OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 2075 Supervised Classification abalone 3870 runs submitted
0 likes downloaded by 2 people , 7 total downloads 0 issues
Visibility: Public
  • at2 study_1 study_107 study_14 study_41 study_7 study_70 under100k under1m
Issue #Downvotes for this reason By


Metric:

3870 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.2083, kappa: 0.1503, kb_relative_information_score: 993.7283, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1917, predictive_accuracy: 0.2511, prior_entropy: 3.6268, recall: 0.2511, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1857, root_relative_squared_error: 1.0569, scimark_benchmark: 927.4915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.235, kappa: 0.1598, kb_relative_information_score: 931.1331, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2353, predictive_accuracy: 0.2653, prior_entropy: 3.6268, recall: 0.2653, relative_absolute_error: 0.9193, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.966, scimark_benchmark: 943.6262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 932.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.2428, kappa: 0.1591, kb_relative_information_score: 1041.6045, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2369, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.9663, scimark_benchmark: 944.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 936.2458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.2032, kappa: 0.1103, kb_relative_information_score: 636.1005, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2022, predictive_accuracy: 0.2045, prior_entropy: 3.6268, recall: 0.2045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2333, root_relative_squared_error: 1.3279, scimark_benchmark: 913.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.233, kappa: 0.1452, kb_relative_information_score: 1063.9796, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2255, predictive_accuracy: 0.2466, prior_entropy: 3.6268, recall: 0.2466, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.9688, scimark_benchmark: 919.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 935.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.1944, kappa: 0.1304, kb_relative_information_score: 234.6838, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1685, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0457, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 929.4503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 920.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.2347, kappa: 0.1498, kb_relative_information_score: 1076.1025, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2295, predictive_accuracy: 0.2535, prior_entropy: 3.6268, recall: 0.2535, relative_absolute_error: 0.892, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.9905, scimark_benchmark: 933.3361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 939.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 946.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.233, kappa: 0.1452, kb_relative_information_score: 1063.9796, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2255, predictive_accuracy: 0.2466, prior_entropy: 3.6268, recall: 0.2466, relative_absolute_error: 0.898, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.9688, scimark_benchmark: 926.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.2243, kappa: 0.1478, kb_relative_information_score: 937.9674, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2215, predictive_accuracy: 0.2554, prior_entropy: 3.6268, recall: 0.2554, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.9635, scimark_benchmark: 900.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.2354, kappa: 0.1562, kb_relative_information_score: 936.1865, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.223, predictive_accuracy: 0.2655, prior_entropy: 3.6268, recall: 0.2655, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.959, scimark_benchmark: 945.2546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.1282, kappa: 0.0977, kb_relative_information_score: 654.7359, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1137, predictive_accuracy: 0.2219, prior_entropy: 3.6268, recall: 0.2219, relative_absolute_error: 0.9569, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.1999, kappa: 0.1072, kb_relative_information_score: 768.4188, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2047, prior_entropy: 3.6268, recall: 0.2047, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2119, root_relative_squared_error: 1.2058, scimark_benchmark: 928.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 945.7565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.2032, kappa: 0.1103, kb_relative_information_score: 636.1005, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2022, predictive_accuracy: 0.2045, prior_entropy: 3.6268, recall: 0.2045, relative_absolute_error: 0.8894, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2333, root_relative_squared_error: 1.3279, scimark_benchmark: 945.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.2339, kappa: 0.1451, kb_relative_information_score: 185.2084, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1788, root_relative_squared_error: 1.0174, scimark_benchmark: 947.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.2188, kappa: 0.149, kb_relative_information_score: 903.6693, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2058, predictive_accuracy: 0.2593, prior_entropy: 3.6268, recall: 0.2593, relative_absolute_error: 0.9201, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.9628, scimark_benchmark: 925.2332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.2257, kappa: 0.1506, kb_relative_information_score: 576.2649, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2062, predictive_accuracy: 0.2643, prior_entropy: 3.6268, recall: 0.2643, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.9711, scimark_benchmark: 894.2932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7087, f_measure: 0.2048, kappa: 0.1388, kb_relative_information_score: 904.721, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1868, predictive_accuracy: 0.2375, prior_entropy: 3.6268, recall: 0.2375, relative_absolute_error: 0.9061, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1869, root_relative_squared_error: 1.0639, scimark_benchmark: 948.0082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.2613, kappa: 0.1811, kb_relative_information_score: 1112.0759, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.26, predictive_accuracy: 0.2815, prior_entropy: 3.6268, recall: 0.2815, relative_absolute_error: 0.8933, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.9521, scimark_benchmark: 935.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6174, f_measure: 0.2071, kappa: 0.1212, kb_relative_information_score: 986.8453, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2029, predictive_accuracy: 0.2241, prior_entropy: 3.6268, recall: 0.2241, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1912, root_relative_squared_error: 1.0878, scimark_benchmark: 942.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.0877, kappa: 0.0778, kb_relative_information_score: 578.2535, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0557, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 928.7462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.2129, kappa: 0.1435, kb_relative_information_score: 930.617, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.204, predictive_accuracy: 0.243, prior_entropy: 3.6268, recall: 0.243, relative_absolute_error: 0.8921, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1859, root_relative_squared_error: 1.0579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5738, f_measure: 0.2296, kappa: 0.151, kb_relative_information_score: 824.4791, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2221, predictive_accuracy: 0.2576, prior_entropy: 3.6268, recall: 0.2576, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2263, root_relative_squared_error: 1.2877, scimark_benchmark: 943.6281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.2214, kappa: 0.1291, kb_relative_information_score: 793.5787, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2262, prior_entropy: 3.6268, recall: 0.2262, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.2456, scimark_benchmark: 947.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.2503, kappa: 0.1768, kb_relative_information_score: 1082.0444, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2551, predictive_accuracy: 0.2715, prior_entropy: 3.6268, recall: 0.2715, relative_absolute_error: 0.9006, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.9601, scimark_benchmark: 946.4113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.2124, kappa: 0.1224, kb_relative_information_score: 237.0119, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2086, predictive_accuracy: 0.2176, prior_entropy: 3.6268, recall: 0.2176, relative_absolute_error: 1.0477, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1785, root_relative_squared_error: 1.0159, scimark_benchmark: 947.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, f_measure: 0.1309, kappa: 0.0883, kb_relative_information_score: 574.5082, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1446, predictive_accuracy: 0.2152, prior_entropy: 3.6268, recall: 0.2152, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.981, scimark_benchmark: 945.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.2086, kappa: 0.1275, kb_relative_information_score: 226.9726, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2078, predictive_accuracy: 0.2497, prior_entropy: 3.6268, recall: 0.2497, relative_absolute_error: 1.0465, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.2345, kappa: 0.1613, kb_relative_information_score: 725.1297, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2127, predictive_accuracy: 0.271, prior_entropy: 3.6268, recall: 0.271, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.9648, scimark_benchmark: 926.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 932.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.2343, kappa: 0.1455, kb_relative_information_score: 242.6278, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2293, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0387, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1798, root_relative_squared_error: 1.0233, scimark_benchmark: 947.2605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5839, f_measure: 0.2005, kappa: 0.1081, kb_relative_information_score: 767.4053, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1967, predictive_accuracy: 0.2054, prior_entropy: 3.6268, recall: 0.2054, relative_absolute_error: 0.8995, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2128, root_relative_squared_error: 1.2109, scimark_benchmark: 910.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.23, kappa: 0.144, kb_relative_information_score: 1012.316, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2287, predictive_accuracy: 0.2471, prior_entropy: 3.6268, recall: 0.2471, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9898, scimark_benchmark: 929.1231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.1036, kappa: 0.0523, kb_relative_information_score: 161.8525, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0912, predictive_accuracy: 0.1999, prior_entropy: 3.6268, recall: 0.1999, relative_absolute_error: 1.0488, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1787, root_relative_squared_error: 1.017, scimark_benchmark: 947.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.2379, kappa: 0.15, kb_relative_information_score: 1064.4444, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2323, predictive_accuracy: 0.2487, prior_entropy: 3.6268, recall: 0.2487, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.9725, scimark_benchmark: 946.6037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.1956, kappa: 0.1309, kb_relative_information_score: 231.9285, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1683, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0463, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0146, scimark_benchmark: 577.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.0926, kappa: 0.078, kb_relative_information_score: 575.4173, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0926, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.9809, scimark_benchmark: 944.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.2379, kappa: 0.15, kb_relative_information_score: 1064.4444, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2323, predictive_accuracy: 0.2487, prior_entropy: 3.6268, recall: 0.2487, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.9725, scimark_benchmark: 946.8849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.193, kappa: 0.1008, kb_relative_information_score: 632.4768, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1829, predictive_accuracy: 0.2128, prior_entropy: 3.6268, recall: 0.2128, relative_absolute_error: 0.8786, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3259, scimark_benchmark: 940.0495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5784, f_measure: 0.2356, kappa: 0.1602, kb_relative_information_score: 855.0675, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.218, predictive_accuracy: 0.2667, prior_entropy: 3.6268, recall: 0.2667, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2249, root_relative_squared_error: 1.2798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.2473, kappa: 0.1624, kb_relative_information_score: 1103.3894, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2441, predictive_accuracy: 0.2633, prior_entropy: 3.6268, recall: 0.2633, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.9543, scimark_benchmark: 946.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 942.1253,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.0995, kappa: 0.0379, kb_relative_information_score: 252.3446, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.1896, prior_entropy: 3.6268, recall: 0.1896, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.9947, scimark_benchmark: 938.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7604, f_measure: 0.2415, kappa: 0.1676, kb_relative_information_score: 957.5466, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2265, predictive_accuracy: 0.2768, prior_entropy: 3.6268, recall: 0.2768, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.168, root_relative_squared_error: 0.9559, scimark_benchmark: 950.4959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2364, kappa: 0.1598, kb_relative_information_score: 867.5293, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2174, predictive_accuracy: 0.2693, prior_entropy: 3.6268, recall: 0.2693, relative_absolute_error: 0.9289, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.9573, scimark_benchmark: 873.1487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, f_measure: 0.2214, kappa: 0.1291, kb_relative_information_score: 793.5787, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2262, prior_entropy: 3.6268, recall: 0.2262, relative_absolute_error: 0.8647, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2189, root_relative_squared_error: 1.2456, scimark_benchmark: 942.3554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.2429, kappa: 0.1646, kb_relative_information_score: 993.4626, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2287, predictive_accuracy: 0.2703, prior_entropy: 3.6268, recall: 0.2703, relative_absolute_error: 0.9134, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9591, scimark_benchmark: 941.3302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.2257, kappa: 0.1506, kb_relative_information_score: 576.2649, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2062, predictive_accuracy: 0.2643, prior_entropy: 3.6268, recall: 0.2643, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.9711, scimark_benchmark: 926.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.2317, kappa: 0.143, kb_relative_information_score: 108.0998, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2254, predictive_accuracy: 0.2452, prior_entropy: 3.6268, recall: 0.2452, relative_absolute_error: 1.0692, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1811, root_relative_squared_error: 1.0305, scimark_benchmark: 930.7407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.2147, kappa: 0.1405, kb_relative_information_score: 818.0973, mean_absolute_error: 0.0578, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2039, predictive_accuracy: 0.2547, prior_entropy: 3.6268, recall: 0.2547, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.9665, scimark_benchmark: 944.2606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.2425, kappa: 0.1568, kb_relative_information_score: 1056.033, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2345, predictive_accuracy: 0.2571, prior_entropy: 3.6268, recall: 0.2571, relative_absolute_error: 0.9001, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.9714, scimark_benchmark: 944.6774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.2113, kappa: 0.1282, kb_relative_information_score: 227.7653, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2098, predictive_accuracy: 0.2499, prior_entropy: 3.6268, recall: 0.2499, relative_absolute_error: 1.0465, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0148, scimark_benchmark: 945.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.2434, kappa: 0.1579, kb_relative_information_score: 1024.0787, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.9889, scimark_benchmark: 947.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5602, f_measure: 0.2124, kappa: 0.121, kb_relative_information_score: 677.3953, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2124, predictive_accuracy: 0.2126, prior_entropy: 3.6268, recall: 0.2126, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.233, root_relative_squared_error: 1.3258, scimark_benchmark: 945.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.2316, kappa: 0.1424, kb_relative_information_score: 174.998, mean_absolute_error: 0.0652, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2267, predictive_accuracy: 0.2452, prior_entropy: 3.6268, recall: 0.2452, relative_absolute_error: 1.0549, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.179, root_relative_squared_error: 1.0187, scimark_benchmark: 946.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.2488, kappa: 0.165, kb_relative_information_score: 235.9433, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2518, predictive_accuracy: 0.2732, prior_entropy: 3.6268, recall: 0.2732, relative_absolute_error: 1.0462, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0145, scimark_benchmark: 939.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.2339, kappa: 0.1451, kb_relative_information_score: 185.2084, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1788, root_relative_squared_error: 1.0174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.2283, kappa: 0.1446, kb_relative_information_score: 979.8899, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2203, predictive_accuracy: 0.2504, prior_entropy: 3.6268, recall: 0.2504, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.2406, kappa: 0.1611, kb_relative_information_score: 1017.1821, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2408, predictive_accuracy: 0.2677, prior_entropy: 3.6268, recall: 0.2677, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.9553, scimark_benchmark: 945.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.1964, kappa: 0.1308, kb_relative_information_score: 236.204, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1782, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 1.0456, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0141, scimark_benchmark: 943.6321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.1628, kappa: 0.0978, kb_relative_information_score: 208.7505, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1549, predictive_accuracy: 0.2272, prior_entropy: 3.6268, recall: 0.2272, relative_absolute_error: 1.0472, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1784, root_relative_squared_error: 1.0155, scimark_benchmark: 938.1828,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Required output files not present (e.g., arff predictions).

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

OpenML bootcamp

From your own software

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

OpenML APIs