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Supervised Classification on meta_ensembles.arff

Supervised Classification on meta_ensembles.arff

Task 2354 Supervised Classification meta_ensembles.arff 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 926.6704, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1380.2233, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1354.7191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 1355.2525, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7822, f_measure: 0.4992, kappa: 0.1592, kb_relative_information_score: 6.6302, mean_absolute_error: 0.2143, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4673, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4469, root_relative_squared_error: 1.1501, scimark_benchmark: 1323.4648, usercpu_time_millis: 470, usercpu_time_millis_testing: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 1064.8317, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.4759, kappa: 0.1351, kb_relative_information_score: 3.8564, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4556, predictive_accuracy: 0.5, prior_entropy: 1.5899, recall: 0.5, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.1179, scimark_benchmark: 1227.9507, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7208, f_measure: 0.4784, kappa: 0.0671, kb_relative_information_score: 3.5504, mean_absolute_error: 0.2814, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5167, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4141, root_relative_squared_error: 1.0656, scimark_benchmark: 882.7843, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.4759, kappa: 0.1351, kb_relative_information_score: 3.8564, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4556, predictive_accuracy: 0.5, prior_entropy: 1.5899, recall: 0.5, relative_absolute_error: 0.8254, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4344, root_relative_squared_error: 1.1179, scimark_benchmark: 1365.1392, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.4298, kb_relative_information_score: 1.3748, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.9915, scimark_benchmark: 1325.3444, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.4951, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.987, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3901, root_relative_squared_error: 1.0039, scimark_benchmark: 854.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 1356.6855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7402, f_measure: 0.625, kappa: 0.3775, kb_relative_information_score: 9.3507, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.6319, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 0.718, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.9952, scimark_benchmark: 1354.8751, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 5.3016, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 1343.6648, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.5853, kappa: 0.3103, kb_relative_information_score: 7.3722, mean_absolute_error: 0.2207, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.6042, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.1333, scimark_benchmark: 1299.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6821, f_measure: 0.5853, kappa: 0.3103, kb_relative_information_score: 7.9287, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.6042, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 898.1296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.342, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3897, root_relative_squared_error: 1.0029, scimark_benchmark: 1316.7714, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.5081, kappa: 0.136, kb_relative_information_score: -0.5574, mean_absolute_error: 0.3515, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5217, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 1.1783, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4126, root_relative_squared_error: 1.0618, scimark_benchmark: 1330.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.5, kappa: 0.1176, kb_relative_information_score: 5.7038, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5278, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4564, root_relative_squared_error: 1.1746, scimark_benchmark: 1320.2717, usercpu_time_millis: 4870, usercpu_time_millis_training: 4870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.425, f_measure: 0.3281, kappa: -0.1765, kb_relative_information_score: -1.9797, mean_absolute_error: 0.3309, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.2917, predictive_accuracy: 0.375, prior_entropy: 1.5899, recall: 0.375, relative_absolute_error: 1.109, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.2375, scimark_benchmark: 1301.7387, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7602, f_measure: 0.5469, kappa: 0.2357, kb_relative_information_score: 6.2792, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5229, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4006, root_relative_squared_error: 1.0309, scimark_benchmark: 1270.2428, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.5111, kappa: 0.1902, kb_relative_information_score: 5.384, mean_absolute_error: 0.2307, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5052, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4423, root_relative_squared_error: 1.1383, scimark_benchmark: 1329.8902, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.4298, kb_relative_information_score: 1.3469, mean_absolute_error: 0.2855, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.9906, scimark_benchmark: 1360.2771, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6093, f_measure: 0.4931, kappa: 0.1316, kb_relative_information_score: 4.409, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4722, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.232, scimark_benchmark: 1275.9462, usercpu_time_millis: 400, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.4931, kappa: 0.1316, kb_relative_information_score: 4.6794, mean_absolute_error: 0.2326, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4722, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.472, root_relative_squared_error: 1.2146, scimark_benchmark: 1341.4232, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.4099, kappa: -0.0518, kb_relative_information_score: 3.6428, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3297, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.8887, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9638, scimark_benchmark: 1313.6093, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.4099, kappa: -0.0518, kb_relative_information_score: 3.2456, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3297, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.9008, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9616, scimark_benchmark: 1332.6143, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.4099, kappa: -0.0518, kb_relative_information_score: 2.9137, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3297, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.9664, scimark_benchmark: 1059.8591, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 818.6501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.5729, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3904, root_relative_squared_error: 1.0046, scimark_benchmark: 1034.2235, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.4903, kappa: 0.1287, kb_relative_information_score: 4.3678, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4537, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4559, root_relative_squared_error: 1.1733, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5732, f_measure: 0.4903, kappa: 0.1287, kb_relative_information_score: 4.3678, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.4537, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.8301, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4559, root_relative_squared_error: 1.1733, scimark_benchmark: 1294.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4298, kb_relative_information_score: 0.6679, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3403, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3907, root_relative_squared_error: 1.0055, scimark_benchmark: 1339.7143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5, kappa: 0.1176, kb_relative_information_score: 3.0218, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5278, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9484, scimark_benchmark: 1333.5799, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.5737, kappa: 0.3478, kb_relative_information_score: 8.8179, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5903, predictive_accuracy: 0.5833, prior_entropy: 1.5899, recall: 0.5833, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4575, root_relative_squared_error: 1.1773, scimark_benchmark: 1356.3402, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6111, f_measure: 0.5548, kappa: 0.2603, kb_relative_information_score: 3.1684, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5102, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.9555, scimark_benchmark: 1334.8272, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5756, f_measure: 0.5548, kappa: 0.2603, kb_relative_information_score: 3.5945, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.5102, predictive_accuracy: 0.625, prior_entropy: 1.5899, recall: 0.625, relative_absolute_error: 0.8703, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9818, scimark_benchmark: 1331.0755, usercpu_time_millis: 9770, usercpu_time_millis_training: 9770,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, build_cpu_time: 0.025, build_memory: 1353849040, f_measure: 0.4596, kappa: 0.102, kb_relative_information_score: 6.3726, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3991, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9677, scimark_benchmark: 939.9709,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, build_cpu_time: 0.049, build_memory: 843755144, f_measure: 0.4213, kappa: -0.0076, kb_relative_information_score: 3.0407, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.2983, number_of_instances: 24, precision: 0.3447, predictive_accuracy: 0.5417, prior_entropy: 1.5899, recall: 0.5417, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.3886, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.1902, scimark_benchmark: 927.3354,
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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