OpenML
Supervised Classification on spambase

Supervised Classification on spambase

Task 1923 Supervised Classification spambase 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1343.7262, usercpu_time_millis: 230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1350.9437, usercpu_time_millis: 230, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9451, kappa: 0.8848, kb_relative_information_score: 36664.8021, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9452, predictive_accuracy: 0.9453, prior_entropy: 0.9674, recall: 0.9453, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4295, scimark_benchmark: 1348.2804, usercpu_time_millis: 23980, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 23790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1339.2472, usercpu_time_millis: 2150, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8403, kappa: 0.6666, kb_relative_information_score: 30275.7485, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.841, predictive_accuracy: 0.8399, prior_entropy: 0.9674, recall: 0.8399, relative_absolute_error: 0.3352, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8188, scimark_benchmark: 1318.2298, usercpu_time_millis: 14810, usercpu_time_millis_testing: 5660, usercpu_time_millis_training: 9150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1347.993, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1260.1387, usercpu_time_millis: 2290, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 938.0414, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1322.7257, usercpu_time_millis: 2270, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 1950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9385, kappa: 0.871, kb_relative_information_score: 37335.9191, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9386, predictive_accuracy: 0.9387, prior_entropy: 0.9674, recall: 0.9387, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.443, scimark_benchmark: 1341.5795, usercpu_time_millis: 130430, usercpu_time_millis_testing: 8670, usercpu_time_millis_training: 121760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 918.0213, usercpu_time_millis: 150, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1288.1375, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 926.6704, usercpu_time_millis: 320, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1342.6911, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 1354.3488, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 1335.643, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9329, kappa: 0.8591, kb_relative_information_score: 38959.8037, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.933, predictive_accuracy: 0.9331, prior_entropy: 0.9674, recall: 0.9331, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.4775, scimark_benchmark: 1343.4596, usercpu_time_millis: 260, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1345.7204, usercpu_time_millis: 2440, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 2140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.9493, kappa: 0.8938, kb_relative_information_score: 39087.0846, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9493, predictive_accuracy: 0.9494, prior_entropy: 0.9674, recall: 0.9494, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4097, scimark_benchmark: 1357.5655, usercpu_time_millis: 4660, usercpu_time_millis_training: 4660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1064.8317, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 1064.8317, usercpu_time_millis: 1730, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9097, kappa: 0.8097, kb_relative_information_score: 36551.8695, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9108, predictive_accuracy: 0.9104, prior_entropy: 0.9674, recall: 0.9104, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2688, root_relative_squared_error: 0.5501, scimark_benchmark: 942.9708, usercpu_time_millis: 275270, usercpu_time_millis_testing: 275270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 1328.941, usercpu_time_millis: 1480, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1350.2369, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 1320.9026, usercpu_time_millis: 1530, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9211, kappa: 0.8346, kb_relative_information_score: 34901.3691, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9211, predictive_accuracy: 0.9213, prior_entropy: 0.9674, recall: 0.9213, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5035, scimark_benchmark: 1342.1678, usercpu_time_millis: 3310, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1343.6648, usercpu_time_millis: 180, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 922.1419, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1249.4068, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1327.035, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9197, kappa: 0.8316, kb_relative_information_score: 29946.9751, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9197, predictive_accuracy: 0.9199, prior_entropy: 0.9674, recall: 0.9199, relative_absolute_error: 0.388, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5377, scimark_benchmark: 916.5769, usercpu_time_millis: 2050, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9343, kappa: 0.8624, kb_relative_information_score: 38243.1633, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9343, predictive_accuracy: 0.9344, prior_entropy: 0.9674, recall: 0.9344, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2358, root_relative_squared_error: 0.4826, scimark_benchmark: 1331.2332, usercpu_time_millis: 22200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 22190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.944, kappa: 0.8822, kb_relative_information_score: 34146.0822, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9444, predictive_accuracy: 0.9442, prior_entropy: 0.9674, recall: 0.9442, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4473, scimark_benchmark: 1371.9645, usercpu_time_millis: 3290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8977, kappa: 0.7846, kb_relative_information_score: 35926.7768, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8985, predictive_accuracy: 0.8985, prior_entropy: 0.9674, recall: 0.8985, relative_absolute_error: 0.2158, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.6134, scimark_benchmark: 1384.4422, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.9275, kappa: 0.8478, kb_relative_information_score: 36428.7842, mean_absolute_error: 0.1069, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9275, predictive_accuracy: 0.9277, prior_entropy: 0.9674, recall: 0.9277, relative_absolute_error: 0.2239, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.5222, scimark_benchmark: 1314.7093, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.9053, kappa: 0.802, kb_relative_information_score: 36674.503, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9056, predictive_accuracy: 0.9051, prior_entropy: 0.9674, recall: 0.9051, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6302, scimark_benchmark: 912.7324, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7317, kappa: 0.4396, kb_relative_information_score: 18716.1075, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.7325, predictive_accuracy: 0.7311, prior_entropy: 0.9674, recall: 0.7311, relative_absolute_error: 0.5904, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0021, scimark_benchmark: 1321.6263, usercpu_time_millis: 450, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9445, kappa: 0.8833, kb_relative_information_score: 34181.9577, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9449, predictive_accuracy: 0.9448, prior_entropy: 0.9674, recall: 0.9448, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2173, root_relative_squared_error: 0.4446, scimark_benchmark: 1307.4861, usercpu_time_millis: 15070, usercpu_time_millis_testing: 610, usercpu_time_millis_training: 14460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9432, kappa: 0.8807, kb_relative_information_score: 34127.411, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9436, predictive_accuracy: 0.9435, prior_entropy: 0.9674, recall: 0.9435, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2201, root_relative_squared_error: 0.4504, scimark_benchmark: 1301.9956, usercpu_time_millis: 1720, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9411, kappa: 0.8763, kb_relative_information_score: 34138.5741, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9674, recall: 0.9414, relative_absolute_error: 0.291, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4574, scimark_benchmark: 860.584, usercpu_time_millis: 870, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9428, kappa: 0.88, kb_relative_information_score: 37809.718, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9429, predictive_accuracy: 0.9429, prior_entropy: 0.9674, recall: 0.9429, relative_absolute_error: 0.1914, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4319, scimark_benchmark: 1073.494, usercpu_time_millis: 1640, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9339, kappa: 0.861, kb_relative_information_score: 36537.444, mean_absolute_error: 0.1055, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9341, predictive_accuracy: 0.9341, prior_entropy: 0.9674, recall: 0.9341, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2248, root_relative_squared_error: 0.46, scimark_benchmark: 1335.4072, usercpu_time_millis: 870, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9194, kappa: 0.8308, kb_relative_information_score: 34103.7354, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9194, predictive_accuracy: 0.9196, prior_entropy: 0.9674, recall: 0.9196, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5177, scimark_benchmark: 925.4974, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9433, kappa: 0.881, kb_relative_information_score: 36617.871, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 0.9674, recall: 0.9434, relative_absolute_error: 0.2246, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4361, scimark_benchmark: 882.7843, usercpu_time_millis: 3330, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9256, kappa: 0.8439, kb_relative_information_score: 36605.7661, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9256, predictive_accuracy: 0.9257, prior_entropy: 0.9674, recall: 0.9257, relative_absolute_error: 0.2167, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5227, scimark_benchmark: 1336.2509, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9364, kappa: 0.8665, kb_relative_information_score: 37028.6874, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9367, predictive_accuracy: 0.9367, prior_entropy: 0.9674, recall: 0.9367, relative_absolute_error: 0.2088, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.4525, scimark_benchmark: 1363.434, usercpu_time_millis: 6140, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 6110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9321, kappa: 0.8573, kb_relative_information_score: 36454.8729, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9324, predictive_accuracy: 0.9324, prior_entropy: 0.9674, recall: 0.9324, relative_absolute_error: 0.2218, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4675, scimark_benchmark: 918.0213, usercpu_time_millis: 3780, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.925, kappa: 0.8423, kb_relative_information_score: 35500.5762, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9253, predictive_accuracy: 0.9253, prior_entropy: 0.9674, recall: 0.9253, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4903, scimark_benchmark: 1304.9611, usercpu_time_millis: 1440, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9113, kappa: 0.8137, kb_relative_information_score: 33727.0128, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9115, predictive_accuracy: 0.9117, prior_entropy: 0.9674, recall: 0.9117, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.5329, scimark_benchmark: 889.3151, usercpu_time_millis: 1000, usercpu_time_millis_training: 1000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.901, kappa: 0.7924, kb_relative_information_score: 32201.1001, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9009, predictive_accuracy: 0.9011, prior_entropy: 0.9674, recall: 0.9011, relative_absolute_error: 0.3179, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.565, scimark_benchmark: 1333.5799, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9009, kappa: 0.7921, kb_relative_information_score: 34449.2588, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9009, predictive_accuracy: 0.9012, prior_entropy: 0.9674, recall: 0.9012, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5728, scimark_benchmark: 854.5188, usercpu_time_millis: 8510, usercpu_time_millis_testing: 8510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9009, kappa: 0.792, kb_relative_information_score: 34449.5417, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9009, predictive_accuracy: 0.9012, prior_entropy: 0.9674, recall: 0.9012, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5729, scimark_benchmark: 1324.8395, usercpu_time_millis: 5780, usercpu_time_millis_testing: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9108, kappa: 0.8122, kb_relative_information_score: 37292.1146, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9114, predictive_accuracy: 0.9113, prior_entropy: 0.9674, recall: 0.9113, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6095, scimark_benchmark: 934.4732, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7133, kappa: 0.4061, kb_relative_information_score: 20965.4473, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.7932, predictive_accuracy: 0.7452, prior_entropy: 0.9674, recall: 0.7452, relative_absolute_error: 0.5336, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0331, scimark_benchmark: 1315.395, usercpu_time_millis: 76320, usercpu_time_millis_testing: 7020, usercpu_time_millis_training: 69300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.9032, kappa: 0.796, kb_relative_information_score: 36593.6818, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.905, predictive_accuracy: 0.9042, prior_entropy: 0.9674, recall: 0.9042, relative_absolute_error: 0.2006, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6334, scimark_benchmark: 1312.3073, usercpu_time_millis: 320, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9267, kappa: 0.846, kb_relative_information_score: 34841.5334, mean_absolute_error: 0.1247, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9269, predictive_accuracy: 0.927, prior_entropy: 0.9674, recall: 0.927, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.4949, scimark_benchmark: 1363.434, usercpu_time_millis: 3200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.838, kappa: 0.6614, kb_relative_information_score: 30070.704, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.8384, predictive_accuracy: 0.8378, prior_entropy: 0.9674, recall: 0.8378, relative_absolute_error: 0.3396, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8242, scimark_benchmark: 938.9967, usercpu_time_millis: 720, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.93, kappa: 0.8533, kb_relative_information_score: 37691.8387, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.93, predictive_accuracy: 0.93, prior_entropy: 0.9674, recall: 0.93, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2413, root_relative_squared_error: 0.4939, scimark_benchmark: 1297.5331, usercpu_time_millis: 47430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 47290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9563, kappa: 0.9083, kb_relative_information_score: 37314.2828, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.9674, recall: 0.9564, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.3952, scimark_benchmark: 1318.5526, usercpu_time_millis: 2510, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 2240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.908, f_measure: 0.9109, kappa: 0.8137, kb_relative_information_score: 37252.772, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9111, predictive_accuracy: 0.9108, prior_entropy: 0.9674, recall: 0.9108, relative_absolute_error: 0.1866, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.6105, scimark_benchmark: 1315.3881, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9229, kappa: 0.8383, kb_relative_information_score: 36057.9517, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9229, predictive_accuracy: 0.923, prior_entropy: 0.9674, recall: 0.923, relative_absolute_error: 0.23, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.5226, scimark_benchmark: 1318.5526, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9235, kappa: 0.8395, kb_relative_information_score: 36130.1516, mean_absolute_error: 0.1098, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9235, predictive_accuracy: 0.9236, prior_entropy: 0.9674, recall: 0.9236, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2622, root_relative_squared_error: 0.5366, scimark_benchmark: 1355.7054, usercpu_time_millis: 2450, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9179, kappa: 0.828, kb_relative_information_score: 37952.1015, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9179, predictive_accuracy: 0.918, prior_entropy: 0.9674, recall: 0.918, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.586, scimark_benchmark: 825.5282, usercpu_time_millis: 28110, usercpu_time_millis_testing: 19280, usercpu_time_millis_training: 8830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5963, f_measure: 0.6204, kappa: 0.1976, kb_relative_information_score: 9322.765, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.6183, predictive_accuracy: 0.6267, prior_entropy: 0.9674, recall: 0.6267, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.611, root_relative_squared_error: 1.2504, scimark_benchmark: 1384.4418, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9362, kappa: 0.8664, kb_relative_information_score: 38798.6241, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4776, number_of_instances: 46010, precision: 0.9362, predictive_accuracy: 0.9362, prior_entropy: 0.9674, recall: 0.9362, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.2373, root_relative_squared_error: 0.4857, scimark_benchmark: 1341.2341, usercpu_time_millis: 1130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1120,

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