OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 2075 Supervised Classification abalone 3870 runs submitted
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  • 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: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1277.9835, usercpu_time_millis: 640, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1261.0759, usercpu_time_millis: 710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1372.28, usercpu_time_millis: 630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1276.9641, usercpu_time_millis: 680, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1387.8445, usercpu_time_millis: 750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1359.8295, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 1.1651, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1, scimark_benchmark: 1264.7016, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.2146, kappa: 0.131, kb_relative_information_score: 754.7344, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2019, predictive_accuracy: 0.2394, prior_entropy: 3.6268, recall: 0.2394, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.229, root_relative_squared_error: 1.3034, scimark_benchmark: 1332.675, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1403.0091, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.2275, kappa: 0.1383, kb_relative_information_score: 1006.4021, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2205, predictive_accuracy: 0.2408, prior_entropy: 3.6268, recall: 0.2408, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.9803, scimark_benchmark: 1274.4646, usercpu_time_millis: 470, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1424.5895, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.2157, kappa: 0.1518, kb_relative_information_score: 1020.309, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1954, predictive_accuracy: 0.2545, prior_entropy: 3.6268, recall: 0.2545, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1787, root_relative_squared_error: 1.0169, scimark_benchmark: 1394.9281, usercpu_time_millis: 120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.1884, kappa: 0.1239, kb_relative_information_score: 229.5253, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1632, predictive_accuracy: 0.2452, prior_entropy: 3.6268, recall: 0.2452, relative_absolute_error: 1.0464, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1783, root_relative_squared_error: 1.0147, scimark_benchmark: 1333.1627, usercpu_time_millis: 2170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.1122, kappa: 0.0418, kb_relative_information_score: 185.0647, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0843, predictive_accuracy: 0.1889, prior_entropy: 3.6268, recall: 0.1889, relative_absolute_error: 1.0484, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1787, root_relative_squared_error: 1.0167, scimark_benchmark: 1720.8485, usercpu_time_millis: 28760, usercpu_time_millis_testing: 15890, usercpu_time_millis_training: 12870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.0823, kappa: 0.0275, kb_relative_information_score: 222.7409, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1699, predictive_accuracy: 0.1815, prior_entropy: 3.6268, recall: 0.1815, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.9952, scimark_benchmark: 1364.8712, usercpu_time_millis: 820, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.2266, kappa: 0.1531, kb_relative_information_score: 964.5997, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2169, predictive_accuracy: 0.261, prior_entropy: 3.6268, recall: 0.261, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.9647, scimark_benchmark: 1398.6521, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5465, f_measure: 0.1885, kappa: 0.0937, kb_relative_information_score: 575.8124, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1878, predictive_accuracy: 0.1894, prior_entropy: 3.6268, recall: 0.1894, relative_absolute_error: 0.906, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2355, root_relative_squared_error: 1.3403, scimark_benchmark: 1559.625, usercpu_time_millis: 1470, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.2111, kappa: 0.1192, kb_relative_information_score: 547.6038, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2081, predictive_accuracy: 0.2147, prior_entropy: 3.6268, recall: 0.2147, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.181, root_relative_squared_error: 1.0303, scimark_benchmark: 1429.2381, usercpu_time_millis: 2440, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 2210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6615, f_measure: 0.2155, kappa: 0.1245, kb_relative_information_score: 687.7508, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2112, predictive_accuracy: 0.2224, prior_entropy: 3.6268, recall: 0.2224, relative_absolute_error: 0.9497, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1841, root_relative_squared_error: 1.0474, scimark_benchmark: 1552.8777, usercpu_time_millis: 72200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 72160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.2125, kappa: 0.1468, kb_relative_information_score: 968.6296, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2037, predictive_accuracy: 0.2471, prior_entropy: 3.6268, recall: 0.2471, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.18, root_relative_squared_error: 1.0245, scimark_benchmark: 1469.2136, usercpu_time_millis: 650, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.1939, kappa: 0.1035, kb_relative_information_score: 654.4457, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1822, predictive_accuracy: 0.2138, prior_entropy: 3.6268, recall: 0.2138, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.3251, scimark_benchmark: 1370.174, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.1963, kappa: 0.1033, kb_relative_information_score: 605.9855, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1971, predictive_accuracy: 0.1958, prior_entropy: 3.6268, recall: 0.1958, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2354, root_relative_squared_error: 1.3397, scimark_benchmark: 1492.0773, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.237, kappa: 0.153, kb_relative_information_score: 975.6353, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2322, predictive_accuracy: 0.2571, prior_entropy: 3.6268, recall: 0.2571, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9897, scimark_benchmark: 1401.0794, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.1333, kappa: 0.0931, kb_relative_information_score: 574.0211, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1295, predictive_accuracy: 0.2181, prior_entropy: 3.6268, recall: 0.2181, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.981, scimark_benchmark: 1441.5523, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6158, f_measure: 0.1904, kappa: 0.0957, kb_relative_information_score: 829.9214, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1892, predictive_accuracy: 0.1918, prior_entropy: 3.6268, recall: 0.1918, relative_absolute_error: 0.9003, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2009, root_relative_squared_error: 1.1431, scimark_benchmark: 1340.6083, usercpu_time_millis: 8590, usercpu_time_millis_testing: 8560, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.218, kappa: 0.1262, kb_relative_information_score: 981.7685, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2127, predictive_accuracy: 0.2258, prior_entropy: 3.6268, recall: 0.2258, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1779, root_relative_squared_error: 1.0126, scimark_benchmark: 1403.4429, usercpu_time_millis: 1910, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.2167, kappa: 0.1291, kb_relative_information_score: 658.9792, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2268, predictive_accuracy: 0.2418, prior_entropy: 3.6268, recall: 0.2418, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.171, root_relative_squared_error: 0.973, scimark_benchmark: 1502.1708, usercpu_time_millis: 18640, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 18500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.2149, kappa: 0.1227, kb_relative_information_score: 952.558, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2103, predictive_accuracy: 0.2222, prior_entropy: 3.6268, recall: 0.2222, relative_absolute_error: 0.9082, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.998, scimark_benchmark: 1385.9643, usercpu_time_millis: 372480, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 372150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.1323, kappa: 0.0974, kb_relative_information_score: 670.8715, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1134, predictive_accuracy: 0.2212, prior_entropy: 3.6268, recall: 0.2212, relative_absolute_error: 0.9547, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.9755, scimark_benchmark: 1515.6502, usercpu_time_millis: 256440, usercpu_time_millis_testing: 256410, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7165, f_measure: 0.208, kappa: 0.1431, kb_relative_information_score: 969.1016, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1908, predictive_accuracy: 0.2437, prior_entropy: 3.6268, recall: 0.2437, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1796, root_relative_squared_error: 1.0219, scimark_benchmark: 1403.0177, usercpu_time_millis: 2800, usercpu_time_millis_testing: 2730, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.2082, kappa: 0.126, kb_relative_information_score: 958.8043, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2013, predictive_accuracy: 0.2375, prior_entropy: 3.6268, recall: 0.2375, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1879, root_relative_squared_error: 1.0695, scimark_benchmark: 1356.9731, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
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: 1277.0456, usercpu_time_millis: 320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.2125, kappa: 0.1468, kb_relative_information_score: 968.6296, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2037, predictive_accuracy: 0.2471, prior_entropy: 3.6268, recall: 0.2471, relative_absolute_error: 0.9009, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.18, root_relative_squared_error: 1.0245, scimark_benchmark: 1428.4599, usercpu_time_millis: 400, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.2282, kappa: 0.1453, kb_relative_information_score: 972.9102, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2207, predictive_accuracy: 0.2511, prior_entropy: 3.6268, recall: 0.2511, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.9653, scimark_benchmark: 1433.477, usercpu_time_millis: 42680, usercpu_time_millis_testing: 42640, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.1284, kappa: 0.0955, kb_relative_information_score: 663.7691, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1063, predictive_accuracy: 0.2195, prior_entropy: 3.6268, recall: 0.2195, relative_absolute_error: 0.9557, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.9773, scimark_benchmark: 1512.7389, usercpu_time_millis: 29670, usercpu_time_millis_testing: 29650, usercpu_time_millis_training: 20,
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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: 1348.4995, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.2018, kappa: 0.134, kb_relative_information_score: 896.8882, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1922, predictive_accuracy: 0.2329, prior_entropy: 3.6268, recall: 0.2329, relative_absolute_error: 0.9033, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1882, root_relative_squared_error: 1.071, scimark_benchmark: 1350.5962, usercpu_time_millis: 1110, usercpu_time_millis_testing: 480, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.223, kappa: 0.1484, kb_relative_information_score: 936.8102, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2125, predictive_accuracy: 0.2574, prior_entropy: 3.6268, recall: 0.2574, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9613, scimark_benchmark: 1236.0498, usercpu_time_millis: 2500, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.2405, kappa: 0.1609, kb_relative_information_score: 1018.9486, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2407, predictive_accuracy: 0.2674, prior_entropy: 3.6268, recall: 0.2674, relative_absolute_error: 0.9127, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.9553, scimark_benchmark: 1524.9245, usercpu_time_millis: 38970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 38940,
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: 1274.4533, usercpu_time_millis: 4590, usercpu_time_millis_testing: 3320, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.2007, kappa: 0.1085, kb_relative_information_score: 636.1134, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2003, predictive_accuracy: 0.2013, prior_entropy: 3.6268, recall: 0.2013, relative_absolute_error: 0.891, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2345, root_relative_squared_error: 1.3343, scimark_benchmark: 1296.8434, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
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: 1357.4177, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.2391, kappa: 0.1597, kb_relative_information_score: 1001.3372, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2246, predictive_accuracy: 0.2669, prior_entropy: 3.6268, recall: 0.2669, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.168, root_relative_squared_error: 0.956, scimark_benchmark: 1360.5904, usercpu_time_millis: 11800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 11770,
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: 1388.5778, usercpu_time_millis: 37220, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 37190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7164, f_measure: 0.2176, kappa: 0.1538, kb_relative_information_score: 1021.4959, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1972, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1787, root_relative_squared_error: 1.017, scimark_benchmark: 1366.0251, usercpu_time_millis: 2640, usercpu_time_millis_testing: 2070, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.1788, kappa: 0.0829, kb_relative_information_score: 536.4025, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1791, predictive_accuracy: 0.1786, prior_entropy: 3.6268, recall: 0.1786, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2379, root_relative_squared_error: 1.354, scimark_benchmark: 1352.9215, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5945, f_measure: 0.2098, kappa: 0.1177, kb_relative_information_score: 829.4896, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.205, predictive_accuracy: 0.2162, prior_entropy: 3.6268, recall: 0.2162, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2045, root_relative_squared_error: 1.1635, scimark_benchmark: 1394.4547, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
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: 1380.7964, usercpu_time_millis: 8300, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.2235, kappa: 0.1467, kb_relative_information_score: 699.1778, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2171, predictive_accuracy: 0.2564, prior_entropy: 3.6268, recall: 0.2564, relative_absolute_error: 0.9565, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9701, scimark_benchmark: 1255.4945, usercpu_time_millis: 590, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.0823, kappa: 0.0275, kb_relative_information_score: 222.7409, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1699, predictive_accuracy: 0.1815, prior_entropy: 3.6268, recall: 0.1815, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.9952, scimark_benchmark: 1639.1278, usercpu_time_millis: 800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.1939, kappa: 0.1035, kb_relative_information_score: 654.4457, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1822, predictive_accuracy: 0.2138, prior_entropy: 3.6268, recall: 0.2138, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2329, root_relative_squared_error: 1.3251, scimark_benchmark: 1338.0241, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.2194, kappa: 0.1283, kb_relative_information_score: 778.6521, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2143, predictive_accuracy: 0.2265, prior_entropy: 3.6268, recall: 0.2265, relative_absolute_error: 0.9075, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1938, root_relative_squared_error: 1.1029, scimark_benchmark: 1313.0666, usercpu_time_millis: 2430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 2220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5518, f_measure: 0.1963, kappa: 0.1033, kb_relative_information_score: 605.9855, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1971, predictive_accuracy: 0.1958, prior_entropy: 3.6268, recall: 0.1958, relative_absolute_error: 0.8975, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2354, root_relative_squared_error: 1.3397, scimark_benchmark: 1513.7108, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.237, kappa: 0.153, kb_relative_information_score: 975.6353, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2322, predictive_accuracy: 0.2571, prior_entropy: 3.6268, recall: 0.2571, relative_absolute_error: 0.9078, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.9897, scimark_benchmark: 1333.0825, usercpu_time_millis: 100, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 1.1651, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0272, predictive_accuracy: 0.165, prior_entropy: 3.6268, recall: 0.165, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1757, root_relative_squared_error: 1, scimark_benchmark: 1397.4439, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.2081, kappa: 0.1229, kb_relative_information_score: 725.2061, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1993, predictive_accuracy: 0.2344, prior_entropy: 3.6268, recall: 0.2344, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2298, root_relative_squared_error: 1.3077, scimark_benchmark: 1492.9051, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.2075, kappa: 0.1494, kb_relative_information_score: 993.6208, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1917, predictive_accuracy: 0.2502, prior_entropy: 3.6268, recall: 0.2502, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1855, root_relative_squared_error: 1.0557, scimark_benchmark: 1309.5886, usercpu_time_millis: 130, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.2292, kappa: 0.1525, kb_relative_information_score: 1003.5409, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2182, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.965, scimark_benchmark: 1352.6397, usercpu_time_millis: 60, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 20,
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: 1319.9884, usercpu_time_millis: 2160, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.1333, kappa: 0.0931, kb_relative_information_score: 574.0211, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1295, predictive_accuracy: 0.2181, prior_entropy: 3.6268, recall: 0.2181, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.981, scimark_benchmark: 1958.7319, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.2094, kappa: 0.1174, kb_relative_information_score: 881.1037, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2076, predictive_accuracy: 0.2116, prior_entropy: 3.6268, recall: 0.2116, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1999, root_relative_squared_error: 1.1374, scimark_benchmark: 1371.1787, usercpu_time_millis: 9700, usercpu_time_millis_testing: 9680, usercpu_time_millis_training: 20,
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: 1384.0308, usercpu_time_millis: 1950, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.2288, kappa: 0.1382, kb_relative_information_score: 744.3489, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2363, predictive_accuracy: 0.2461, prior_entropy: 3.6268, recall: 0.2461, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.9703, scimark_benchmark: 1380.8888, usercpu_time_millis: 38010, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 37820,
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: 1507.3733, usercpu_time_millis: 2850, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 2760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.1213, kappa: 0.0512, kb_relative_information_score: 188.2776, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0881, predictive_accuracy: 0.1949, prior_entropy: 3.6268, recall: 0.1949, relative_absolute_error: 1.0483, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1786, root_relative_squared_error: 1.0165, scimark_benchmark: 1379.6354, usercpu_time_millis: 45950, usercpu_time_millis_testing: 27260, usercpu_time_millis_training: 18690,
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: 1787.3368, usercpu_time_millis: 330, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.1412, kappa: 0.0949, kb_relative_information_score: 576.712, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1248, predictive_accuracy: 0.22, prior_entropy: 3.6268, recall: 0.22, relative_absolute_error: 0.9633, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.9796, scimark_benchmark: 1347.7603, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,

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