Task
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 3560 Supervised Classification analcatdata_dmft 19794 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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19794 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.1978, kappa: 0.0392, kb_relative_information_score: 0.1317, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1995, number_of_instances: 797, precision: 0.2055, predictive_accuracy: 0.1995, prior_entropy: 2.5803, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.1262, unweighted_recall: 0.2028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5671, f_measure: 0.1961, kappa: 0.04, kb_relative_information_score: 0.091, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2033, number_of_instances: 797, precision: 0.1942, predictive_accuracy: 0.2033, prior_entropy: 2.5803, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3739, root_relative_squared_error: 1.0041, unweighted_recall: 0.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5306, f_measure: 0.1798, kappa: 0.0175, kb_relative_information_score: 0.1233, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1819, number_of_instances: 797, precision: 0.1863, predictive_accuracy: 0.1819, prior_entropy: 2.5803, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3992, root_relative_squared_error: 1.0718, unweighted_recall: 0.1832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5554, f_measure: 0.2026, kappa: 0.0407, kb_relative_information_score: 0.1104, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2774, weighted_recall: 0.202, number_of_instances: 797, precision: 0.2085, predictive_accuracy: 0.202, prior_entropy: 2.5803, relative_absolute_error: 0.9763, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.382, root_relative_squared_error: 1.0256, unweighted_recall: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5469, f_measure: 0.1909, kappa: 0.0313, kb_relative_information_score: 0.0952, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1932, number_of_instances: 797, precision: 0.1962, predictive_accuracy: 0.1932, prior_entropy: 2.5803, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0183, unweighted_recall: 0.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.56, f_measure: 0.1836, kappa: 0.0217, kb_relative_information_score: 0.0935, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1882, number_of_instances: 797, precision: 0.1873, predictive_accuracy: 0.1882, prior_entropy: 2.5803, relative_absolute_error: 0.981, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.0075, unweighted_recall: 0.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.1819, kappa: 0.0189, kb_relative_information_score: 0.0929, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1832, number_of_instances: 797, precision: 0.1864, predictive_accuracy: 0.1832, prior_entropy: 2.5803, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3781, root_relative_squared_error: 1.0153, unweighted_recall: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5481, f_measure: 0.1979, kappa: 0.0346, kb_relative_information_score: 0.109, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.197, number_of_instances: 797, precision: 0.2065, predictive_accuracy: 0.197, prior_entropy: 2.5803, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.383, root_relative_squared_error: 1.0283, unweighted_recall: 0.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.1952, kappa: 0.0359, kb_relative_information_score: 0.122, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2774, weighted_recall: 0.197, number_of_instances: 797, precision: 0.1968, predictive_accuracy: 0.197, prior_entropy: 2.5803, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.047, unweighted_recall: 0.1993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5486, f_measure: 0.1866, kappa: 0.0231, kb_relative_information_score: 0.0917, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.187, number_of_instances: 797, precision: 0.192, predictive_accuracy: 0.187, prior_entropy: 2.5803, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3784, root_relative_squared_error: 1.016, unweighted_recall: 0.1882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.1844, kappa: 0.021, kb_relative_information_score: 0.1128, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1844, number_of_instances: 797, precision: 0.1899, predictive_accuracy: 0.1844, prior_entropy: 2.5803, relative_absolute_error: 0.9778, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3864, root_relative_squared_error: 1.0374, unweighted_recall: 0.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.1851, kappa: 0.0198, kb_relative_information_score: 0.0898, mean_absolute_error: 0.2734, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1857, number_of_instances: 797, precision: 0.1908, predictive_accuracy: 0.1857, prior_entropy: 2.5803, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0173, unweighted_recall: 0.1851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.207, kappa: 0.0523, kb_relative_information_score: 0.0813, mean_absolute_error: 0.2733, mean_prior_absolute_error: 0.2774, weighted_recall: 0.212, number_of_instances: 797, precision: 0.2128, predictive_accuracy: 0.212, prior_entropy: 2.5803, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3748, root_relative_squared_error: 1.0063, unweighted_recall: 0.2139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.1975, kappa: 0.0367, kb_relative_information_score: 0.0912, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1982, number_of_instances: 797, precision: 0.2035, predictive_accuracy: 0.1982, prior_entropy: 2.5803, relative_absolute_error: 0.9826, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.0107, unweighted_recall: 0.1995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.1734, kappa: 0.0058, kb_relative_information_score: 0.0895, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1731, number_of_instances: 797, precision: 0.1778, predictive_accuracy: 0.1731, prior_entropy: 2.5803, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3818, root_relative_squared_error: 1.0252, unweighted_recall: 0.1743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.2091, kappa: 0.0523, kb_relative_information_score: 0.1201, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2108, number_of_instances: 797, precision: 0.2166, predictive_accuracy: 0.2108, prior_entropy: 2.5803, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.044, unweighted_recall: 0.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.1952, kappa: 0.0347, kb_relative_information_score: 0.0978, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1982, number_of_instances: 797, precision: 0.2044, predictive_accuracy: 0.1982, prior_entropy: 2.5803, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0081, unweighted_recall: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.2036, kappa: 0.0455, kb_relative_information_score: 0.138, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2045, number_of_instances: 797, precision: 0.2144, predictive_accuracy: 0.2045, prior_entropy: 2.5803, relative_absolute_error: 0.9683, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0702, unweighted_recall: 0.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.1917, kappa: 0.0295, kb_relative_information_score: 0.1158, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.2774, weighted_recall: 0.192, number_of_instances: 797, precision: 0.1947, predictive_accuracy: 0.192, prior_entropy: 2.5803, relative_absolute_error: 0.9781, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3889, root_relative_squared_error: 1.0441, unweighted_recall: 0.1945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2157, kappa: 0.0558, kb_relative_information_score: 0.1097, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2146, number_of_instances: 797, precision: 0.2218, predictive_accuracy: 0.2146, prior_entropy: 2.5803, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.382, root_relative_squared_error: 1.0258, unweighted_recall: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5654, f_measure: 0.2067, kappa: 0.0472, kb_relative_information_score: 0.0987, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2083, number_of_instances: 797, precision: 0.2085, predictive_accuracy: 0.2083, prior_entropy: 2.5803, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.0062, unweighted_recall: 0.2084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.1855, kappa: 0.0206, kb_relative_information_score: 0.1085, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1857, number_of_instances: 797, precision: 0.1903, predictive_accuracy: 0.1857, prior_entropy: 2.5803, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.0249, unweighted_recall: 0.1863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5415, f_measure: 0.2046, kappa: 0.0436, kb_relative_information_score: 0.1068, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2045, number_of_instances: 797, precision: 0.2112, predictive_accuracy: 0.2045, prior_entropy: 2.5803, relative_absolute_error: 0.9806, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3848, root_relative_squared_error: 1.0333, unweighted_recall: 0.2057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5515, f_measure: 0.1937, kappa: 0.0354, kb_relative_information_score: 0.117, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2774, weighted_recall: 0.197, number_of_instances: 797, precision: 0.1972, predictive_accuracy: 0.197, prior_entropy: 2.5803, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3876, root_relative_squared_error: 1.0409, unweighted_recall: 0.1984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5478, f_measure: 0.1832, kappa: 0.0171, kb_relative_information_score: 0.0933, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1832, number_of_instances: 797, precision: 0.1927, predictive_accuracy: 0.1832, prior_entropy: 2.5803, relative_absolute_error: 0.9832, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.014, unweighted_recall: 0.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.1747, kappa: 0.0092, kb_relative_information_score: 0.0766, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1769, number_of_instances: 797, precision: 0.1771, predictive_accuracy: 0.1769, prior_entropy: 2.5803, relative_absolute_error: 0.9878, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0079, unweighted_recall: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5651, f_measure: 0.1919, kappa: 0.0289, kb_relative_information_score: 0.0966, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1932, number_of_instances: 797, precision: 0.2017, predictive_accuracy: 0.1932, prior_entropy: 2.5803, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.0114, unweighted_recall: 0.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.1937, kappa: 0.0369, kb_relative_information_score: 0.0955, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1995, number_of_instances: 797, precision: 0.1982, predictive_accuracy: 0.1995, prior_entropy: 2.5803, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0113, unweighted_recall: 0.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, f_measure: 0.2, kappa: 0.0362, kb_relative_information_score: 0.1107, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1982, number_of_instances: 797, precision: 0.2068, predictive_accuracy: 0.1982, prior_entropy: 2.5803, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3917, root_relative_squared_error: 1.0518, unweighted_recall: 0.1999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5526, f_measure: 0.1912, kappa: 0.0317, kb_relative_information_score: 0.0878, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1945, number_of_instances: 797, precision: 0.1939, predictive_accuracy: 0.1945, prior_entropy: 2.5803, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3767, root_relative_squared_error: 1.0115, unweighted_recall: 0.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.1867, kappa: 0.0222, kb_relative_information_score: 0.0937, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.187, number_of_instances: 797, precision: 0.1958, predictive_accuracy: 0.187, prior_entropy: 2.5803, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.0197, unweighted_recall: 0.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5621, f_measure: 0.1956, kappa: 0.0333, kb_relative_information_score: 0.0971, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1957, number_of_instances: 797, precision: 0.1979, predictive_accuracy: 0.1957, prior_entropy: 2.5803, relative_absolute_error: 0.9799, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0078, unweighted_recall: 0.1965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, f_measure: 0.1863, kappa: 0.023, kb_relative_information_score: 0.116, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2774, weighted_recall: 0.187, number_of_instances: 797, precision: 0.1955, predictive_accuracy: 0.187, prior_entropy: 2.5803, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3859, root_relative_squared_error: 1.0361, unweighted_recall: 0.1887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.183, kappa: 0.0198, kb_relative_information_score: 0.1069, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1844, number_of_instances: 797, precision: 0.1861, predictive_accuracy: 0.1844, prior_entropy: 2.5803, relative_absolute_error: 0.9816, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3855, root_relative_squared_error: 1.0352, unweighted_recall: 0.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5506, f_measure: 0.1863, kappa: 0.0221, kb_relative_information_score: 0.0936, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, weighted_recall: 0.187, number_of_instances: 797, precision: 0.1904, predictive_accuracy: 0.187, prior_entropy: 2.5803, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.0125, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.2128, kappa: 0.0553, kb_relative_information_score: 0.1241, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2133, number_of_instances: 797, precision: 0.2183, predictive_accuracy: 0.2133, prior_entropy: 2.5803, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3871, root_relative_squared_error: 1.0393, unweighted_recall: 0.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5477, f_measure: 0.2078, kappa: 0.0459, kb_relative_information_score: 0.0893, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, weighted_recall: 0.207, number_of_instances: 797, precision: 0.2129, predictive_accuracy: 0.207, prior_entropy: 2.5803, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0117, unweighted_recall: 0.2065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.1891, kappa: 0.0256, kb_relative_information_score: 0.1078, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1895, number_of_instances: 797, precision: 0.1957, predictive_accuracy: 0.1895, prior_entropy: 2.5803, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3838, root_relative_squared_error: 1.0305, unweighted_recall: 0.1913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.1865, kappa: 0.0218, kb_relative_information_score: 0.0944, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2774, weighted_recall: 0.187, number_of_instances: 797, precision: 0.1894, predictive_accuracy: 0.187, prior_entropy: 2.5803, relative_absolute_error: 0.9824, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.377, root_relative_squared_error: 1.0124, unweighted_recall: 0.1874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5416, f_measure: 0.181, kappa: 0.0183, kb_relative_information_score: 0.0952, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1832, number_of_instances: 797, precision: 0.1827, predictive_accuracy: 0.1832, prior_entropy: 2.5803, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3804, root_relative_squared_error: 1.0215, unweighted_recall: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.2054, kappa: 0.0447, kb_relative_information_score: 0.0854, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, weighted_recall: 0.207, number_of_instances: 797, precision: 0.2112, predictive_accuracy: 0.207, prior_entropy: 2.5803, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0086, unweighted_recall: 0.2053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5544, f_measure: 0.1903, kappa: 0.0272, kb_relative_information_score: 0.0949, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, weighted_recall: 0.192, number_of_instances: 797, precision: 0.1949, predictive_accuracy: 0.192, prior_entropy: 2.5803, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0112, unweighted_recall: 0.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.1805, kappa: 0.0155, kb_relative_information_score: 0.0971, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1807, number_of_instances: 797, precision: 0.1848, predictive_accuracy: 0.1807, prior_entropy: 2.5803, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0183, unweighted_recall: 0.1816,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5648, f_measure: 0.1975, kappa: 0.0415, kb_relative_information_score: 0.0974, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2033, number_of_instances: 797, precision: 0.2057, predictive_accuracy: 0.2033, prior_entropy: 2.5803, relative_absolute_error: 0.9774, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.376, root_relative_squared_error: 1.0096, unweighted_recall: 0.2024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.1829, kappa: 0.0208, kb_relative_information_score: 0.0967, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1857, number_of_instances: 797, precision: 0.184, predictive_accuracy: 0.1857, prior_entropy: 2.5803, relative_absolute_error: 0.9794, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0071, unweighted_recall: 0.1862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.1964, kappa: 0.0385, kb_relative_information_score: 0.0951, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2008, number_of_instances: 797, precision: 0.2011, predictive_accuracy: 0.2008, prior_entropy: 2.5803, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3745, root_relative_squared_error: 1.0057, unweighted_recall: 0.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5505, f_measure: 0.167, kappa: -0.0022, kb_relative_information_score: 0.0939, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1669, number_of_instances: 797, precision: 0.17, predictive_accuracy: 0.1669, prior_entropy: 2.5803, relative_absolute_error: 0.9823, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.0175, unweighted_recall: 0.1672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.1935, kappa: 0.0288, kb_relative_information_score: 0.1162, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.192, number_of_instances: 797, precision: 0.2021, predictive_accuracy: 0.192, prior_entropy: 2.5803, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.4033, root_relative_squared_error: 1.083, unweighted_recall: 0.1924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5476, f_measure: 0.2062, kappa: 0.0504, kb_relative_information_score: 0.0881, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2095, number_of_instances: 797, precision: 0.2127, predictive_accuracy: 0.2095, prior_entropy: 2.5803, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3773, root_relative_squared_error: 1.0131, unweighted_recall: 0.2109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5376, f_measure: 0.2118, kappa: 0.0491, kb_relative_information_score: 0.117, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2095, number_of_instances: 797, precision: 0.225, predictive_accuracy: 0.2095, prior_entropy: 2.5803, relative_absolute_error: 0.9789, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0419, unweighted_recall: 0.2112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5537, f_measure: 0.1888, kappa: 0.0246, kb_relative_information_score: 0.0918, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1895, number_of_instances: 797, precision: 0.1906, predictive_accuracy: 0.1895, prior_entropy: 2.5803, relative_absolute_error: 0.9825, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3774, root_relative_squared_error: 1.0135, unweighted_recall: 0.1893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.1969, kappa: 0.0348, kb_relative_information_score: 0.0961, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1995, number_of_instances: 797, precision: 0.1996, predictive_accuracy: 0.1995, prior_entropy: 2.5803, relative_absolute_error: 0.9793, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3751, root_relative_squared_error: 1.0073, unweighted_recall: 0.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5406, f_measure: 0.1733, kappa: 0.006, kb_relative_information_score: 0.1033, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1731, number_of_instances: 797, precision: 0.1795, predictive_accuracy: 0.1731, prior_entropy: 2.5803, relative_absolute_error: 0.984, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3836, root_relative_squared_error: 1.03, unweighted_recall: 0.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.1798, kappa: 0.0135, kb_relative_information_score: 0.1119, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1794, number_of_instances: 797, precision: 0.1836, predictive_accuracy: 0.1794, prior_entropy: 2.5803, relative_absolute_error: 0.98, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3858, root_relative_squared_error: 1.036, unweighted_recall: 0.1801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.554, f_measure: 0.1789, kappa: 0.0218, kb_relative_information_score: 0.0856, mean_absolute_error: 0.2729, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1844, number_of_instances: 797, precision: 0.184, predictive_accuracy: 0.1844, prior_entropy: 2.5803, relative_absolute_error: 0.9836, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3753, root_relative_squared_error: 1.0077, unweighted_recall: 0.1876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.1807, kappa: 0.0172, kb_relative_information_score: 0.0924, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1832, number_of_instances: 797, precision: 0.1825, predictive_accuracy: 0.1832, prior_entropy: 2.5803, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.378, root_relative_squared_error: 1.015, unweighted_recall: 0.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5546, f_measure: 0.1973, kappa: 0.036, kb_relative_information_score: 0.0974, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1982, number_of_instances: 797, precision: 0.2007, predictive_accuracy: 0.1982, prior_entropy: 2.5803, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3776, root_relative_squared_error: 1.014, unweighted_recall: 0.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.1761, kappa: 0.0105, kb_relative_information_score: 0.1118, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1769, number_of_instances: 797, precision: 0.1816, predictive_accuracy: 0.1769, prior_entropy: 2.5803, relative_absolute_error: 0.9786, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3869, root_relative_squared_error: 1.0387, unweighted_recall: 0.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.2212, kappa: 0.0706, kb_relative_information_score: 0.0977, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2774, weighted_recall: 0.2284, number_of_instances: 797, precision: 0.2244, predictive_accuracy: 0.2284, prior_entropy: 2.5803, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3735, root_relative_squared_error: 1.0029, unweighted_recall: 0.2269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.1769, kappa: 0.0142, kb_relative_information_score: 0.0923, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2774, weighted_recall: 0.1807, number_of_instances: 797, precision: 0.1792, predictive_accuracy: 0.1807, prior_entropy: 2.5803, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.378, root_relative_squared_error: 1.0149, unweighted_recall: 0.1801,

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

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