OpenML
Supervised Classification on abalone

Supervised Classification on abalone

Task 2940 Supervised Classification abalone 177 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.2405, kappa: 0.1538, kb_relative_information_score: 10209.6571, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2362, predictive_accuracy: 0.2516, prior_entropy: 3.6268, recall: 0.2516, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9777, scimark_benchmark: 1342.1678, usercpu_time_millis: 31160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 31140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.2271, kappa: 0.1522, kb_relative_information_score: 9372.6889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2171, predictive_accuracy: 0.2599, prior_entropy: 3.6268, recall: 0.2599, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9613, scimark_benchmark: 909.1698, usercpu_time_millis: 3280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7597, f_measure: 0.2417, kappa: 0.1548, kb_relative_information_score: 10845.4761, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2352, predictive_accuracy: 0.2557, prior_entropy: 3.6268, recall: 0.2557, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.9604, scimark_benchmark: 1323.7742, usercpu_time_millis: 8810, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 7780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.2202, kappa: 0.1292, kb_relative_information_score: 9336.5792, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2166, predictive_accuracy: 0.225, prior_entropy: 3.6268, recall: 0.225, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2012, root_relative_squared_error: 1.145, scimark_benchmark: 1358.4523, usercpu_time_millis: 15450, usercpu_time_millis_testing: 4850, usercpu_time_millis_training: 10600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.2271, kappa: 0.1522, kb_relative_information_score: 9372.6889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2171, predictive_accuracy: 0.2599, prior_entropy: 3.6268, recall: 0.2599, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9613, scimark_benchmark: 906.4475, usercpu_time_millis: 4940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7728, f_measure: 0.2498, kappa: 0.1697, kb_relative_information_score: 10945.8539, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2395, predictive_accuracy: 0.2711, prior_entropy: 3.6268, recall: 0.2711, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.9568, scimark_benchmark: 1368.9272, usercpu_time_millis: 5961200, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 5960860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.2393, kappa: 0.1617, kb_relative_information_score: 9939.8015, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2363, predictive_accuracy: 0.2693, prior_entropy: 3.6268, recall: 0.2693, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.9532, scimark_benchmark: 1325.3444, usercpu_time_millis: 6550, usercpu_time_millis_testing: 1340, usercpu_time_millis_training: 5210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.233, kappa: 0.1514, kb_relative_information_score: 10043.1621, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2259, predictive_accuracy: 0.2571, prior_entropy: 3.6268, recall: 0.2571, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.966, scimark_benchmark: 1341.4232, usercpu_time_millis: 280, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.244, kappa: 0.1639, kb_relative_information_score: 10369.3374, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2351, predictive_accuracy: 0.2689, prior_entropy: 3.6268, recall: 0.2689, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.168, root_relative_squared_error: 0.9563, scimark_benchmark: 1320.9387, usercpu_time_millis: 45920, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 45880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.1292, kappa: 0.1007, kb_relative_information_score: 6550.2427, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1155, predictive_accuracy: 0.2244, prior_entropy: 3.6268, recall: 0.2244, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9779, scimark_benchmark: 1310.6407, usercpu_time_millis: 70700, usercpu_time_millis_testing: 70700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.2259, kappa: 0.1444, kb_relative_information_score: 9493.2443, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2179, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.9834, scimark_benchmark: 1346.4887, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.2003, kappa: 0.1069, kb_relative_information_score: 6257.1094, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1993, predictive_accuracy: 0.2015, prior_entropy: 3.6268, recall: 0.2015, relative_absolute_error: 0.8926, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2338, root_relative_squared_error: 1.3303, scimark_benchmark: 1349.9741, usercpu_time_millis: 780, usercpu_time_millis_testing: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.2003, kappa: 0.1069, kb_relative_information_score: 6278.4462, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1993, predictive_accuracy: 0.2015, prior_entropy: 3.6268, recall: 0.2015, relative_absolute_error: 0.8912, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2347, root_relative_squared_error: 1.3354, scimark_benchmark: 923.6051, usercpu_time_millis: 3510, usercpu_time_millis_testing: 3510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 11.5552, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, 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: 1340.9497, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.2498, kappa: 0.1697, kb_relative_information_score: 10944.6924, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2395, predictive_accuracy: 0.2711, prior_entropy: 3.6268, recall: 0.2711, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.9569, scimark_benchmark: 925.4974, usercpu_time_millis: 4988770, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 4988580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5632, f_measure: 0.1017, kappa: 0.0385, kb_relative_information_score: 2625.9314, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2276, predictive_accuracy: 0.1895, prior_entropy: 3.6268, recall: 0.1895, relative_absolute_error: 0.9743, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.9953, scimark_benchmark: 1248.0234, usercpu_time_millis: 1310, usercpu_time_millis_training: 1310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.2406, kappa: 0.1628, kb_relative_information_score: 9940.8653, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2385, predictive_accuracy: 0.27, prior_entropy: 3.6268, recall: 0.27, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.9535, scimark_benchmark: 1358.4523, usercpu_time_millis: 2800, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 2430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7569, f_measure: 0.2453, kappa: 0.1612, kb_relative_information_score: 10359.5029, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2403, predictive_accuracy: 0.2602, prior_entropy: 3.6268, recall: 0.2602, relative_absolute_error: 0.8967, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.9671, scimark_benchmark: 1335.5424, usercpu_time_millis: 13600, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.1763, kappa: 0.1102, kb_relative_information_score: 6568.4808, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1585, predictive_accuracy: 0.2358, prior_entropy: 3.6268, recall: 0.2358, relative_absolute_error: 0.8529, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2296, root_relative_squared_error: 1.3064, scimark_benchmark: 1284.2094, usercpu_time_millis: 11150, usercpu_time_millis_testing: 7720, usercpu_time_millis_training: 3430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.2303, kappa: 0.1533, kb_relative_information_score: 10030.5449, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2216, predictive_accuracy: 0.2589, prior_entropy: 3.6268, recall: 0.2589, relative_absolute_error: 0.9007, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1695, root_relative_squared_error: 0.9647, scimark_benchmark: 1359.439, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2025, kappa: 0.1103, kb_relative_information_score: 8303.9452, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1973, predictive_accuracy: 0.21, prior_entropy: 3.6268, recall: 0.21, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2034, root_relative_squared_error: 1.1574, scimark_benchmark: 1315.3709, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.2025, kappa: 0.1103, kb_relative_information_score: 8303.9452, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1973, predictive_accuracy: 0.21, prior_entropy: 3.6268, recall: 0.21, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2034, root_relative_squared_error: 1.1574, scimark_benchmark: 1294.7826, usercpu_time_millis: 440, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.2259, kappa: 0.1444, kb_relative_information_score: 9493.2443, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2179, predictive_accuracy: 0.2507, prior_entropy: 3.6268, recall: 0.2507, relative_absolute_error: 0.913, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.9834, scimark_benchmark: 1339.944, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.2065, kappa: 0.1399, kb_relative_information_score: 8961.3177, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1957, predictive_accuracy: 0.2383, prior_entropy: 3.6268, recall: 0.2383, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0705, scimark_benchmark: 1330.7934, usercpu_time_millis: 460, usercpu_time_millis_testing: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7309, f_measure: 0.2228, kappa: 0.1448, kb_relative_information_score: 5597.9447, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2031, predictive_accuracy: 0.2599, prior_entropy: 3.6268, recall: 0.2599, relative_absolute_error: 0.9735, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.9724, scimark_benchmark: 1333.5799, usercpu_time_millis: 300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6407, f_measure: 0.1191, kappa: 0.0803, kb_relative_information_score: 5833.2352, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.084, predictive_accuracy: 0.2087, prior_entropy: 3.6268, recall: 0.2087, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9823, scimark_benchmark: 1329.0992, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.2268, kappa: 0.1502, kb_relative_information_score: 7313.385, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2214, predictive_accuracy: 0.2592, prior_entropy: 3.6268, recall: 0.2592, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.9692, scimark_benchmark: 1345.1228, usercpu_time_millis: 560, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.1919, kappa: 0.1255, kb_relative_information_score: 7853.1104, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2185, predictive_accuracy: 0.2453, prior_entropy: 3.6268, recall: 0.2453, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.176, root_relative_squared_error: 1.0017, scimark_benchmark: 1324.3755, usercpu_time_millis: 9990, usercpu_time_millis_training: 9990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.632, f_measure: 0.1121, kappa: 0.0779, kb_relative_information_score: 5785.8128, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.0838, predictive_accuracy: 0.2091, prior_entropy: 3.6268, recall: 0.2091, relative_absolute_error: 0.9635, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1726, root_relative_squared_error: 0.9822, scimark_benchmark: 1353.1316, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.2271, kappa: 0.1522, kb_relative_information_score: 9372.6889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2171, predictive_accuracy: 0.2599, prior_entropy: 3.6268, recall: 0.2599, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9613, scimark_benchmark: 1334.3805, usercpu_time_millis: 2380, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.2271, kappa: 0.1522, kb_relative_information_score: 9372.6889, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2171, predictive_accuracy: 0.2599, prior_entropy: 3.6268, recall: 0.2599, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.9613, scimark_benchmark: 918.6005, usercpu_time_millis: 3280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5782, f_measure: 0.1611, kappa: 0.0985, kb_relative_information_score: 6425.7343, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1757, predictive_accuracy: 0.2089, prior_entropy: 3.6268, recall: 0.2089, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2105, root_relative_squared_error: 1.198, scimark_benchmark: 1301.9956, usercpu_time_millis: 3740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.2403, kappa: 0.1618, kb_relative_information_score: 9929.3501, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2376, predictive_accuracy: 0.2689, prior_entropy: 3.6268, recall: 0.2689, relative_absolute_error: 0.9128, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.954, scimark_benchmark: 1361.2664, usercpu_time_millis: 1260, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 1100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.2349, kappa: 0.157, kb_relative_information_score: 9612.3378, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2336, predictive_accuracy: 0.2617, prior_entropy: 3.6268, recall: 0.2617, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.9605, scimark_benchmark: 1300.0105, usercpu_time_millis: 1730, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.2055, kappa: 0.1386, kb_relative_information_score: 8942.6633, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.1949, predictive_accuracy: 0.2372, prior_entropy: 3.6268, recall: 0.2372, relative_absolute_error: 0.9029, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1881, root_relative_squared_error: 1.0706, scimark_benchmark: 918.6005, usercpu_time_millis: 220, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.2335, kappa: 0.1462, kb_relative_information_score: 10193.5255, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2296, predictive_accuracy: 0.2464, prior_entropy: 3.6268, recall: 0.2464, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9774, scimark_benchmark: 1386.5717, usercpu_time_millis: 107520, usercpu_time_millis_testing: 107520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4939, f_measure: 0.0467, kb_relative_information_score: 11.5552, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, 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: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.59, f_measure: 0.2064, kappa: 0.1143, kb_relative_information_score: 7986.0645, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.202, predictive_accuracy: 0.2117, prior_entropy: 3.6268, recall: 0.2117, relative_absolute_error: 0.8959, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2102, root_relative_squared_error: 1.196, scimark_benchmark: 1028.5889, usercpu_time_millis: 280, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, build_cpu_time: 265.3955, build_memory: 958303203.5499, f_measure: 0.2376, kappa: 0.1507, kb_relative_information_score: 7811.9127, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2489, predictive_accuracy: 0.2602, prior_entropy: 3.6268, recall: 0.2602, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.9626, scimark_benchmark: 944.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, build_cpu_time: 516.8813, build_memory: 458888911.9035, f_measure: 0.2372, kappa: 0.1503, kb_relative_information_score: 7808.4442, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2492, predictive_accuracy: 0.2601, prior_entropy: 3.6268, recall: 0.2601, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.9622, scimark_benchmark: 942.6669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7479, build_cpu_time: 35.2922, build_memory: 2208762492.3317, f_measure: 0.2351, kappa: 0.146, kb_relative_information_score: 10624.1114, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2295, predictive_accuracy: 0.2453, prior_entropy: 3.6268, recall: 0.2453, relative_absolute_error: 0.8969, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.9728, scimark_benchmark: 928.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, build_cpu_time: 13.9047, build_memory: 1100399973.5747, f_measure: 0.2344, kappa: 0.1452, kb_relative_information_score: 10602.8363, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2286, predictive_accuracy: 0.2445, prior_entropy: 3.6268, recall: 0.2445, relative_absolute_error: 0.897, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.9748, scimark_benchmark: 926.1246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, build_cpu_time: 9.2298, build_memory: 3213178558.8179, f_measure: 0.2338, kappa: 0.1446, kb_relative_information_score: 10586.6748, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2279, predictive_accuracy: 0.2435, prior_entropy: 3.6268, recall: 0.2435, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.9785, scimark_benchmark: 919.2431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, build_cpu_time: 3.6342, build_memory: 2768408573.8965, f_measure: 0.2323, kappa: 0.1426, kb_relative_information_score: 10518.43, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 41770, precision: 0.2269, predictive_accuracy: 0.241, prior_entropy: 3.6268, recall: 0.241, relative_absolute_error: 0.8965, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9864, scimark_benchmark: 933.9903,

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