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Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 1782 Supervised Classification mfeat-morphological 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1312.2688, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1352.1128, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 926.6704, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1342.6911, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1343.2125, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.6907, kappa: 0.6563, kb_relative_information_score: 7158.9752, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.691, predictive_accuracy: 0.6907, prior_entropy: 3.3219, recall: 0.6907, relative_absolute_error: 0.3641, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7091, scimark_benchmark: 1064.8317, usercpu_time_millis: 4180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1350.2369, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.6914, kappa: 0.6639, kb_relative_information_score: 6904.0346, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.698, predictive_accuracy: 0.6975, prior_entropy: 3.3219, recall: 0.6975, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.6528, scimark_benchmark: 1345.7582, usercpu_time_millis: 600, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1327.035, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.699, kappa: 0.6676, kb_relative_information_score: 7396.0724, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.699, predictive_accuracy: 0.7008, prior_entropy: 3.3219, recall: 0.7008, relative_absolute_error: 0.3771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.6577, scimark_benchmark: 943.1756, usercpu_time_millis: 15310, usercpu_time_millis_testing: 15310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9208, f_measure: 0.6916, kappa: 0.6798, kb_relative_information_score: 7380.9994, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7086, predictive_accuracy: 0.7118, prior_entropy: 3.3219, recall: 0.7118, relative_absolute_error: 0.3642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.675, scimark_benchmark: 932.0242, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.6766, kappa: 0.6504, kb_relative_information_score: 7256.1833, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6829, predictive_accuracy: 0.6854, prior_entropy: 3.3219, recall: 0.6854, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.6987, scimark_benchmark: 1334.2813, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.6704, kappa: 0.6336, kb_relative_information_score: 6567.667, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6713, predictive_accuracy: 0.6702, prior_entropy: 3.3219, recall: 0.6702, relative_absolute_error: 0.3732, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.8454, scimark_benchmark: 1298.4923, usercpu_time_millis: 270, usercpu_time_millis_testing: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.5776, kappa: 0.5374, kb_relative_information_score: 3548.2509, mean_absolute_error: 0.1514, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5822, predictive_accuracy: 0.5837, prior_entropy: 3.3219, recall: 0.5837, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.8751, scimark_benchmark: 937.5996, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.6769, kappa: 0.6564, kb_relative_information_score: 6766.5178, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6767, predictive_accuracy: 0.6908, prior_entropy: 3.3219, recall: 0.6908, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.8289, scimark_benchmark: 765.566, usercpu_time_millis: 9280, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 9230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7611, f_measure: 0.1453, kappa: 0.1096, kb_relative_information_score: 2863.8438, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.1242, predictive_accuracy: 0.1986, prior_entropy: 3.3219, recall: 0.1986, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9447, scimark_benchmark: 1337.6765, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.7417, kappa: 0.7138, kb_relative_information_score: 7600.6439, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7437, predictive_accuracy: 0.7424, prior_entropy: 3.3219, recall: 0.7424, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6052, scimark_benchmark: 1270.2428, usercpu_time_millis: 6700, usercpu_time_millis_training: 6700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.7035, kappa: 0.6798, kb_relative_information_score: 7107.7491, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.707, predictive_accuracy: 0.7118, prior_entropy: 3.3219, recall: 0.7118, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.7528, scimark_benchmark: 1305.7138, usercpu_time_millis: 1260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9564, f_measure: 0.7014, kappa: 0.6691, kb_relative_information_score: 7312.1656, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7012, predictive_accuracy: 0.7022, prior_entropy: 3.3219, recall: 0.7022, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2025, root_relative_squared_error: 0.675, scimark_benchmark: 1345.4669, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.7112, kappa: 0.6802, kb_relative_information_score: 7396.0458, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7111, predictive_accuracy: 0.7122, prior_entropy: 3.3219, recall: 0.7122, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6516, scimark_benchmark: 1311.1837, usercpu_time_millis: 810, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.7165, kappa: 0.6868, kb_relative_information_score: 7476.1948, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7187, predictive_accuracy: 0.7181, prior_entropy: 3.3219, recall: 0.7181, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.6256, scimark_benchmark: 1034.2235, usercpu_time_millis: 770, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.7158, kappa: 0.686, kb_relative_information_score: 7467.04, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7179, predictive_accuracy: 0.7174, prior_entropy: 3.3219, recall: 0.7174, relative_absolute_error: 0.3879, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6271, scimark_benchmark: 1313.6093, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6927, kappa: 0.6642, kb_relative_information_score: 7358.3688, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.696, predictive_accuracy: 0.6978, prior_entropy: 3.3219, recall: 0.6978, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2, root_relative_squared_error: 0.6665, scimark_benchmark: 1313.9606, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.635, kappa: 0.6341, kb_relative_information_score: 6997.3819, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6522, predictive_accuracy: 0.6707, prior_entropy: 3.3219, recall: 0.6707, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7091, scimark_benchmark: 1337.2572, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.635, kappa: 0.6341, kb_relative_information_score: 6997.3819, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6522, predictive_accuracy: 0.6707, prior_entropy: 3.3219, recall: 0.6707, relative_absolute_error: 0.4301, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7091, scimark_benchmark: 986.8456, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9429, f_measure: 0.6864, kappa: 0.6607, kb_relative_information_score: 7200.666, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6934, predictive_accuracy: 0.6946, prior_entropy: 3.3219, recall: 0.6946, relative_absolute_error: 0.4126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.6674, scimark_benchmark: 1350.9691, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.684, kappa: 0.6602, kb_relative_information_score: 7296.7566, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6926, predictive_accuracy: 0.6942, prior_entropy: 3.3219, recall: 0.6942, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.6954, scimark_benchmark: 1345.1228, usercpu_time_millis: 50, usercpu_time_millis_testing: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.5147, kappa: 0.4979, kb_relative_information_score: 5031.3146, mean_absolute_error: 0.1286, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.532, predictive_accuracy: 0.5481, prior_entropy: 3.3219, recall: 0.5481, relative_absolute_error: 0.7146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.795, scimark_benchmark: 932.0242, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.7369, kappa: 0.7088, kb_relative_information_score: 7634.4194, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7383, predictive_accuracy: 0.7379, prior_entropy: 3.3219, recall: 0.7379, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6079, scimark_benchmark: 1348.8402, usercpu_time_millis: 1590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5646, f_measure: 0.1892, kappa: 0.1292, kb_relative_information_score: 1804.3985, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.2303, predictive_accuracy: 0.2163, prior_entropy: 3.3219, recall: 0.2163, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.3197, scimark_benchmark: 854.5188, usercpu_time_millis: 1790, usercpu_time_millis_training: 1790,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.6728, kappa: 0.6732, kb_relative_information_score: 7255.6971, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6623, predictive_accuracy: 0.7059, prior_entropy: 3.3219, recall: 0.7059, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.6703, scimark_benchmark: 1334.8495, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.6873, kappa: 0.6706, kb_relative_information_score: 7152.5688, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7055, predictive_accuracy: 0.7035, prior_entropy: 3.3219, recall: 0.7035, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.6687, scimark_benchmark: 825.5282, usercpu_time_millis: 270, usercpu_time_millis_training: 270,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.6855, kappa: 0.6568, kb_relative_information_score: 6769.6551, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.688, predictive_accuracy: 0.6911, prior_entropy: 3.3219, recall: 0.6911, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.8285, scimark_benchmark: 1028.5889, usercpu_time_millis: 1630, usercpu_time_millis_training: 1630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.6912, kappa: 0.6791, kb_relative_information_score: 7376.2547, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7086, predictive_accuracy: 0.7112, prior_entropy: 3.3219, recall: 0.7112, relative_absolute_error: 0.3648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.6753, scimark_benchmark: 1028.5889, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, build_cpu_time: 1.2199, build_memory: 692320321.6, f_measure: 0.6981, kappa: 0.669, kb_relative_information_score: 3531.6851, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.708, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.8528, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, build_cpu_time: 1.1597, build_memory: 591224720, f_measure: 0.6981, kappa: 0.669, kb_relative_information_score: 3531.6851, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.708, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.8528, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, build_cpu_time: 1.1889, build_memory: 1648458416, f_measure: 0.6981, kappa: 0.669, kb_relative_information_score: 3531.6851, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.708, predictive_accuracy: 0.7021, prior_entropy: 3.3219, recall: 0.7021, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.8528, scimark_benchmark: 947.2691,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.1263, build_memory: 545943821.6, f_measure: 0.7098, kappa: 0.6788, kb_relative_information_score: 6583.006, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7105, predictive_accuracy: 0.7109, prior_entropy: 3.3219, recall: 0.7109, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.6587, scimark_benchmark: 939.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.1167, build_memory: 782602148.8, f_measure: 0.7089, kappa: 0.6779, kb_relative_information_score: 6732.2646, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7096, predictive_accuracy: 0.7101, prior_entropy: 3.3219, recall: 0.7101, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6559, scimark_benchmark: 940.5101,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.1335, build_memory: 83393212, f_measure: 0.7089, kappa: 0.6779, kb_relative_information_score: 6732.2646, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7096, predictive_accuracy: 0.7101, prior_entropy: 3.3219, recall: 0.7101, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6559, scimark_benchmark: 941.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, build_cpu_time: 0.1335, build_memory: 809911120.8, f_measure: 0.7089, kappa: 0.6779, kb_relative_information_score: 6732.2646, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7096, predictive_accuracy: 0.7101, prior_entropy: 3.3219, recall: 0.7101, relative_absolute_error: 0.4613, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.6559, scimark_benchmark: 882.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, build_cpu_time: 1.5133, build_memory: 1038770851.2, f_measure: 0.6905, kappa: 0.657, kb_relative_information_score: 6871.7806, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6901, predictive_accuracy: 0.6913, prior_entropy: 3.3219, recall: 0.6913, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7996, scimark_benchmark: 915.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9112, build_cpu_time: 0.9052, build_memory: 2071507188.8, f_measure: 0.6904, kappa: 0.6568, kb_relative_information_score: 6866.3782, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.69, predictive_accuracy: 0.6911, prior_entropy: 3.3219, recall: 0.6911, relative_absolute_error: 0.3454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7995, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, build_cpu_time: 0.4344, build_memory: 2520225672, f_measure: 0.6897, kappa: 0.656, kb_relative_information_score: 6858.8244, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6894, predictive_accuracy: 0.6904, prior_entropy: 3.3219, recall: 0.6904, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7993, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, build_cpu_time: 0.2524, build_memory: 1788067267.2, f_measure: 0.6875, kappa: 0.6536, kb_relative_information_score: 6845.351, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6873, predictive_accuracy: 0.6882, prior_entropy: 3.3219, recall: 0.6882, relative_absolute_error: 0.3492, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.7997, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, build_cpu_time: 0.1054, build_memory: 731066408.8, f_measure: 0.6861, kappa: 0.6519, kb_relative_information_score: 6825.9452, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6859, predictive_accuracy: 0.6867, prior_entropy: 3.3219, recall: 0.6867, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.24, root_relative_squared_error: 0.7999, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 2.9039, build_memory: 1013935756.8, f_measure: 0.7097, kappa: 0.6789, kb_relative_information_score: 7041.5114, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7098, predictive_accuracy: 0.711, prior_entropy: 3.3219, recall: 0.711, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.7817, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, build_cpu_time: 4.9243, build_memory: 1987716109.6, f_measure: 0.7075, kappa: 0.6759, kb_relative_information_score: 7037.1526, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7076, predictive_accuracy: 0.7083, prior_entropy: 3.3219, recall: 0.7083, relative_absolute_error: 0.326, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.235, root_relative_squared_error: 0.7835, scimark_benchmark: 924.9295,

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