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OpenML
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
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3870 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.2197, kappa: 0.129, kb_relative_information_score: 980.0711, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2137, predictive_accuracy: 0.2289, prior_entropy: 3.6268, recall: 0.2289, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1807, root_relative_squared_error: 1.0285, scimark_benchmark: 940.5387,
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: 901.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.1181, kappa: 0.0807, kb_relative_information_score: 584.0269, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0851, predictive_accuracy: 0.2109, prior_entropy: 3.6268, recall: 0.2109, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.982, scimark_benchmark: 916.6898,
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, scimark_benchmark: 926.3575,
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: 0.7073, f_measure: 0.2274, kappa: 0.1375, kb_relative_information_score: 1051.535, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2221, predictive_accuracy: 0.2353, prior_entropy: 3.6268, recall: 0.2353, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.9997, scimark_benchmark: 902.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.2233, kappa: 0.1368, kb_relative_information_score: 1043.2135, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2154, predictive_accuracy: 0.2396, prior_entropy: 3.6268, recall: 0.2396, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1791, root_relative_squared_error: 1.0194, scimark_benchmark: 944.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.2384, kappa: 0.1604, kb_relative_information_score: 244.6209, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2618, predictive_accuracy: 0.2729, prior_entropy: 3.6268, recall: 0.2729, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0141,
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: 0.7157, f_measure: 0.2198, kappa: 0.1352, kb_relative_information_score: 229.7713, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2145, predictive_accuracy: 0.2552, prior_entropy: 3.6268, recall: 0.2552, relative_absolute_error: 1.0464, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.2508, kappa: 0.1693, kb_relative_information_score: 239.4252, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.256, predictive_accuracy: 0.2787, prior_entropy: 3.6268, recall: 0.2787, relative_absolute_error: 1.046, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0142, scimark_benchmark: 922.3864,
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: 943.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.2197, kappa: 0.1298, kb_relative_information_score: 1038.75, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.215, predictive_accuracy: 0.2303, prior_entropy: 3.6268, recall: 0.2303, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0141, scimark_benchmark: 918.2806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.228, kappa: 0.1373, kb_relative_information_score: 733.4973, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2251, predictive_accuracy: 0.2337, prior_entropy: 3.6268, recall: 0.2337, relative_absolute_error: 0.9469, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1832, root_relative_squared_error: 1.0428, scimark_benchmark: 934.1293,
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: 918.7868,
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, scimark_benchmark: 925.9471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.1977, kappa: 0.1334, kb_relative_information_score: 236.1695, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1714, predictive_accuracy: 0.2528, prior_entropy: 3.6268, recall: 0.2528, 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: 942.5579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.2457, kappa: 0.1589, kb_relative_information_score: 776.7968, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2623, predictive_accuracy: 0.2674, prior_entropy: 3.6268, recall: 0.2674, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.9621, scimark_benchmark: 942.0709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 942.782,
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: 944.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.2197, kappa: 0.1298, kb_relative_information_score: 1038.75, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.215, predictive_accuracy: 0.2303, prior_entropy: 3.6268, recall: 0.2303, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0141, scimark_benchmark: 927.6696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7483, f_measure: 0.2394, kappa: 0.1624, kb_relative_information_score: 995.6076, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.237, predictive_accuracy: 0.2653, prior_entropy: 3.6268, recall: 0.2653, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9611, scimark_benchmark: 931.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.111, kappa: 0.0807, kb_relative_information_score: 574.2162, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1376, predictive_accuracy: 0.2124, prior_entropy: 3.6268, recall: 0.2124, 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: 923.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, f_measure: 0.2229, kappa: 0.1323, kb_relative_information_score: 849.5804, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2196, predictive_accuracy: 0.227, prior_entropy: 3.6268, recall: 0.227, relative_absolute_error: 0.8843, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2085, root_relative_squared_error: 1.1865, scimark_benchmark: 941.568,
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: 0.7446, f_measure: 0.2283, kappa: 0.1479, kb_relative_information_score: 244.7268, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2167, predictive_accuracy: 0.2638, prior_entropy: 3.6268, recall: 0.2638, relative_absolute_error: 1.0458, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.014, scimark_benchmark: 913.9465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.2358, kappa: 0.1564, kb_relative_information_score: 236.7097, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2349, predictive_accuracy: 0.2712, prior_entropy: 3.6268, recall: 0.2712, relative_absolute_error: 1.0461, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1782, root_relative_squared_error: 1.0144, scimark_benchmark: 938.0105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.2522, kappa: 0.1749, kb_relative_information_score: 1092.9547, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2529, predictive_accuracy: 0.2715, prior_entropy: 3.6268, recall: 0.2715, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.9573, scimark_benchmark: 947.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 936.6058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.2389, kappa: 0.1573, kb_relative_information_score: 954.5105, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2353, predictive_accuracy: 0.2578, prior_entropy: 3.6268, recall: 0.2578, relative_absolute_error: 0.907, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.177, root_relative_squared_error: 1.0071, scimark_benchmark: 940.7366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.2341, kappa: 0.1489, kb_relative_information_score: 1036.8887, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2273, predictive_accuracy: 0.2495, prior_entropy: 3.6268, recall: 0.2495, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.173, root_relative_squared_error: 0.9848, scimark_benchmark: 940.8581,
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: 933.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5808, f_measure: 0.2252, kappa: 0.1352, kb_relative_information_score: 755.913, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2187, predictive_accuracy: 0.2373, prior_entropy: 3.6268, recall: 0.2373, relative_absolute_error: 0.8518, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2282, root_relative_squared_error: 1.2987, scimark_benchmark: 947.3592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.2035, kappa: 0.1358, kb_relative_information_score: 893.5299, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1961, predictive_accuracy: 0.2349, prior_entropy: 3.6268, recall: 0.2349, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0707, scimark_benchmark: 932.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.2105, kappa: 0.1256, kb_relative_information_score: 921.7742, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1988, predictive_accuracy: 0.2387, prior_entropy: 3.6268, recall: 0.2387, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1868, root_relative_squared_error: 1.0631, scimark_benchmark: 946.5756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.2305, kappa: 0.1549, kb_relative_information_score: 999.6883, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2217, predictive_accuracy: 0.2593, prior_entropy: 3.6268, recall: 0.2593, relative_absolute_error: 0.9145, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9588, scimark_benchmark: 932.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.2522, kappa: 0.1749, kb_relative_information_score: 1092.9547, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2529, predictive_accuracy: 0.2715, prior_entropy: 3.6268, recall: 0.2715, relative_absolute_error: 0.9011, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.9573, scimark_benchmark: 943.9307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5876, f_measure: 0.2012, kappa: 0.1085, kb_relative_information_score: 774.8177, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1972, predictive_accuracy: 0.2061, prior_entropy: 3.6268, recall: 0.2061, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2114, root_relative_squared_error: 1.2028, scimark_benchmark: 922.953,
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: 941.0294,
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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,

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