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OpenML
Task
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: 0.6174, f_measure: 0.2071, kappa: 0.1212, kb_relative_information_score: 986.8453, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2029, predictive_accuracy: 0.2241, prior_entropy: 3.6268, recall: 0.2241, relative_absolute_error: 0.8899, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1912, root_relative_squared_error: 1.0878, scimark_benchmark: 1404.1865, usercpu_time_millis: 880, usercpu_time_millis_testing: 880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.122, kappa: 0.0525, kb_relative_information_score: 188.2989, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0887, predictive_accuracy: 0.1961, prior_entropy: 3.6268, recall: 0.1961, 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: 915.6729, usercpu_time_millis: 46520, usercpu_time_millis_testing: 25530, usercpu_time_millis_training: 20990,
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: 1318.1432, usercpu_time_millis: 3120, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 3030,
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: 1318.1432, usercpu_time_millis: 13500, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 13460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5686, f_measure: 0.2203, kappa: 0.1394, kb_relative_information_score: 763.5496, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2102, predictive_accuracy: 0.2545, prior_entropy: 3.6268, recall: 0.2545, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2267, root_relative_squared_error: 1.2904, scimark_benchmark: 916.9356, usercpu_time_millis: 1460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1450,
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: 1066.7184, usercpu_time_millis: 4530, usercpu_time_millis_testing: 3260, usercpu_time_millis_training: 1270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.2312, kappa: 0.1411, kb_relative_information_score: 1051.0939, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2264, predictive_accuracy: 0.2413, prior_entropy: 3.6268, recall: 0.2413, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.9776, scimark_benchmark: 1307.3269, usercpu_time_millis: 3810, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 3210,
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: 1346.9602, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, 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: 1318.1432, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.2288, kappa: 0.1523, kb_relative_information_score: 955.7024, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2273, predictive_accuracy: 0.2586, prior_entropy: 3.6268, recall: 0.2586, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.9643, scimark_benchmark: 1361.1055, usercpu_time_millis: 2910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.218, kappa: 0.1271, kb_relative_information_score: 701.365, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2175, predictive_accuracy: 0.2193, prior_entropy: 3.6268, recall: 0.2193, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.232, root_relative_squared_error: 1.3205, scimark_benchmark: 1442.7264, usercpu_time_millis: 2380, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5165, f_measure: 0.048, kappa: 0.0321, kb_relative_information_score: 203.2164, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.0636, predictive_accuracy: 0.0795, prior_entropy: 3.6268, recall: 0.0795, relative_absolute_error: 1.0274, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.252, root_relative_squared_error: 1.4339, scimark_benchmark: 1384.4418, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5977, 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: 1358.4523, usercpu_time_millis: 5510, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 5360,
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: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5552, f_measure: 0.2031, kappa: 0.111, kb_relative_information_score: 647.3058, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2013, predictive_accuracy: 0.2054, prior_entropy: 3.6268, recall: 0.2054, relative_absolute_error: 0.8869, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2341, root_relative_squared_error: 1.3322, scimark_benchmark: 1418.5826, usercpu_time_millis: 43780, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 43770,
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: 1028.5889, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5891, f_measure: 0.202, kappa: 0.1095, kb_relative_information_score: 784.0184, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.198, predictive_accuracy: 0.2071, prior_entropy: 3.6268, recall: 0.2071, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.211, root_relative_squared_error: 1.2007, scimark_benchmark: 1054.3694, usercpu_time_millis: 410, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 370,
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: 940.2922, usercpu_time_millis: 460, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 240,
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: 945.6434, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
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: 942.6953, usercpu_time_millis: 440, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 220,
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: 941.7954, usercpu_time_millis: 430, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 220,
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: 922.9039, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, 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: 943.2817, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 938.2848, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, 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: 938.4285, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, 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: 923.7642, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.2428, kappa: 0.1591, kb_relative_information_score: 1041.6045, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2369, predictive_accuracy: 0.2583, prior_entropy: 3.6268, recall: 0.2583, relative_absolute_error: 0.8957, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.9663, scimark_benchmark: 933.1776, usercpu_time_millis: 17070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 17050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.2439, kappa: 0.1615, kb_relative_information_score: 1028.7672, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2406, predictive_accuracy: 0.2624, prior_entropy: 3.6268, recall: 0.2624, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.169, root_relative_squared_error: 0.9619, scimark_benchmark: 933.1776, usercpu_time_millis: 8260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.2389, kappa: 0.1598, kb_relative_information_score: 1008.0032, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2345, predictive_accuracy: 0.2629, prior_entropy: 3.6268, recall: 0.2629, relative_absolute_error: 0.9054, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9588, scimark_benchmark: 932.3943, usercpu_time_millis: 4190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.2385, kappa: 0.1606, kb_relative_information_score: 968.0963, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2351, predictive_accuracy: 0.2645, prior_entropy: 3.6268, recall: 0.2645, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1685, root_relative_squared_error: 0.9592, scimark_benchmark: 938.9865, usercpu_time_millis: 2110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.2206, kappa: 0.1307, kb_relative_information_score: 1008.6056, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2154, predictive_accuracy: 0.2282, prior_entropy: 3.6268, recall: 0.2282, relative_absolute_error: 0.8932, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1819, root_relative_squared_error: 1.0353, scimark_benchmark: 929.566, usercpu_time_millis: 720, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 660,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6651, build_cpu_time: 7.42, build_memory: 789616069.0218, f_measure: 0.2192, kappa: 0.1274, kb_relative_information_score: 822.0292, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2159, predictive_accuracy: 0.2238, prior_entropy: 3.6268, recall: 0.2238, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2089, root_relative_squared_error: 1.1889, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6672, build_cpu_time: 14.6646, build_memory: 347394808.4386, 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: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6349, build_cpu_time: 26.071, build_memory: 1437925246.0465, f_measure: 0.2154, kappa: 0.1226, kb_relative_information_score: 749.5722, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2121, predictive_accuracy: 0.2205, prior_entropy: 3.6268, recall: 0.2205, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.225, root_relative_squared_error: 1.2805, scimark_benchmark: 931.9671,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, build_cpu_time: 0.9474, build_memory: 887126301.5255, 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: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, build_cpu_time: 0.0185, build_memory: 781760393.4537, 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: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, build_cpu_time: 289.2645, build_memory: 2201891574.3663, f_measure: 0.2339, kappa: 0.1451, kb_relative_information_score: 185.2084, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.2292, predictive_accuracy: 0.2475, prior_entropy: 3.6268, recall: 0.2475, relative_absolute_error: 1.0531, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.1788, root_relative_squared_error: 1.0174, scimark_benchmark: 945.5918,

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