OpenML
Supervised Classification on eating

Supervised Classification on eating

Task 7307 Supervised Classification eating 260 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.3867, kappa: 0.318, kb_relative_information_score: 9.6588, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4464, predictive_accuracy: 0.4169, prior_entropy: 2.8053, recall: 0.4169, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3494, root_relative_squared_error: 0.9989, scimark_benchmark: 1313.6093, usercpu_time_millis: 300, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.1499, kappa: 0.1081, kb_relative_information_score: 122.3069, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1547, predictive_accuracy: 0.2402, prior_entropy: 2.8053, recall: 0.2402, relative_absolute_error: 0.9104, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.9568, scimark_benchmark: 1307.3764, usercpu_time_millis: 12150, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.3522, kappa: 0.2419, kb_relative_information_score: 199.261, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3619, predictive_accuracy: 0.3513, prior_entropy: 2.8053, recall: 0.3513, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.9416, scimark_benchmark: 765.566, usercpu_time_millis: 78740, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 78620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.3121, kappa: 0.1945, kb_relative_information_score: 246.9164, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3153, predictive_accuracy: 0.3101, prior_entropy: 2.8053, recall: 0.3101, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4314, root_relative_squared_error: 1.2332, scimark_benchmark: 1301.7387, usercpu_time_millis: 4883060, usercpu_time_millis_testing: 26880, usercpu_time_millis_training: 4856180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6638, f_measure: 0.3626, kappa: 0.2482, kb_relative_information_score: 284.1972, mean_absolute_error: 0.1907, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3748, predictive_accuracy: 0.3556, prior_entropy: 2.8053, recall: 0.3556, relative_absolute_error: 0.7791, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3861, root_relative_squared_error: 1.1035, scimark_benchmark: 1316.7714, usercpu_time_millis: 95520, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 95500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.5968, kappa: 0.5305, kb_relative_information_score: 550.6873, mean_absolute_error: 0.1197, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5982, predictive_accuracy: 0.5979, prior_entropy: 2.8053, recall: 0.5979, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.8496, scimark_benchmark: 943.1756, usercpu_time_millis: 231580, usercpu_time_millis_testing: 173850, usercpu_time_millis_training: 57730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.4619, kappa: 0.3859, kb_relative_information_score: 311.1392, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4555, predictive_accuracy: 0.4741, prior_entropy: 2.8053, recall: 0.4741, relative_absolute_error: 0.7959, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.8663, scimark_benchmark: 1292.1375, usercpu_time_millis: 29250, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 29150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.4986, kappa: 0.417, kb_relative_information_score: 418.5632, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4978, predictive_accuracy: 0.5005, prior_entropy: 2.8053, recall: 0.5005, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8592, scimark_benchmark: 1316.7714, usercpu_time_millis: 72370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 72350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102, scimark_benchmark: 1332.6143, usercpu_time_millis: 633690, usercpu_time_millis_testing: 184370, usercpu_time_millis_training: 449320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8285, f_measure: 0.4686, kappa: 0.387, kb_relative_information_score: 330.2291, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.465, predictive_accuracy: 0.4751, prior_entropy: 2.8053, recall: 0.4751, relative_absolute_error: 0.7793, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8582, scimark_benchmark: 1311.1837, usercpu_time_millis: 91860, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 91840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.445, kappa: 0.3574, kb_relative_information_score: 325.4509, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4437, predictive_accuracy: 0.4497, prior_entropy: 2.8053, recall: 0.4497, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3058, root_relative_squared_error: 0.8741, scimark_benchmark: 898.1296, usercpu_time_millis: 48270, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 48230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.4102, kappa: 0.3264, kb_relative_information_score: 356.2044, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.405, predictive_accuracy: 0.4233, prior_entropy: 2.8053, recall: 0.4233, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.1572, scimark_benchmark: 922.1419, usercpu_time_millis: 9710, usercpu_time_millis_testing: 7800, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6676, f_measure: 0.4081, kappa: 0.3252, kb_relative_information_score: 354.5362, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4021, predictive_accuracy: 0.4222, prior_entropy: 2.8053, recall: 0.4222, relative_absolute_error: 0.6738, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4054, root_relative_squared_error: 1.1589, scimark_benchmark: 1345.1228, usercpu_time_millis: 10750, usercpu_time_millis_testing: 9430, usercpu_time_millis_training: 1320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 1334.8495, usercpu_time_millis: 1470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.4407, kappa: 0.3439, kb_relative_information_score: 379.2023, mean_absolute_error: 0.1616, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4448, predictive_accuracy: 0.4381, prior_entropy: 2.8053, recall: 0.4381, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3821, root_relative_squared_error: 1.0923, scimark_benchmark: 1307.2114, usercpu_time_millis: 2672360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2672330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.5171, kappa: 0.4475, kb_relative_information_score: 337.3955, mean_absolute_error: 0.1901, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5122, predictive_accuracy: 0.527, prior_entropy: 2.8053, recall: 0.527, relative_absolute_error: 0.7767, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8449, scimark_benchmark: 1338.01, usercpu_time_millis: 371420, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 371380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.2678, kappa: 0.1696, kb_relative_information_score: 171.6538, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2645, predictive_accuracy: 0.2878, prior_entropy: 2.8053, recall: 0.2878, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.0591, scimark_benchmark: 926.6704, usercpu_time_millis: 5930, usercpu_time_millis_testing: 5080, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.502, kappa: 0.4289, kb_relative_information_score: 333.2643, mean_absolute_error: 0.1906, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4998, predictive_accuracy: 0.5111, prior_entropy: 2.8053, recall: 0.5111, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2979, root_relative_squared_error: 0.8514, scimark_benchmark: 924.1296, usercpu_time_millis: 287340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 287310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 939.9176, usercpu_time_millis: 1910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 1325.2092, usercpu_time_millis: 1390, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 854.5188, usercpu_time_millis: 2040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 1442.7264, usercpu_time_millis: 1360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 943.1756, usercpu_time_millis: 1920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.3765, kappa: 0.266, kb_relative_information_score: 290.2109, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.401, predictive_accuracy: 0.3725, prior_entropy: 2.8053, recall: 0.3725, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.956, scimark_benchmark: 933.3136, usercpu_time_millis: 79920, usercpu_time_millis_testing: 79910, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6536, f_measure: 0.3389, kappa: 0.224, kb_relative_information_score: 306.9275, mean_absolute_error: 0.1984, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3962, predictive_accuracy: 0.3376, prior_entropy: 2.8053, recall: 0.3376, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3505, root_relative_squared_error: 1.0018, scimark_benchmark: 1336.3256, usercpu_time_millis: 71930, usercpu_time_millis_testing: 71930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8409, f_measure: 0.5625, kappa: 0.4927, kb_relative_information_score: 255.525, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5747, predictive_accuracy: 0.5661, prior_entropy: 2.8053, recall: 0.5661, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9124, scimark_benchmark: 1442.7264, usercpu_time_millis: 178550, usercpu_time_millis_testing: 161420, usercpu_time_millis_training: 17130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8871, f_measure: 0.6739, kappa: 0.6157, kb_relative_information_score: 279.3887, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6779, predictive_accuracy: 0.6709, prior_entropy: 2.8053, recall: 0.6709, relative_absolute_error: 0.8669, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.8977, scimark_benchmark: 938.343, usercpu_time_millis: 17680, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 15530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.6267, kappa: 0.5628, kb_relative_information_score: 571.0846, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6284, predictive_accuracy: 0.6254, prior_entropy: 2.8053, recall: 0.6254, relative_absolute_error: 0.4765, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2786, root_relative_squared_error: 0.7963, scimark_benchmark: 932.5646, usercpu_time_millis: 151790, usercpu_time_millis_testing: 880, usercpu_time_millis_training: 150910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.1401, kappa: 0.0153, kb_relative_information_score: 82.9111, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1345, predictive_accuracy: 0.1545, prior_entropy: 2.8053, recall: 0.1545, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4915, root_relative_squared_error: 1.4049, scimark_benchmark: 1331.6907, usercpu_time_millis: 203010, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 202860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.4979, kappa: 0.4273, kb_relative_information_score: 268.74, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4953, predictive_accuracy: 0.5101, prior_entropy: 2.8053, recall: 0.5101, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.8793, scimark_benchmark: 1072.3689, usercpu_time_millis: 5870, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 5780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.2864, kappa: 0.1652, kb_relative_information_score: 213.7404, mean_absolute_error: 0.2044, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2893, predictive_accuracy: 0.2847, prior_entropy: 2.8053, recall: 0.2847, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.2923, scimark_benchmark: 1298.285, usercpu_time_millis: 110, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.3753, kappa: 0.2771, kb_relative_information_score: 295.1332, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.373, predictive_accuracy: 0.381, prior_entropy: 2.8053, recall: 0.381, relative_absolute_error: 0.798, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3403, root_relative_squared_error: 0.9727, scimark_benchmark: 1321.527, usercpu_time_millis: 4910, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.3857, kappa: 0.2854, kb_relative_information_score: 280.4899, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3972, predictive_accuracy: 0.3884, prior_entropy: 2.8053, recall: 0.3884, relative_absolute_error: 0.7955, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3339, root_relative_squared_error: 0.9544, scimark_benchmark: 1315.3881, usercpu_time_millis: 94540, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 94510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6429, f_measure: 0.3079, kappa: 0.2858, kb_relative_information_score: 319.3589, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.337, predictive_accuracy: 0.3905, prior_entropy: 2.8053, recall: 0.3905, relative_absolute_error: 0.7114, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.1929, scimark_benchmark: 1372.2145, usercpu_time_millis: 163250, usercpu_time_millis_testing: 82130, usercpu_time_millis_training: 81120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102, scimark_benchmark: 1327.8711, usercpu_time_millis: 222410, usercpu_time_millis_testing: 45370, usercpu_time_millis_training: 177040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.3468, kappa: 0.2389, kb_relative_information_score: 280.2286, mean_absolute_error: 0.1867, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3457, predictive_accuracy: 0.3481, prior_entropy: 2.8053, recall: 0.3481, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4223, root_relative_squared_error: 1.2072, scimark_benchmark: 1384.4418, usercpu_time_millis: 72350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 72330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5532, f_measure: 0.2329, kappa: 0.106, kb_relative_information_score: 162.9885, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2328, predictive_accuracy: 0.2349, prior_entropy: 2.8053, recall: 0.2349, relative_absolute_error: 0.893, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.3364, scimark_benchmark: 1466.6185, usercpu_time_millis: 1890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.3954, kappa: 0.2873, kb_relative_information_score: 320.4398, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4036, predictive_accuracy: 0.3894, prior_entropy: 2.8053, recall: 0.3894, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4177, root_relative_squared_error: 1.1939, scimark_benchmark: 1351.788, usercpu_time_millis: 260290, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1, scimark_benchmark: 1345.5871, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.3604, kappa: 0.255, kb_relative_information_score: 297.0309, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.3592, predictive_accuracy: 0.3619, prior_entropy: 2.8053, recall: 0.3619, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4145, root_relative_squared_error: 1.1847, scimark_benchmark: 1445.6675, usercpu_time_millis: 28770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 28760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.4317, kappa: 0.3562, kb_relative_information_score: 391.5728, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4235, predictive_accuracy: 0.4487, prior_entropy: 2.8053, recall: 0.4487, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0611, scimark_benchmark: 941.7954, usercpu_time_millis: 227720, usercpu_time_millis_testing: 79200, usercpu_time_millis_training: 148520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.4492, kappa: 0.3761, kb_relative_information_score: 399.4067, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.445, predictive_accuracy: 0.4656, prior_entropy: 2.8053, recall: 0.4656, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3839, root_relative_squared_error: 1.0975, scimark_benchmark: 938.2848, usercpu_time_millis: 997230, usercpu_time_millis_testing: 319820, usercpu_time_millis_training: 677410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.4351, kappa: 0.3623, kb_relative_information_score: 389.1663, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4329, predictive_accuracy: 0.454, prior_entropy: 2.8053, recall: 0.454, relative_absolute_error: 0.6415, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3839, root_relative_squared_error: 1.0974, scimark_benchmark: 911.3823, usercpu_time_millis: 434980, usercpu_time_millis_testing: 133350, usercpu_time_millis_training: 301630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.4262, kappa: 0.3549, kb_relative_information_score: 384.5101, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4234, predictive_accuracy: 0.4476, prior_entropy: 2.8053, recall: 0.4476, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.1016, scimark_benchmark: 943.2817, usercpu_time_millis: 427890, usercpu_time_millis_testing: 133420, usercpu_time_millis_training: 294470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 926.6717, usercpu_time_millis: 2130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 922.9039, usercpu_time_millis: 2050, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 926.6717, usercpu_time_millis: 2200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 876.8277, usercpu_time_millis: 2170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5878, f_measure: 0.1513, kappa: 0.1106, kb_relative_information_score: 123.1044, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.1527, predictive_accuracy: 0.2423, prior_entropy: 2.8053, recall: 0.2423, relative_absolute_error: 0.9085, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9559, scimark_benchmark: 939.7623, usercpu_time_millis: 3040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.6056, kappa: 0.5392, kb_relative_information_score: 561.2635, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.6063, predictive_accuracy: 0.6053, prior_entropy: 2.8053, recall: 0.6053, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3032, root_relative_squared_error: 0.8667, scimark_benchmark: 936.6206, usercpu_time_millis: 1623120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1623100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5395, kappa: 0.4603, kb_relative_information_score: 473.6394, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5423, predictive_accuracy: 0.5376, prior_entropy: 2.8053, recall: 0.5376, relative_absolute_error: 0.6038, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.8442, scimark_benchmark: 931.2336, usercpu_time_millis: 229420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 229400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.4986, kappa: 0.417, kb_relative_information_score: 418.5632, mean_absolute_error: 0.1637, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4978, predictive_accuracy: 0.5005, prior_entropy: 2.8053, recall: 0.5005, relative_absolute_error: 0.6688, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3006, root_relative_squared_error: 0.8592, scimark_benchmark: 929.566, usercpu_time_millis: 126800, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 126790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1, scimark_benchmark: 938.9865, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.4225, kappa: 0.3214, kb_relative_information_score: 305.326, mean_absolute_error: 0.1988, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.43, predictive_accuracy: 0.419, prior_entropy: 2.8053, recall: 0.419, relative_absolute_error: 0.812, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.316, root_relative_squared_error: 0.9032, scimark_benchmark: 930.32, usercpu_time_millis: 1130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.0382, kb_relative_information_score: 0.2822, mean_absolute_error: 0.2448, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3498, root_relative_squared_error: 1, scimark_benchmark: 943.6956, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.484, kappa: 0.3997, kb_relative_information_score: 403.8698, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4828, predictive_accuracy: 0.4857, prior_entropy: 2.8053, recall: 0.4857, relative_absolute_error: 0.6879, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.8649, scimark_benchmark: 932.3943, usercpu_time_millis: 97690, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 97670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0382, kb_relative_information_score: 73.8824, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.0219, predictive_accuracy: 0.1481, prior_entropy: 2.8053, recall: 0.1481, relative_absolute_error: 0.9943, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.4102, scimark_benchmark: 901.0726, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.5013, kappa: 0.4196, kb_relative_information_score: 393.1635, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.5009, predictive_accuracy: 0.5026, prior_entropy: 2.8053, recall: 0.5026, relative_absolute_error: 0.7234, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8552, scimark_benchmark: 902.4773, usercpu_time_millis: 363260, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 363160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7683, f_measure: 0.431, kappa: 0.3438, kb_relative_information_score: 302.4236, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.4262, predictive_accuracy: 0.4381, prior_entropy: 2.8053, recall: 0.4381, relative_absolute_error: 0.804, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3121, root_relative_squared_error: 0.8922, scimark_benchmark: 943.2745, usercpu_time_millis: 3016560, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 3016410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.2793, kappa: 0.2281, kb_relative_information_score: 125.6932, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.2448, number_of_instances: 945, precision: 0.2701, predictive_accuracy: 0.3418, prior_entropy: 2.8053, recall: 0.3418, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3498, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9496, scimark_benchmark: 947.9494, usercpu_time_millis: 1560, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1540,

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