Task
Supervised Classification on visualizing_livestock

Supervised Classification on visualizing_livestock

Task 4436 Supervised Classification visualizing_livestock 223 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -0.0175, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, weighted_recall: 0.8108, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7064, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 931.1106, unweighted_recall: 0.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8367, kappa: 0.484, kb_relative_information_score: 0.3719, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3135, weighted_recall: 0.8338, number_of_instances: 1300, precision: 0.8402, predictive_accuracy: 0.8338, prior_entropy: 0.7064, relative_absolute_error: 0.5175, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.985, scimark_benchmark: 979.7764, unweighted_recall: 0.7509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8448, kappa: 0.4896, kb_relative_information_score: 327.4605, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8423, predictive_accuracy: 0.8485, prior_entropy: 0.7158, recall: 0.8485, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8881, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8651, kappa: 0.5602, kb_relative_information_score: 361.8903, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8637, predictive_accuracy: 0.8669, prior_entropy: 0.7158, recall: 0.8669, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8261, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8331, kappa: 0.4534, kb_relative_information_score: 412.4009, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8307, predictive_accuracy: 0.8362, prior_entropy: 0.7158, recall: 0.8362, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8735, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7351, kappa: 0.0464, kb_relative_information_score: 1.2947, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7333, predictive_accuracy: 0.8031, prior_entropy: 0.7158, recall: 0.8031, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9713, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8268, kappa: 0.3921, kb_relative_information_score: 404.8869, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8374, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8145, scimark_benchmark: 932.2692, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.8502, kappa: 0.5026, kb_relative_information_score: 354.3591, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8474, predictive_accuracy: 0.8554, prior_entropy: 0.7158, recall: 0.8554, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.8351, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -22.4893, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7158, recall: 0.8108, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 937.5117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8154, kappa: 0.3416, kb_relative_information_score: 340.8129, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8084, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -22.4893, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7158, recall: 0.8108, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 943.1009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7332, f_measure: 0.8448, kappa: 0.4896, kb_relative_information_score: 327.4605, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8423, predictive_accuracy: 0.8485, prior_entropy: 0.7158, recall: 0.8485, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.35, root_relative_squared_error: 0.8881, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8651, kappa: 0.5602, kb_relative_information_score: 361.8903, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8637, predictive_accuracy: 0.8669, prior_entropy: 0.7158, recall: 0.8669, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8261, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.8331, kappa: 0.4534, kb_relative_information_score: 412.4009, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8307, predictive_accuracy: 0.8362, prior_entropy: 0.7158, recall: 0.8362, relative_absolute_error: 0.6234, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.8735, scimark_benchmark: 938.1282, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8154, kappa: 0.3416, kb_relative_information_score: 340.8129, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8084, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7351, kappa: 0.0464, kb_relative_information_score: 1.2947, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7333, predictive_accuracy: 0.8031, prior_entropy: 0.7158, recall: 0.8031, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9713, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8268, kappa: 0.3921, kb_relative_information_score: 404.8869, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8374, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8145, scimark_benchmark: 938.4601, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.8502, kappa: 0.5026, kb_relative_information_score: 354.3591, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8474, predictive_accuracy: 0.8554, prior_entropy: 0.7158, recall: 0.8554, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.8351, scimark_benchmark: 936.9595, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -22.4893, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7158, recall: 0.8108, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 936.9595, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.8423, kappa: 0.481, kb_relative_information_score: 363.833, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8397, predictive_accuracy: 0.8462, prior_entropy: 0.7158, recall: 0.8462, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.8274, scimark_benchmark: 901.4991, usercpu_time_millis: 610, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.8382, kappa: 0.4689, kb_relative_information_score: 361.6291, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8357, predictive_accuracy: 0.8415, prior_entropy: 0.7158, recall: 0.8415, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.829, scimark_benchmark: 934.7923, usercpu_time_millis: 390, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.8297, kappa: 0.4297, kb_relative_information_score: 352.2789, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8259, predictive_accuracy: 0.8377, prior_entropy: 0.7158, recall: 0.8377, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8364, scimark_benchmark: 939.7241, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.8249, kappa: 0.4157, kb_relative_information_score: 348.5844, mean_absolute_error: 0.2216, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.7158, recall: 0.8323, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8412, scimark_benchmark: 944.235, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8193, f_measure: 0.8257, kappa: 0.4128, kb_relative_information_score: 340.86, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8217, predictive_accuracy: 0.8354, prior_entropy: 0.7158, recall: 0.8354, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3332, root_relative_squared_error: 0.8454, scimark_benchmark: 920.3788, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.8577, kappa: 0.5683, kb_relative_information_score: 529.8673, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8708, predictive_accuracy: 0.8508, prior_entropy: 0.7158, recall: 0.8508, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9215, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8563, kappa: 0.565, kb_relative_information_score: 522.3294, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.87, predictive_accuracy: 0.8492, prior_entropy: 0.7158, recall: 0.8492, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9154, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.8615, kappa: 0.574, kb_relative_information_score: 540.3001, mean_absolute_error: 0.1512, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8707, predictive_accuracy: 0.8562, prior_entropy: 0.7158, recall: 0.8562, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3505, root_relative_squared_error: 0.8893, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8656, f_measure: 0.8759, kappa: 0.6199, kb_relative_information_score: 558.9671, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8858, predictive_accuracy: 0.8708, prior_entropy: 0.7158, recall: 0.8708, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.8668, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8154, kappa: 0.3416, kb_relative_information_score: 340.8129, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8084, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6841, f_measure: 0.7351, kappa: 0.0464, kb_relative_information_score: 1.2947, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7333, predictive_accuracy: 0.8031, prior_entropy: 0.7158, recall: 0.8031, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9713, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8154, kappa: 0.3416, kb_relative_information_score: 340.8129, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8084, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7218, kb_relative_information_score: 353.6878, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.6524, predictive_accuracy: 0.8077, prior_entropy: 0.7158, recall: 0.8077, relative_absolute_error: 0.6134, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4385, root_relative_squared_error: 1.1126, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8154, kappa: 0.3416, kb_relative_information_score: 340.8129, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8524, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6954, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8084, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8268, kappa: 0.3921, kb_relative_information_score: 404.8869, mean_absolute_error: 0.1888, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8374, predictive_accuracy: 0.85, prior_entropy: 0.7158, recall: 0.85, relative_absolute_error: 0.6021, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8145, scimark_benchmark: 1333.202, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -22.4893, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7158, recall: 0.8108, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, f_measure: 0.8651, kappa: 0.5602, kb_relative_information_score: 361.8903, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8637, predictive_accuracy: 0.8669, prior_entropy: 0.7158, recall: 0.8669, relative_absolute_error: 0.6671, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8261, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.7743, kappa: 0.1931, kb_relative_information_score: -561.4167, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7885, predictive_accuracy: 0.8192, prior_entropy: 0.7158, recall: 0.8192, relative_absolute_error: 1.1511, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.4226, root_relative_squared_error: 1.0722, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.8502, kappa: 0.5026, kb_relative_information_score: 354.3591, mean_absolute_error: 0.2255, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.8474, predictive_accuracy: 0.8554, prior_entropy: 0.7158, recall: 0.8554, relative_absolute_error: 0.7192, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.8351, scimark_benchmark: 1324.8408, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7606, kappa: 0.1426, kb_relative_information_score: -22.4893, mean_absolute_error: 0.2775, mean_prior_absolute_error: 0.3135, number_of_instances: 1300, precision: 0.7683, predictive_accuracy: 0.8108, prior_entropy: 0.7158, recall: 0.8108, relative_absolute_error: 0.8852, root_mean_prior_squared_error: 0.3941, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9681, scimark_benchmark: 1310.6554, 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