OpenML
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: 0.4977, 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: 0.7819, 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: 0.965, 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: 0.7244, 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: 0.7712, 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: 0.869, 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: 0.8575, 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: 0.8084, 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: 0.8031, f_measure: 0.9151, kappa: 0.6169, kb_relative_information_score: 799.9979, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9145, 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: 1391.0056, usercpu_time_millis: 120940, usercpu_time_millis_testing: 61480, usercpu_time_millis_training: 59460,
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, scimark_benchmark: 1641.8926, usercpu_time_millis: 388950, usercpu_time_millis_testing: 185440, usercpu_time_millis_training: 203510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.9211, kappa: 0.6442, kb_relative_information_score: 851.3186, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9205, predictive_accuracy: 0.9217, prior_entropy: 0.5537, recall: 0.9217, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.8372, scimark_benchmark: 1649.9931, usercpu_time_millis: 120880, usercpu_time_millis_testing: 57360, usercpu_time_millis_training: 63520,
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, scimark_benchmark: 1681.9409, usercpu_time_millis: 986980, usercpu_time_millis_testing: 218970, usercpu_time_millis_training: 768010,
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: 0.8376, 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: 0.7535, 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: 0.9517, 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: 0.863, 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: 0.9521, 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: 0.5, 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, scimark_benchmark: 1637.1238, usercpu_time_millis: 165970, usercpu_time_millis_testing: 53910, usercpu_time_millis_training: 112060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.934, kappa: 0.6863, kb_relative_information_score: 691.1631, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9355, predictive_accuracy: 0.9385, prior_entropy: 0.5537, recall: 0.9385, relative_absolute_error: 0.5304, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.6538, scimark_benchmark: 930.1844, usercpu_time_millis: 203660, usercpu_time_millis_testing: 2040, usercpu_time_millis_training: 201620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8031, f_measure: 0.9151, kappa: 0.6169, kb_relative_information_score: 799.9979, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9145, 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: 1922.3298, usercpu_time_millis: 88406.25, usercpu_time_millis_testing: 42718.75, usercpu_time_millis_training: 45687.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.9211, kappa: 0.6442, kb_relative_information_score: 851.3186, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9205, predictive_accuracy: 0.9217, prior_entropy: 0.5537, recall: 0.9217, relative_absolute_error: 0.3499, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.8372, scimark_benchmark: 1922.3298, usercpu_time_millis: 101656.25, usercpu_time_millis_testing: 45015.625, usercpu_time_millis_training: 56640.625,
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, scimark_benchmark: 1280.301, usercpu_time_millis: 101359.375, usercpu_time_millis_testing: 49328.125, usercpu_time_millis_training: 52031.25,
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, scimark_benchmark: 1922.3298, usercpu_time_millis: 257000, usercpu_time_millis_testing: 141875, usercpu_time_millis_training: 115125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.9275, kappa: 0.6617, kb_relative_information_score: 772.7357, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9307, prior_entropy: 0.5537, recall: 0.9307, relative_absolute_error: 0.4682, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.7417, scimark_benchmark: 1621.6994, usercpu_time_millis: 22720, usercpu_time_millis_testing: 1000, usercpu_time_millis_training: 21720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.9169, kappa: 0.6191, kb_relative_information_score: 818.2713, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9156, predictive_accuracy: 0.9191, prior_entropy: 0.5537, recall: 0.9191, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.258, root_relative_squared_error: 0.7719, scimark_benchmark: 1316.8833, usercpu_time_millis: 908670, usercpu_time_millis_testing: 1380, usercpu_time_millis_training: 907290,
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: 1806.5266, usercpu_time_millis: 11340, usercpu_time_millis_testing: 6750, usercpu_time_millis_training: 4590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.9229, kappa: 0.6335, kb_relative_information_score: 681.2087, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9233, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.9212, kappa: 0.6204, kb_relative_information_score: 657.4483, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9239, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.9158, kappa: 0.6116, kb_relative_information_score: 822.5205, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9142, predictive_accuracy: 0.9184, prior_entropy: 0.5537, recall: 0.9184, relative_absolute_error: 0.3638, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.919, kappa: 0.6232, kb_relative_information_score: 701.8656, mean_absolute_error: 0.1084, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9176, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.24, root_relative_squared_error: 0.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.9153, kappa: 0.6156, kb_relative_information_score: 805.7002, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9143, predictive_accuracy: 0.9165, prior_entropy: 0.5537, recall: 0.9165, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.289, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, f_measure: 0.8122, kb_relative_information_score: 37.9275, mean_absolute_error: 0.2155, 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: 0.963, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7323, f_measure: 0.9091, kappa: 0.5894, kb_relative_information_score: 738.1035, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9083, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.4138, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8876, scimark_benchmark: 1150.4212, usercpu_time_millis: 27320, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 27210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.8477, kappa: 0.467, kb_relative_information_score: -9.7297, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9053, predictive_accuracy: 0.8239, prior_entropy: 0.5537, recall: 0.8239, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.4196, root_relative_squared_error: 1.2553,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.8122, kb_relative_information_score: -175.7159, mean_absolute_error: 0.2296, 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: 1.0259, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3344, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9249, kappa: 0.6556, kb_relative_information_score: 896.2451, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9238, predictive_accuracy: 0.9269, prior_entropy: 0.5537, recall: 0.9269, relative_absolute_error: 0.3292, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.7835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.9153, kappa: 0.6214, kb_relative_information_score: 794.2955, mean_absolute_error: 0.0848, 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: 0.3788, 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: 0.9325, f_measure: 0.9174, kappa: 0.6105, kb_relative_information_score: 452.8335, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9166, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.8122, kb_relative_information_score: 6.6007, mean_absolute_error: 0.2224, 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: 0.9936, 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: 0.7932, f_measure: 0.9184, kappa: 0.624, kb_relative_information_score: 845.6163, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.917, predictive_accuracy: 0.921, prior_entropy: 0.5537, recall: 0.921, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.9381, kappa: 0.7109, kb_relative_information_score: 1017.53, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9381, predictive_accuracy: 0.9411, prior_entropy: 0.5537, recall: 0.9411, relative_absolute_error: 0.2662, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.237, root_relative_squared_error: 0.709,
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: 0.8915, f_measure: 0.9351, kappa: 0.7003, kb_relative_information_score: 1001.4761, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9343, predictive_accuracy: 0.9372, prior_entropy: 0.5537, recall: 0.9372, relative_absolute_error: 0.278, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2441, root_relative_squared_error: 0.7301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8793, kappa: 0.456, kb_relative_information_score: -7.5264, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8785, predictive_accuracy: 0.8803, prior_entropy: 0.5537, recall: 0.8803, relative_absolute_error: 0.7984, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.8592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9351, kappa: 0.7063, kb_relative_information_score: 776.9791, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9345, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4014, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.937, kappa: 0.7146, kb_relative_information_score: 657.7035, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9364, predictive_accuracy: 0.9379, prior_entropy: 0.5537, recall: 0.9379, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.9281, kappa: 0.6778, kb_relative_information_score: 908.3417, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.928, predictive_accuracy: 0.9282, prior_entropy: 0.5537, recall: 0.9282, relative_absolute_error: 0.321, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.268, root_relative_squared_error: 0.8019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.9297, kappa: 0.6756, kb_relative_information_score: 921.1823, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9287, predictive_accuracy: 0.932, prior_entropy: 0.5537, recall: 0.932, relative_absolute_error: 0.3221, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2417, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.9138, kappa: 0.639, kb_relative_information_score: 734.8374, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9229, predictive_accuracy: 0.9087, prior_entropy: 0.5537, recall: 0.9087, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.9305, kappa: 0.6848, kb_relative_information_score: 891.433, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9298, predictive_accuracy: 0.9314, prior_entropy: 0.5537, recall: 0.9314, relative_absolute_error: 0.3429, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.9277, kappa: 0.6693, kb_relative_information_score: 911.7094, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9295, prior_entropy: 0.5537, recall: 0.9295, relative_absolute_error: 0.3161, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9368, kappa: 0.7076, kb_relative_information_score: 874.9618, mean_absolute_error: 0.0831, 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: 0.3714, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2171, root_relative_squared_error: 0.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9144, kappa: 0.6189, kb_relative_information_score: 584.6772, mean_absolute_error: 0.1318, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9149, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.7822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.8122, kb_relative_information_score: 38.7279, mean_absolute_error: 0.2154, 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: 0.9623, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3345, root_relative_squared_error: 1.0006,
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,
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,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7797, f_measure: 0.8984, kappa: 0.5315, kb_relative_information_score: 678.4095, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8962, predictive_accuracy: 0.9016, prior_entropy: 0.5537, recall: 0.9016, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.9344, kappa: 0.6947, kb_relative_information_score: 993.4754, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9339, predictive_accuracy: 0.9372, prior_entropy: 0.5537, recall: 0.9372, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2407, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.8872, kappa: 0.5406, kb_relative_information_score: 327.4444, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9029, predictive_accuracy: 0.8783, prior_entropy: 0.5537, recall: 0.8783, relative_absolute_error: 0.693, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2787, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8499, kappa: 0.217, kb_relative_information_score: 268.1037, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8774, predictive_accuracy: 0.8861, prior_entropy: 0.5537, recall: 0.8861, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.27, root_relative_squared_error: 0.8078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8762, kappa: 0.3703, kb_relative_information_score: 406.0327, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8895, predictive_accuracy: 0.8984, prior_entropy: 0.5537, recall: 0.8984, relative_absolute_error: 0.6795, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.9118, kappa: 0.6132, kb_relative_information_score: 535.9555, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.914, predictive_accuracy: 0.91, prior_entropy: 0.5537, recall: 0.91, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9179, kappa: 0.6217, kb_relative_information_score: 605.8988, mean_absolute_error: 0.1294, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9164, predictive_accuracy: 0.9204, prior_entropy: 0.5537, recall: 0.9204, relative_absolute_error: 0.5783, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.8601, kappa: 0.3653, kb_relative_information_score: 327.707, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8583, predictive_accuracy: 0.8621, prior_entropy: 0.5537, recall: 0.8621, relative_absolute_error: 0.615, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.1094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.868, kappa: 0.3241, kb_relative_information_score: 355.7158, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8836, predictive_accuracy: 0.8939, prior_entropy: 0.5537, recall: 0.8939, relative_absolute_error: 0.7062, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.782,
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: 0.9499, f_measure: 0.8793, kappa: 0.3878, kb_relative_information_score: 416.9059, mean_absolute_error: 0.1503, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8922, predictive_accuracy: 0.9003, prior_entropy: 0.5537, recall: 0.9003, relative_absolute_error: 0.6716, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7427, f_measure: 0.9177, kappa: 0.6123, kb_relative_information_score: 611.192, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9167, predictive_accuracy: 0.9223, prior_entropy: 0.5537, recall: 0.9223, relative_absolute_error: 0.6069, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.9243, kappa: 0.6581, kb_relative_information_score: 742.2398, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9237, predictive_accuracy: 0.9249, prior_entropy: 0.5537, recall: 0.9249, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.6968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9462, f_measure: 0.8626, kappa: 0.2897, kb_relative_information_score: 338.8285, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8866, predictive_accuracy: 0.8926, prior_entropy: 0.5537, recall: 0.8926, relative_absolute_error: 0.7158, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2625, root_relative_squared_error: 0.7854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8931, kappa: 0.4831, kb_relative_information_score: 306.9508, mean_absolute_error: 0.1471, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.892, predictive_accuracy: 0.9029, prior_entropy: 0.5537, recall: 0.9029, relative_absolute_error: 0.657, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.7954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9417, kappa: 0.7336, kb_relative_information_score: 846.9662, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9411, predictive_accuracy: 0.943, prior_entropy: 0.5537, recall: 0.943, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2137, root_relative_squared_error: 0.6393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8909, kappa: 0.4517, kb_relative_information_score: 491.9919, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2442, root_relative_squared_error: 0.7306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9013, kappa: 0.51, kb_relative_information_score: 537.9894, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9096, predictive_accuracy: 0.9146, prior_entropy: 0.5537, recall: 0.9146, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9344, kappa: 0.6894, kb_relative_information_score: 686.4145, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9354, predictive_accuracy: 0.9385, prior_entropy: 0.5537, recall: 0.9385, relative_absolute_error: 0.5283, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2194, root_relative_squared_error: 0.6564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9348, kappa: 0.7037, kb_relative_information_score: 781.6785, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9341, predictive_accuracy: 0.9359, prior_entropy: 0.5537, recall: 0.9359, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.6653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9102, kappa: 0.5637, kb_relative_information_score: 598.4161, mean_absolute_error: 0.1295, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9129, predictive_accuracy: 0.9191, prior_entropy: 0.5537, recall: 0.9191, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.6936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9249, kappa: 0.6385, kb_relative_information_score: 626.0211, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9278, predictive_accuracy: 0.9314, prior_entropy: 0.5537, recall: 0.9314, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.8827, kappa: 0.4109, kb_relative_information_score: 384.0539, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8908, predictive_accuracy: 0.901, prior_entropy: 0.5537, recall: 0.901, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2583, root_relative_squared_error: 0.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9322, kappa: 0.6788, kb_relative_information_score: 655.8286, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9331, predictive_accuracy: 0.9366, prior_entropy: 0.5537, recall: 0.9366, relative_absolute_error: 0.544, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2242, root_relative_squared_error: 0.6706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9028, kappa: 0.5234, kb_relative_information_score: 571.6749, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9067, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2337, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.8975, kappa: 0.5404, kb_relative_information_score: 601.572, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.8973, predictive_accuracy: 0.8977, prior_entropy: 0.5537, recall: 0.8977, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.9377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9278, kappa: 0.6671, kb_relative_information_score: 776.8444, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9301, prior_entropy: 0.5537, recall: 0.9301, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.6983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.935, kappa: 0.6878, kb_relative_information_score: 763.7064, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9389, predictive_accuracy: 0.9405, prior_entropy: 0.5537, recall: 0.9405, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.6452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.9311, kappa: 0.6852, kb_relative_information_score: 807.7241, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9302, predictive_accuracy: 0.9327, prior_entropy: 0.5537, recall: 0.9327, relative_absolute_error: 0.3925, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2354, root_relative_squared_error: 0.7043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.9131, kappa: 0.6072, kb_relative_information_score: 781.3941, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9123, predictive_accuracy: 0.9139, prior_entropy: 0.5537, recall: 0.9139, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.8729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.8909, kappa: 0.4517, kb_relative_information_score: 467.5567, mean_absolute_error: 0.1439, mean_prior_absolute_error: 0.2238, number_of_instances: 1545, precision: 0.9028, predictive_accuracy: 0.9081, prior_entropy: 0.5537, recall: 0.9081, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.3343, root_mean_squared_error: 0.247, root_relative_squared_error: 0.739,

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