuracy: 0.6491, prior_entropy: 0.9393, recall: 0.6491, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.929, kappa: 0.8427, kb_relative_information_score: 477.7186, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9303, predictive_accuracy: 0.9298, prior_entropy: 0.9393, recall: 0.9298, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.5445, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8878, kappa: 0.7508, kb_relative_information_score: 318.1267, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8893, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2968, root_relative_squared_error: 0.6218, scimark_benchmark: 1393.8432, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9002, kappa: 0.7812, kb_relative_information_score: 433.9178, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9393, recall: 0.9, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5306, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9002, kappa: 0.7812, kb_relative_information_score: 433.9178, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9393, recall: 0.9, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5306, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9002, kappa: 0.7812, kb_relative_information_score: 433.9178, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9393, recall: 0.9, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5306, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9506, kappa: 0.8909, kb_relative_information_score: 437.0415, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9393, recall: 0.9509, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4427, scimark_benchmark: 1331.4379, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.949, kappa: 0.8877, kb_relative_information_score: 501.7634, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.949, predictive_accuracy: 0.9491, prior_entropy: 0.9393, recall: 0.9491, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2256, root_relative_squared_error: 0.4726, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9002, kappa: 0.7812, kb_relative_information_score: 433.9178, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9004, predictive_accuracy: 0.9, prior_entropy: 0.9393, recall: 0.9, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.5306, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1333.0982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1337.3324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9506, kappa: 0.8909, kb_relative_information_score: 437.0415, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.9393, recall: 0.9509, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4427, scimark_benchmark: 1326.2019, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8906, kappa: 0.7631, kb_relative_information_score: 402.3506, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.457, number_of_instances: 570, precision: 0.8943, predictive_accuracy: 0.8895, prior_entropy: 0.9393, recall: 0.8895, relative_absolute_error: 0.2959, root_mean_prior_squared_error: 0.4773, root_mean_squared_error: 0.2925, root_relative_squared_error: 0.6128, scimark_benchmark: 1317.6232,

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