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OpenML
Task
Supervised Classification on satimage

Supervised Classification on satimage

Task 2074 Supervised Classification satimage 21369 runs submitted
0 likes downloaded by 1 people , 1 total downloads 0 issues
Visibility: Public
  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21369 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9092, kappa: 0.8876, kb_relative_information_score: 5764.1948, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9098, predictive_accuracy: 0.9089, prior_entropy: 2.4836, recall: 0.9089, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4125, scimark_benchmark: 854.5188, usercpu_time_millis: 6630, usercpu_time_millis_testing: 6630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.8121, kappa: 0.7889, kb_relative_information_score: 2114.9534, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8177, predictive_accuracy: 0.8316, prior_entropy: 2.4836, recall: 0.8316, relative_absolute_error: 0.8424, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.8669, scimark_benchmark: 930.5999, usercpu_time_millis: 66510, usercpu_time_millis_testing: 20840, usercpu_time_millis_training: 45670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8639, kappa: 0.8362, kb_relative_information_score: 2187.5485, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8621, predictive_accuracy: 0.8678, prior_entropy: 2.4836, recall: 0.8678, relative_absolute_error: 0.8362, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.8587, scimark_benchmark: 882.7843, usercpu_time_millis: 600, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8509, kappa: 0.8223, kb_relative_information_score: 5254.2588, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8485, predictive_accuracy: 0.8568, prior_entropy: 2.4836, recall: 0.8568, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4933, scimark_benchmark: 942.9708, usercpu_time_millis: 14160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 14130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8921, f_measure: 0.7984, kappa: 0.7857, kb_relative_information_score: 4985.8925, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8111, predictive_accuracy: 0.8292, prior_entropy: 2.4836, recall: 0.8292, relative_absolute_error: 0.2107, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.6492, scimark_benchmark: 939.449, usercpu_time_millis: 5870, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8277, kappa: 0.7805, kb_relative_information_score: 5125.4237, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.842, predictive_accuracy: 0.8207, prior_entropy: 2.4836, recall: 0.8207, relative_absolute_error: 0.2221, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.6517, scimark_benchmark: 1304.9611, usercpu_time_millis: 10760, usercpu_time_millis_testing: 1010, usercpu_time_millis_training: 9750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9134, kappa: 0.8954, kb_relative_information_score: 5546.0644, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9132, predictive_accuracy: 0.9156, prior_entropy: 2.4836, recall: 0.9156, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4015, scimark_benchmark: 825.5282, usercpu_time_millis: 6130, usercpu_time_millis_testing: 1270, usercpu_time_millis_training: 4860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9088, f_measure: 0.8496, kappa: 0.8135, kb_relative_information_score: 5271.3382, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8504, predictive_accuracy: 0.8488, prior_entropy: 2.4836, recall: 0.8488, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.6108, scimark_benchmark: 1361.1055, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8596, kappa: 0.8292, kb_relative_information_score: 5249.3274, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8585, predictive_accuracy: 0.8621, prior_entropy: 2.4836, recall: 0.8621, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5169, scimark_benchmark: 1319.9043, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8694, kappa: 0.8417, kb_relative_information_score: 5294.8047, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8682, predictive_accuracy: 0.8722, prior_entropy: 2.4836, recall: 0.8722, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.5165, scimark_benchmark: 1341.5768, usercpu_time_millis: 2300, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.8768, kappa: 0.8499, kb_relative_information_score: 5491.6033, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8757, predictive_accuracy: 0.8785, prior_entropy: 2.4836, recall: 0.8785, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.5475, scimark_benchmark: 1355.7054, usercpu_time_millis: 44390, usercpu_time_millis_testing: 31460, usercpu_time_millis_training: 12930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6082, f_measure: 0.3161, kappa: 0.2231, kb_relative_information_score: 1871.2546, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.3536, predictive_accuracy: 0.4, prior_entropy: 2.4836, recall: 0.4, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.2169, scimark_benchmark: 1384.4418, usercpu_time_millis: 2970, usercpu_time_millis_testing: 840, usercpu_time_millis_training: 2130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8637, kappa: 0.8327, kb_relative_information_score: 5381.7417, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8631, predictive_accuracy: 0.8645, prior_entropy: 2.4836, recall: 0.8645, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2068, root_relative_squared_error: 0.5626, scimark_benchmark: 1358.4523, usercpu_time_millis: 3770, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.5714, kappa: 0.5033, kb_relative_information_score: 3570.6534, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.5924, predictive_accuracy: 0.5964, prior_entropy: 2.4836, recall: 0.5964, relative_absolute_error: 0.498, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.998, scimark_benchmark: 1466.6185, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9023, kappa: 0.8812, kb_relative_information_score: 5652.8759, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9017, predictive_accuracy: 0.9039, prior_entropy: 2.4836, recall: 0.9039, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.453, scimark_benchmark: 921.8984, usercpu_time_millis: 409900, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 409570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.8549, kappa: 0.8262, kb_relative_information_score: 5319.1868, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8539, predictive_accuracy: 0.8599, prior_entropy: 2.4836, recall: 0.8599, relative_absolute_error: 0.1729, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.5881, scimark_benchmark: 1466.6185, usercpu_time_millis: 19040, usercpu_time_millis_training: 19040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.0916, kb_relative_information_score: 0.5921, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.0567, predictive_accuracy: 0.2381, prior_entropy: 2.4836, recall: 0.2381, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3675, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.861, kappa: 0.8298, kb_relative_information_score: 5348.025, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8601, predictive_accuracy: 0.8622, prior_entropy: 2.4836, recall: 0.8622, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.5572, scimark_benchmark: 1066.833, usercpu_time_millis: 750, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8024, kappa: 0.7485, kb_relative_information_score: 3986.6133, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8182, predictive_accuracy: 0.7944, prior_entropy: 2.4836, recall: 0.7944, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.7159, scimark_benchmark: 940.2922, usercpu_time_millis: 11870, usercpu_time_millis_testing: 3750, usercpu_time_millis_training: 8120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8027, kappa: 0.7489, kb_relative_information_score: 3117.7428, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.7947, prior_entropy: 2.4836, recall: 0.7947, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.27, root_relative_squared_error: 0.7348, scimark_benchmark: 911.3823, usercpu_time_millis: 6620, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 4630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8027, kappa: 0.7489, kb_relative_information_score: 3117.7428, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8187, predictive_accuracy: 0.7947, prior_entropy: 2.4836, recall: 0.7947, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.27, root_relative_squared_error: 0.7348, scimark_benchmark: 941.7954, usercpu_time_millis: 6600, usercpu_time_millis_testing: 1980, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 922.9039, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 943.2817, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 911.3823, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 938.4285, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 923.7642, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.901, kappa: 0.8784, kb_relative_information_score: 5624.336, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9006, predictive_accuracy: 0.9016, prior_entropy: 2.4836, recall: 0.9016, relative_absolute_error: 0.1597, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4295, scimark_benchmark: 938.4285, usercpu_time_millis: 49770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 49760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8939, kappa: 0.8702, kb_relative_information_score: 5567.6098, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8932, predictive_accuracy: 0.895, prior_entropy: 2.4836, recall: 0.895, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4358, scimark_benchmark: 924.6116, usercpu_time_millis: 24010, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 24000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8873, kappa: 0.8623, kb_relative_information_score: 5481.9132, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8867, predictive_accuracy: 0.8886, prior_entropy: 2.4836, recall: 0.8886, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.165, root_relative_squared_error: 0.449, scimark_benchmark: 924.6116, usercpu_time_millis: 9530, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 9520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8731, kappa: 0.8448, kb_relative_information_score: 5342.2173, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8726, predictive_accuracy: 0.8745, prior_entropy: 2.4836, recall: 0.8745, relative_absolute_error: 0.2205, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.4726, scimark_benchmark: 932.3943, usercpu_time_millis: 6110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, build_cpu_time: 6236.9186, build_memory: 961751223.2, f_measure: 0.9142, kappa: 0.8953, kb_relative_information_score: 5773.4397, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.914, predictive_accuracy: 0.9152, prior_entropy: 2.4836, recall: 0.9152, relative_absolute_error: 0.1047, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.4512, scimark_benchmark: 940.067,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, build_cpu_time: 77.5296, build_memory: 1457951510.4, f_measure: 0.9034, kappa: 0.8807, kb_relative_information_score: 5705.4863, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9036, predictive_accuracy: 0.9034, prior_entropy: 2.4836, recall: 0.9034, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4532, scimark_benchmark: 933.4498,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, build_cpu_time: 71.7861, build_memory: 765751096.8, f_measure: 0.9032, kappa: 0.8805, kb_relative_information_score: 5702.4362, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9034, predictive_accuracy: 0.9033, prior_entropy: 2.4836, recall: 0.9033, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4537, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, build_cpu_time: 29.5279, build_memory: 697638432, f_measure: 0.8938, kappa: 0.869, kb_relative_information_score: 5618.3328, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8937, predictive_accuracy: 0.8939, prior_entropy: 2.4836, recall: 0.8939, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4642, scimark_benchmark: 939.0159,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, build_cpu_time: 4.0523, build_memory: 400712537.6, f_measure: 0.9074, kappa: 0.8846, kb_relative_information_score: 5719.0341, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9089, predictive_accuracy: 0.9064, prior_entropy: 2.4836, recall: 0.9064, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4805, scimark_benchmark: 937.6343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.944, build_cpu_time: 3.4188, build_memory: 310077743.2, f_measure: 0.9074, kappa: 0.8846, kb_relative_information_score: 5719.0341, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9089, predictive_accuracy: 0.9064, prior_entropy: 2.4836, recall: 0.9064, relative_absolute_error: 0.1165, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.4805, scimark_benchmark: 924.6733,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, build_cpu_time: 0.0969, build_memory: 206464679.2, f_measure: 0.2904, kappa: 0.269, kb_relative_information_score: 1730.986, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.2288, predictive_accuracy: 0.4373, prior_entropy: 2.4836, recall: 0.4373, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.9078, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, build_cpu_time: 27.8916, build_memory: 2482196299.2, f_measure: 0.9028, kappa: 0.8815, kb_relative_information_score: 5693.5742, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9022, predictive_accuracy: 0.9042, prior_entropy: 2.4836, recall: 0.9042, relative_absolute_error: 0.1217, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.4639, scimark_benchmark: 892.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, build_cpu_time: 3.1916, build_memory: 308491033.6, f_measure: 0.9134, kappa: 0.8954, kb_relative_information_score: 5546.0644, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.9132, predictive_accuracy: 0.9156, prior_entropy: 2.4836, recall: 0.9156, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4015, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, build_cpu_time: 4.8853, build_memory: 665718096, f_measure: 0.8611, kappa: 0.8323, kb_relative_information_score: 5225.9996, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8595, predictive_accuracy: 0.8645, prior_entropy: 2.4836, recall: 0.8645, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.5356, scimark_benchmark: 938.8276,

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