Task
Supervised Classification on OVA_Ovary

Supervised Classification on OVA_Ovary

Task 4000 Supervised Classification OVA_Ovary 190 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.9138, kappa: 0.6139, kb_relative_information_score: 770.3657, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9137, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.397, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8682, scimark_benchmark: 1087.6113, usercpu_time_millis: 23380, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 23340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.917, kappa: 0.6115, kb_relative_information_score: 662.496, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9157, predictive_accuracy: 0.921, prior_entropy: 0.5537, recall: 0.921, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7646, scimark_benchmark: 1117.2496, usercpu_time_millis: 9520, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 9270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8834, kappa: 0.4107, kb_relative_information_score: 435.331, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8957, predictive_accuracy: 0.9029, prior_entropy: 0.5537, recall: 0.9029, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.253, root_relative_squared_error: 0.7569, scimark_benchmark: 906.6678, usercpu_time_millis: 6280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 6160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 603.8418, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.974, scimark_benchmark: 924.9981, usercpu_time_millis: 178500, usercpu_time_millis_testing: 178490, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8614, kappa: 0.4888, kb_relative_information_score: 155.6381, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9029, predictive_accuracy: 0.8427, prior_entropy: 0.5537, recall: 0.8427, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.1865, scimark_benchmark: 1081.3376, usercpu_time_millis: 15450, usercpu_time_millis_testing: 11730, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.9261, kappa: 0.6662, kb_relative_information_score: 896.9371, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9255, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.8091, scimark_benchmark: 1126.5323, usercpu_time_millis: 20270, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 19530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.9187, kappa: 0.6431, kb_relative_information_score: 794.1898, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9172, prior_entropy: 0.5537, recall: 0.9172, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.7862, scimark_benchmark: 1097.4606, usercpu_time_millis: 94070, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 94040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7732, f_measure: 0.8544, kappa: 0.376, kb_relative_information_score: 171.1586, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8615, predictive_accuracy: 0.8485, prior_entropy: 0.5537, recall: 0.8485, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.1287, scimark_benchmark: 1326.5879, usercpu_time_millis: 450240, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 449940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.9143, kappa: 0.61, kb_relative_information_score: 799.9979, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9132, predictive_accuracy: 0.9159, prior_entropy: 0.5537, recall: 0.9159, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.8678, scimark_benchmark: 1379.6647, usercpu_time_millis: 10670, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 10020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.8746, kappa: 0.3605, kb_relative_information_score: 562.4235, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8893, predictive_accuracy: 0.8977, prior_entropy: 0.5537, recall: 0.8977, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.8391, scimark_benchmark: 990.6747, usercpu_time_millis: 284520, usercpu_time_millis_testing: 284520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.8694, kappa: 0.3381, kb_relative_information_score: 556.3109, mean_absolute_error: 0.1194, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8767, predictive_accuracy: 0.8919, prior_entropy: 0.5537, recall: 0.8919, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.838, scimark_benchmark: 1400.7507, usercpu_time_millis: 323180, usercpu_time_millis_testing: 323180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7712, f_measure: 0.9111, kappa: 0.5959, kb_relative_information_score: 755.5873, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.91, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.862, scimark_benchmark: 1393.6292, usercpu_time_millis: 1614710, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1614670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7244, f_measure: 0.9017, kappa: 0.5271, kb_relative_information_score: 746.3059, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9012, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.4046, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8967, scimark_benchmark: 1400.4776, usercpu_time_millis: 1541060, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 1539940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8947, kappa: 0.5774, kb_relative_information_score: 538.419, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9132, predictive_accuracy: 0.8854, prior_entropy: 0.5537, recall: 0.8854, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3356, root_relative_squared_error: 1.0041, scimark_benchmark: 1387.8948, usercpu_time_millis: 1522970, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1522840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.941, kappa: 0.7222, kb_relative_information_score: 823.9289, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9419, predictive_accuracy: 0.9443, prior_entropy: 0.5537, recall: 0.9443, relative_absolute_error: 0.4361, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.6117, scimark_benchmark: 1561.1299, usercpu_time_millis: 1493180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1493100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8575, f_measure: 0.8892, kappa: 0.5583, kb_relative_information_score: 481.451, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9095, predictive_accuracy: 0.879, prior_entropy: 0.5537, recall: 0.879, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3463, root_relative_squared_error: 1.0359, scimark_benchmark: 1395.1584, usercpu_time_millis: 1520950, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 1520820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.9181, kappa: 0.6264, kb_relative_information_score: 693.1152, mean_absolute_error: 0.107, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9169, predictive_accuracy: 0.9197, prior_entropy: 0.5537, recall: 0.9197, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.7756, scimark_benchmark: 1567.3205, usercpu_time_millis: 1328290, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1328250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.9263, kappa: 0.6594, kb_relative_information_score: 914.044, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9252, predictive_accuracy: 0.9288, prior_entropy: 0.5537, recall: 0.9288, relative_absolute_error: 0.3181, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.7983, scimark_benchmark: 1402.9514, usercpu_time_millis: 1676920, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1676880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.9027, kappa: 0.5263, kb_relative_information_score: 736.6912, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9045, predictive_accuracy: 0.9126, prior_entropy: 0.5537, recall: 0.9126, relative_absolute_error: 0.4233, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2612, root_relative_squared_error: 0.7813, scimark_benchmark: 1457.2533, usercpu_time_millis: 1469030, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 1466630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.8896, kappa: 0.493, kb_relative_information_score: 584.5542, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8873, predictive_accuracy: 0.8926, prior_entropy: 0.5537, recall: 0.8926, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8898, scimark_benchmark: 1390.5199, usercpu_time_millis: 207310, usercpu_time_millis_testing: 207300, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.9044, kappa: 0.5332, kb_relative_information_score: 735.696, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9072, predictive_accuracy: 0.9146, prior_entropy: 0.5537, recall: 0.9146, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.7774, scimark_benchmark: 1378.8751, usercpu_time_millis: 1698860, usercpu_time_millis_testing: 2800, usercpu_time_millis_training: 1696060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.9081, kappa: 0.5802, kb_relative_information_score: 720.4146, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9066, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.8292, scimark_benchmark: 1499.965, usercpu_time_millis: 1445990, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 1444000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.8122, kb_relative_information_score: 37.8536, mean_absolute_error: 0.2156, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.9631, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0007, scimark_benchmark: 979.8431, usercpu_time_millis: 1026920, usercpu_time_millis_testing: 215530, usercpu_time_millis_training: 811390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9409, kappa: 0.7288, kb_relative_information_score: 996.2386, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9402, predictive_accuracy: 0.9424, prior_entropy: 0.5537, recall: 0.9424, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.686, scimark_benchmark: 1311.1722, usercpu_time_millis: 637820, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 637790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.9309, kappa: 0.6803, kb_relative_information_score: 953.9601, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.93, predictive_accuracy: 0.9333, prior_entropy: 0.5537, recall: 0.9333, relative_absolute_error: 0.2979, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.7724, scimark_benchmark: 1454.8566, usercpu_time_millis: 1400850, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1400800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8834, f_measure: 0.907, kappa: 0.588, kb_relative_information_score: 661.2579, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.908, predictive_accuracy: 0.9061, prior_entropy: 0.5537, recall: 0.9061, relative_absolute_error: 0.4476, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8731, scimark_benchmark: 1126.4598, usercpu_time_millis: 1924060, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1923910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.9278, kappa: 0.675, kb_relative_information_score: 830.7297, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9274, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.399, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7497, scimark_benchmark: 1342.7346, usercpu_time_millis: 1524230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1524150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7535, f_measure: 0.9118, kappa: 0.6044, kb_relative_information_score: 755.2475, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9116, predictive_accuracy: 0.912, prior_entropy: 0.5537, recall: 0.912, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2934, root_relative_squared_error: 0.8778, scimark_benchmark: 853.4752, usercpu_time_millis: 35850, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 35760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.86, kappa: 0.4866, kb_relative_information_score: 138.5303, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9031, predictive_accuracy: 0.8408, prior_entropy: 0.5537, recall: 0.8408, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.399, root_relative_squared_error: 1.1938, scimark_benchmark: 583.0014, usercpu_time_millis: 35260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 35160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8788, kappa: 0.3856, kb_relative_information_score: 439.155, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8907, predictive_accuracy: 0.8997, prior_entropy: 0.5537, recall: 0.8997, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.252, root_relative_squared_error: 0.7538, scimark_benchmark: 523.7462, usercpu_time_millis: 13840, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 13670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9319, kappa: 0.6836, kb_relative_information_score: 937.8577, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9312, predictive_accuracy: 0.9346, prior_entropy: 0.5537, recall: 0.9346, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.7034, scimark_benchmark: 650.7499, usercpu_time_millis: 2501010, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2500970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.9175, kappa: 0.6138, kb_relative_information_score: 676.0923, mean_absolute_error: 0.1104, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9163, predictive_accuracy: 0.9217, prior_entropy: 0.5537, recall: 0.9217, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.7684, scimark_benchmark: 768.2352, usercpu_time_millis: 17460, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 17360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.9153, kappa: 0.6214, kb_relative_information_score: 785.2061, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9154, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3907, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.8124, scimark_benchmark: 1046.5271, usercpu_time_millis: 94900, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 94790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9409, kappa: 0.7288, kb_relative_information_score: 996.2386, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9402, predictive_accuracy: 0.9424, prior_entropy: 0.5537, recall: 0.9424, relative_absolute_error: 0.2827, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.686, scimark_benchmark: 843.5432, usercpu_time_millis: 682410, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 682310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 603.8418, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4768, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.974, scimark_benchmark: 594.3628, usercpu_time_millis: 175330, usercpu_time_millis_testing: 167810, usercpu_time_millis_training: 7520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9158, kappa: 0.6177, kb_relative_information_score: 748.4313, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9148, predictive_accuracy: 0.9172, prior_entropy: 0.5537, recall: 0.9172, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.9082, kappa: 0.561, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9077, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8485, kappa: 0.343, kb_relative_information_score: 2.0625, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8537, predictive_accuracy: 0.844, prior_entropy: 0.5537, recall: 0.844, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.8608, kappa: 0.4875, kb_relative_information_score: 149.9353, mean_absolute_error: 0.1579, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9027, predictive_accuracy: 0.8421, prior_entropy: 0.5537, recall: 0.8421, relative_absolute_error: 0.7056, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.1889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9158, kappa: 0.6177, kb_relative_information_score: 748.4313, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9148, predictive_accuracy: 0.9172, prior_entropy: 0.5537, recall: 0.9172, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.7445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.9082, kappa: 0.561, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9077, predictive_accuracy: 0.9152, prior_entropy: 0.5537, recall: 0.9152, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8485, kappa: 0.343, kb_relative_information_score: 2.0625, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8537, predictive_accuracy: 0.844, prior_entropy: 0.5537, recall: 0.844, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.917, kappa: 0.6115, kb_relative_information_score: 662.496, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9157, predictive_accuracy: 0.921, prior_entropy: 0.5537, recall: 0.921, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8122, kb_relative_information_score: -2.5136, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.8708, kappa: 0.4199, kb_relative_information_score: 406.5387, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8704, predictive_accuracy: 0.8712, prior_entropy: 0.5537, recall: 0.8712, relative_absolute_error: 0.5755, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7996, f_measure: 0.9101, kappa: 0.5951, kb_relative_information_score: 537.7861, mean_absolute_error: 0.1394, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9096, predictive_accuracy: 0.9107, prior_entropy: 0.5537, recall: 0.9107, relative_absolute_error: 0.6227, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.8614, kappa: 0.4888, kb_relative_information_score: 155.6381, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9029, predictive_accuracy: 0.8427, prior_entropy: 0.5537, recall: 0.8427, relative_absolute_error: 0.7027, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.8122, kb_relative_information_score: -2.5136, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3343, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8319, f_measure: 0.8625, kappa: 0.4879, kb_relative_information_score: 174.0245, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9012, predictive_accuracy: 0.8447, prior_entropy: 0.5537, recall: 0.8447, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3936, root_relative_squared_error: 1.1776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.754, f_measure: 0.6974, kappa: 0.2191, kb_relative_information_score: -1681.3688, mean_absolute_error: 0.3635, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8718, predictive_accuracy: 0.6375, prior_entropy: 0.5537, recall: 0.6375, relative_absolute_error: 1.6241, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.5978, root_relative_squared_error: 1.7883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.8122, kb_relative_information_score: 306.2936, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3471, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8361, f_measure: 0.8596, kappa: 0.3777, kb_relative_information_score: 207.0069, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.861, predictive_accuracy: 0.8583, prior_entropy: 0.5537, recall: 0.8583, relative_absolute_error: 0.6564, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.8924, kappa: 0.4739, kb_relative_information_score: 697.3563, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8933, predictive_accuracy: 0.9042, prior_entropy: 0.5537, recall: 0.9042, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.8571, kappa: 0.4465, kb_relative_information_score: 144.2326, mean_absolute_error: 0.1586, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8859, predictive_accuracy: 0.8414, prior_entropy: 0.5537, recall: 0.8414, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5562, f_measure: 0.8392, kappa: 0.1597, kb_relative_information_score: 475.2995, mean_absolute_error: 0.121, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8558, predictive_accuracy: 0.879, prior_entropy: 0.5537, recall: 0.879, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3477, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.8827, kappa: 0.432, kb_relative_information_score: 606.1194, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8803, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.4743, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.8134, kappa: 0.0075, kb_relative_information_score: -4043.3854, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8246, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 2.2223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8122, kb_relative_information_score: 412.241, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.7601, predictive_accuracy: 0.8718, prior_entropy: 0.5537, recall: 0.8718, relative_absolute_error: 0.5726, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.358, root_relative_squared_error: 1.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0291, kb_relative_information_score: -6139.7091, mean_absolute_error: 0.8718, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.0164, predictive_accuracy: 0.1282, prior_entropy: 0.5537, recall: 0.1282, relative_absolute_error: 3.8953, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.9337, root_relative_squared_error: 2.7934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.9331, kappa: 0.6884, kb_relative_information_score: 900.6743, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.3223, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.876, kappa: 0.3924, kb_relative_information_score: 363.3046, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8739, predictive_accuracy: 0.89, prior_entropy: 0.5537, recall: 0.89, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9368, kappa: 0.7076, kb_relative_information_score: 828.9005, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9362, predictive_accuracy: 0.9392, prior_entropy: 0.5537, recall: 0.9392, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.6997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9329, kappa: 0.6849, kb_relative_information_score: 784.8478, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.933, predictive_accuracy: 0.9366, prior_entropy: 0.5537, recall: 0.9366, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9337, kappa: 0.6941, kb_relative_information_score: 727.5607, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9329, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.6645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.814, f_measure: 0.9164, kappa: 0.6092, kb_relative_information_score: 721.0891, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.915, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.4672, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2703, root_relative_squared_error: 0.8086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.9445, kappa: 0.7413, kb_relative_information_score: 821.7816, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9446, predictive_accuracy: 0.9469, prior_entropy: 0.5537, recall: 0.9469, relative_absolute_error: 0.4106, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2065, root_relative_squared_error: 0.6179,

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

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Download this task directly in your environment and automatically upload your results

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Use one of our APIs to download data from OpenML and upload your results

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