Task
Supervised Classification on autoUniv-au6-1000

Supervised Classification on autoUniv-au6-1000

Task 9902 Supervised Classification autoUniv-au6-1000 550 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5579, f_measure: 0.1963, kappa: 0.0624, kb_relative_information_score: 123.969, mean_absolute_error: 0.2061, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2022, predictive_accuracy: 0.233, prior_entropy: 2.9228, recall: 0.233, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.4207, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.1565, kappa: 0.0152, kb_relative_information_score: 78.3576, mean_absolute_error: 0.2133, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1525, predictive_accuracy: 0.184, prior_entropy: 2.9228, recall: 0.184, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3368, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.157, kappa: 0.0735, kb_relative_information_score: 80.4294, mean_absolute_error: 0.206, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1441, predictive_accuracy: 0.284, prior_entropy: 2.9228, recall: 0.284, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.323, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.4207, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.1354, kappa: -0.0067, kb_relative_information_score: 111.4844, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1364, predictive_accuracy: 0.15, prior_entropy: 2.9228, recall: 0.15, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3599, root_relative_squared_error: 1.0983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5727, f_measure: 0.2109, kappa: 0.0782, kb_relative_information_score: 160.7159, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2071, predictive_accuracy: 0.221, prior_entropy: 2.9228, recall: 0.221, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3868, root_relative_squared_error: 1.1804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5226, f_measure: 0.1609, kappa: 0.0243, kb_relative_information_score: 81.4809, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1534, predictive_accuracy: 0.19, prior_entropy: 2.9228, recall: 0.19, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.1566, kappa: 0.0164, kb_relative_information_score: 95.902, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1548, predictive_accuracy: 0.159, prior_entropy: 2.9228, recall: 0.159, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4377, root_relative_squared_error: 1.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.1639, kappa: 0.0597, kb_relative_information_score: 94.0315, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1453, predictive_accuracy: 0.23, prior_entropy: 2.9228, recall: 0.23, relative_absolute_error: 0.9792, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3286, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5012, f_measure: 0.1427, kappa: -0.0043, kb_relative_information_score: 98.3124, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1387, predictive_accuracy: 0.156, prior_entropy: 2.9228, recall: 0.156, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.354, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.1118, kappa: 0.01, kb_relative_information_score: 41.1357, mean_absolute_error: 0.2138, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0916, predictive_accuracy: 0.235, prior_entropy: 2.9228, recall: 0.235, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3276, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.1663, kappa: 0.0282, kb_relative_information_score: 54.3738, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1755, predictive_accuracy: 0.21, prior_entropy: 2.9228, recall: 0.21, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5361, f_measure: 0.1048, kappa: 0.005, kb_relative_information_score: 33.7907, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0827, predictive_accuracy: 0.235, prior_entropy: 2.9228, recall: 0.235, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3268, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5786, f_measure: 0.2175, kappa: 0.085, kb_relative_information_score: 144.6497, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2162, predictive_accuracy: 0.233, prior_entropy: 2.9228, recall: 0.233, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.0173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5986, f_measure: 0.1572, kappa: 0.0794, kb_relative_information_score: 69.0408, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1464, predictive_accuracy: 0.276, prior_entropy: 2.9228, recall: 0.276, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.324, root_relative_squared_error: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.4207, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.1765, kappa: 0.0421, kb_relative_information_score: 150.6157, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1758, predictive_accuracy: 0.186, prior_entropy: 2.9228, recall: 0.186, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3516, root_relative_squared_error: 1.0731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5146, f_measure: 0.1674, kappa: 0.0219, kb_relative_information_score: 134.6143, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1821, predictive_accuracy: 0.181, prior_entropy: 2.9228, recall: 0.181, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.356, root_relative_squared_error: 1.0866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5366, f_measure: 0.1682, kappa: 0.0393, kb_relative_information_score: 126.1084, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1643, predictive_accuracy: 0.189, prior_entropy: 2.9228, recall: 0.189, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3474, root_relative_squared_error: 1.0604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.1936, kappa: 0.0628, kb_relative_information_score: 125.2128, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1965, predictive_accuracy: 0.192, prior_entropy: 2.9228, recall: 0.192, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.3058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.1603, kappa: 0.0231, kb_relative_information_score: 81.5951, mean_absolute_error: 0.2127, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1531, predictive_accuracy: 0.189, prior_entropy: 2.9228, recall: 0.189, relative_absolute_error: 0.9904, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.0335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.1252, kappa: -0.0017, kb_relative_information_score: 68.234, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1419, predictive_accuracy: 0.215, prior_entropy: 2.9228, recall: 0.215, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.0929, kb_relative_information_score: 75.6091, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9914, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.1626, kappa: 0.0472, kb_relative_information_score: 77.4916, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1827, predictive_accuracy: 0.242, prior_entropy: 2.9228, recall: 0.242, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.328, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5895, f_measure: 0.1803, kappa: 0.0808, kb_relative_information_score: 87.9182, mean_absolute_error: 0.2101, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2068, predictive_accuracy: 0.27, prior_entropy: 2.9228, recall: 0.27, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5199, f_measure: 0.0929, kb_relative_information_score: 73.3098, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.0929, kb_relative_information_score: 69.1656, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3318, root_relative_squared_error: 1.0127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.1683, kappa: 0.0272, kb_relative_information_score: 112.663, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1667, predictive_accuracy: 0.172, prior_entropy: 2.9228, recall: 0.172, relative_absolute_error: 0.9742, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3892, root_relative_squared_error: 1.1878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.1609, kappa: 0.02, kb_relative_information_score: 81.2625, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1575, predictive_accuracy: 0.187, prior_entropy: 2.9228, recall: 0.187, relative_absolute_error: 0.9924, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3378, root_relative_squared_error: 1.0308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.1936, kappa: 0.0628, kb_relative_information_score: 125.2128, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1965, predictive_accuracy: 0.192, prior_entropy: 2.9228, recall: 0.192, relative_absolute_error: 0.9519, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4278, root_relative_squared_error: 1.3058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 1.0648, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.186, kappa: 0.0509, kb_relative_information_score: 118.8275, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1874, predictive_accuracy: 0.208, prior_entropy: 2.9228, recall: 0.208, relative_absolute_error: 0.9746, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3381, root_relative_squared_error: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.2072, kappa: 0.0772, kb_relative_information_score: 136.2723, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2088, predictive_accuracy: 0.206, prior_entropy: 2.9228, recall: 0.206, relative_absolute_error: 0.9244, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4455, root_relative_squared_error: 1.3598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.2304, kappa: 0.1043, kb_relative_information_score: 169.6327, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2287, predictive_accuracy: 0.233, prior_entropy: 2.9228, recall: 0.233, relative_absolute_error: 0.9089, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3943, root_relative_squared_error: 1.2035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.2302, kappa: 0.104, kb_relative_information_score: 163.5618, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2326, predictive_accuracy: 0.23, prior_entropy: 2.9228, recall: 0.23, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.6573, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.1634, kappa: 0.0971, kb_relative_information_score: 77.8305, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1565, predictive_accuracy: 0.279, prior_entropy: 2.9228, recall: 0.279, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.2501, kappa: 0.1352, kb_relative_information_score: 161.1477, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2504, predictive_accuracy: 0.28, prior_entropy: 2.9228, recall: 0.28, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.2305, kappa: 0.1023, kb_relative_information_score: 180.327, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2309, predictive_accuracy: 0.231, prior_entropy: 2.9228, recall: 0.231, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.1597, kappa: 0.0941, kb_relative_information_score: 76.1248, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1367, predictive_accuracy: 0.277, prior_entropy: 2.9228, recall: 0.277, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3247, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.2274, kappa: 0.1294, kb_relative_information_score: 149.4441, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2143, predictive_accuracy: 0.275, prior_entropy: 2.9228, recall: 0.275, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.6573, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6405, f_measure: 0.2358, kappa: 0.1262, kb_relative_information_score: 163.2724, mean_absolute_error: 0.1992, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2323, predictive_accuracy: 0.277, prior_entropy: 2.9228, recall: 0.277, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.2232, kappa: 0.0929, kb_relative_information_score: 169.7801, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2223, predictive_accuracy: 0.226, prior_entropy: 2.9228, recall: 0.226, relative_absolute_error: 0.919, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3687, root_relative_squared_error: 1.1253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.2302, kappa: 0.104, kb_relative_information_score: 163.5618, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2326, predictive_accuracy: 0.23, prior_entropy: 2.9228, recall: 0.23, relative_absolute_error: 0.9109, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.4185, root_relative_squared_error: 1.2773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6386, f_measure: 0.2443, kappa: 0.1201, kb_relative_information_score: 191.1574, mean_absolute_error: 0.1949, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2439, predictive_accuracy: 0.255, prior_entropy: 2.9228, recall: 0.255, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3327, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6229, f_measure: 0.2343, kappa: 0.1223, kb_relative_information_score: 145.6655, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2365, predictive_accuracy: 0.278, prior_entropy: 2.9228, recall: 0.278, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.0929, kb_relative_information_score: 0.6573, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.0576, predictive_accuracy: 0.24, prior_entropy: 2.9228, recall: 0.24, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3277, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.2421, kappa: 0.1274, kb_relative_information_score: 155.073, mean_absolute_error: 0.1997, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2439, predictive_accuracy: 0.277, prior_entropy: 2.9228, recall: 0.277, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.2434, kappa: 0.1351, kb_relative_information_score: 164.9534, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2448, predictive_accuracy: 0.285, prior_entropy: 2.9228, recall: 0.285, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3213, root_relative_squared_error: 0.9806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.2344, kappa: 0.1072, kb_relative_information_score: 168.7852, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2314, predictive_accuracy: 0.242, prior_entropy: 2.9228, recall: 0.242, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3688, root_relative_squared_error: 1.1256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.2279, kappa: 0.1055, kb_relative_information_score: 184.5109, mean_absolute_error: 0.1962, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2221, predictive_accuracy: 0.245, prior_entropy: 2.9228, recall: 0.245, relative_absolute_error: 0.9137, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.325, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.2273, kappa: 0.1287, kb_relative_information_score: 151.1806, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2142, predictive_accuracy: 0.273, prior_entropy: 2.9228, recall: 0.273, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.2308, kappa: 0.1086, kb_relative_information_score: 180.8926, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2257, predictive_accuracy: 0.253, prior_entropy: 2.9228, recall: 0.253, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3263, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6397, f_measure: 0.2429, kappa: 0.1188, kb_relative_information_score: 191.32, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2423, predictive_accuracy: 0.253, prior_entropy: 2.9228, recall: 0.253, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.333, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.1492, kappa: 0.0949, kb_relative_information_score: 68.0885, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1022, predictive_accuracy: 0.286, prior_entropy: 2.9228, recall: 0.286, relative_absolute_error: 0.9777, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.2374, kappa: 0.1153, kb_relative_information_score: 186.6613, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2333, predictive_accuracy: 0.255, prior_entropy: 2.9228, recall: 0.255, relative_absolute_error: 0.9122, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.2273, kappa: 0.1287, kb_relative_information_score: 151.1806, mean_absolute_error: 0.2021, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2142, predictive_accuracy: 0.273, prior_entropy: 2.9228, recall: 0.273, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, f_measure: 0.2274, kappa: 0.1294, kb_relative_information_score: 149.4441, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2143, predictive_accuracy: 0.275, prior_entropy: 2.9228, recall: 0.275, relative_absolute_error: 0.942, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.98,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5748, f_measure: 0.2305, kappa: 0.1023, kb_relative_information_score: 180.327, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2309, predictive_accuracy: 0.231, prior_entropy: 2.9228, recall: 0.231, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.1795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.2501, kappa: 0.1352, kb_relative_information_score: 161.1477, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2504, predictive_accuracy: 0.28, prior_entropy: 2.9228, recall: 0.28, relative_absolute_error: 0.9263, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.1558, kappa: 0.0956, kb_relative_information_score: 72.0888, mean_absolute_error: 0.2098, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.1304, predictive_accuracy: 0.283, prior_entropy: 2.9228, recall: 0.283, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.9895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.2343, kappa: 0.125, kb_relative_information_score: 174.5809, mean_absolute_error: 0.1976, mean_prior_absolute_error: 0.2147, number_of_instances: 1000, precision: 0.2301, predictive_accuracy: 0.275, prior_entropy: 2.9228, recall: 0.275, relative_absolute_error: 0.9203, root_mean_prior_squared_error: 0.3277, root_mean_squared_error: 0.3214, root_relative_squared_error: 0.981,

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