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Supervised Classification on meta_batchincremental.arff

Supervised Classification on meta_batchincremental.arff

Task 2977 Supervised Classification meta_batchincremental.arff 175 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5622, kappa: 0.0373, kb_relative_information_score: 91.3498, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5112, predictive_accuracy: 0.6459, prior_entropy: 1.3842, recall: 0.6459, relative_absolute_error: 0.8635, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.9455, scimark_benchmark: 892.0148, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5809, kappa: 0.1351, kb_relative_information_score: 80.7177, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5734, predictive_accuracy: 0.5892, prior_entropy: 1.3842, recall: 0.5892, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1762, scimark_benchmark: 1342.3004, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.519, kappa: 0.0766, kb_relative_information_score: -38.1797, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5671, predictive_accuracy: 0.4784, prior_entropy: 1.3842, recall: 0.4784, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.4574, scimark_benchmark: 1371.9645, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5322, f_measure: 0.5721, kappa: 0.0943, kb_relative_information_score: 90.345, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5448, predictive_accuracy: 0.6054, prior_entropy: 1.3842, recall: 0.6054, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4244, root_relative_squared_error: 1.211, scimark_benchmark: 1326.8946, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.6185, kappa: 0.1873, kb_relative_information_score: 169.3037, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5811, predictive_accuracy: 0.6703, prior_entropy: 1.3842, recall: 0.6703, relative_absolute_error: 0.6939, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3929, root_relative_squared_error: 1.1213, scimark_benchmark: 1328.941, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7128, f_measure: 0.5874, kappa: 0.0955, kb_relative_information_score: 84.6393, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5465, predictive_accuracy: 0.6662, prior_entropy: 1.3842, recall: 0.6662, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.952, scimark_benchmark: 932.0242, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 1322.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5242, f_measure: 0.5051, kappa: -0.0145, kb_relative_information_score: -20.1318, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5008, predictive_accuracy: 0.5095, prior_entropy: 1.3842, recall: 0.5095, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.3744, scimark_benchmark: 1349.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5051, kappa: -0.0145, kb_relative_information_score: -8.4753, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5008, predictive_accuracy: 0.5095, prior_entropy: 1.3842, recall: 0.5095, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.4133, scimark_benchmark: 1346.3935, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, f_measure: 0.5889, kappa: 0.1147, kb_relative_information_score: 133.3252, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5824, predictive_accuracy: 0.6243, prior_entropy: 1.3842, recall: 0.6243, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4334, root_relative_squared_error: 1.2368, scimark_benchmark: 1329.8847, usercpu_time_millis: 5010, usercpu_time_millis_training: 5010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5111, f_measure: 0.5724, kappa: 0.0554, kb_relative_information_score: 31.0407, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5291, predictive_accuracy: 0.6473, prior_entropy: 1.3842, recall: 0.6473, relative_absolute_error: 0.9534, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3626, root_relative_squared_error: 1.0348, scimark_benchmark: 1337.6765, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4725, f_measure: 0.5615, kappa: 0.0262, kb_relative_information_score: 3.6098, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5198, predictive_accuracy: 0.6568, prior_entropy: 1.3842, recall: 0.6568, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3581, root_relative_squared_error: 1.022, scimark_benchmark: 1328.8457, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.601, kappa: 0.1486, kb_relative_information_score: 64.6414, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5638, predictive_accuracy: 0.6514, prior_entropy: 1.3842, recall: 0.6514, relative_absolute_error: 0.9012, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3689, root_relative_squared_error: 1.0527, scimark_benchmark: 1340.4336, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5809, kappa: 0.1351, kb_relative_information_score: 80.7177, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5734, predictive_accuracy: 0.5892, prior_entropy: 1.3842, recall: 0.5892, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1762, scimark_benchmark: 1305.7138, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.6755, kappa: 0.3251, kb_relative_information_score: 233.7696, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6534, predictive_accuracy: 0.7054, prior_entropy: 1.3842, recall: 0.7054, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3766, root_relative_squared_error: 1.0748, scimark_benchmark: 1358.4523, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.6699, kappa: 0.3123, kb_relative_information_score: 231.0327, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6472, predictive_accuracy: 0.7014, prior_entropy: 1.3842, recall: 0.7014, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.0537, scimark_benchmark: 1355.2525, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.5691, kappa: 0.0541, kb_relative_information_score: 88.417, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5204, predictive_accuracy: 0.6527, prior_entropy: 1.3842, recall: 0.6527, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9477, scimark_benchmark: 1327.9121, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.6145, kappa: 0.1718, kb_relative_information_score: 93.0802, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.575, predictive_accuracy: 0.6743, prior_entropy: 1.3842, recall: 0.6743, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.9619, scimark_benchmark: 1322.4054, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.5383, kappa: -0.0221, kb_relative_information_score: 159.1156, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4535, predictive_accuracy: 0.6622, prior_entropy: 1.3842, recall: 0.6622, relative_absolute_error: 0.6706, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.411, root_relative_squared_error: 1.1729, scimark_benchmark: 1260.7985, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 21.146, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0552, scimark_benchmark: 898.1296, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5761, kappa: 0.1293, kb_relative_information_score: 75.3686, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5661, predictive_accuracy: 0.5865, prior_entropy: 1.3842, recall: 0.5865, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.433, root_relative_squared_error: 1.2358, scimark_benchmark: 1319.6463, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5668, f_measure: 0.5761, kappa: 0.1293, kb_relative_information_score: 75.3686, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5661, predictive_accuracy: 0.5865, prior_entropy: 1.3842, recall: 0.5865, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.433, root_relative_squared_error: 1.2358, scimark_benchmark: 889.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 1326.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6475, f_measure: 0.5487, kappa: 0.1626, kb_relative_information_score: 7.8229, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6238, predictive_accuracy: 0.5108, prior_entropy: 1.3842, recall: 0.5108, relative_absolute_error: 0.9766, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4811, root_relative_squared_error: 1.3729, scimark_benchmark: 909.1698, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.5702, kappa: 0.0642, kb_relative_information_score: 25.0978, mean_absolute_error: 0.2468, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5219, predictive_accuracy: 0.6405, prior_entropy: 1.3842, recall: 0.6405, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.346, root_relative_squared_error: 0.9873, scimark_benchmark: 1413.089, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5951, f_measure: 0.5383, kappa: 0.0828, kb_relative_information_score: 19.6068, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5554, predictive_accuracy: 0.5243, prior_entropy: 1.3842, recall: 0.5243, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4848, root_relative_squared_error: 1.3836, scimark_benchmark: 1347.7065, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.5707, kappa: 0.1421, kb_relative_information_score: -242.4539, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5895, predictive_accuracy: 0.5541, prior_entropy: 1.3842, recall: 0.5541, relative_absolute_error: 1.3887, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4508, root_relative_squared_error: 1.2866, scimark_benchmark: 1342.5243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4132, f_measure: 0.5449, kb_relative_information_score: -4.2639, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0032, scimark_benchmark: 1344.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6133, kappa: 0.171, kb_relative_information_score: 85.1558, mean_absolute_error: 0.218, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5718, predictive_accuracy: 0.673, prior_entropy: 1.3842, recall: 0.673, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3495, root_relative_squared_error: 0.9974, scimark_benchmark: 1307.7326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5975, f_measure: 0.5801, kappa: 0.144, kb_relative_information_score: 76.364, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5835, predictive_accuracy: 0.577, prior_entropy: 1.3842, recall: 0.577, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.3123, scimark_benchmark: 1334.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4132, f_measure: 0.5434, kappa: -0.0048, kb_relative_information_score: -6.8738, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4563, predictive_accuracy: 0.6716, prior_entropy: 1.3842, recall: 0.6716, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3546, root_relative_squared_error: 1.0119, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6355, f_measure: 0.5809, kappa: 0.1351, kb_relative_information_score: 80.7177, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5734, predictive_accuracy: 0.5892, prior_entropy: 1.3842, recall: 0.5892, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4122, root_relative_squared_error: 1.1762, scimark_benchmark: 1341.7207, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.5438, kappa: -0.0029, kb_relative_information_score: 51.1305, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4569, predictive_accuracy: 0.6716, prior_entropy: 1.3842, recall: 0.6716, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.9682, scimark_benchmark: 1338.01, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.5449, kappa: -0.0035, kb_relative_information_score: 47.1518, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4806, predictive_accuracy: 0.6689, prior_entropy: 1.3842, recall: 0.6689, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.9721, scimark_benchmark: 1353.1316, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6617, kappa: 0.2994, kb_relative_information_score: 187.5242, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.646, predictive_accuracy: 0.6905, prior_entropy: 1.3842, recall: 0.6905, relative_absolute_error: 0.6836, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.9898, scimark_benchmark: 1313.5726, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.5956, kappa: 0.117, kb_relative_information_score: 90.8106, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5551, predictive_accuracy: 0.6676, prior_entropy: 1.3842, recall: 0.6676, relative_absolute_error: 0.8677, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.9514, scimark_benchmark: 1367.8403, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5758, kappa: 0.0597, kb_relative_information_score: 17.5693, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.65, prior_entropy: 1.3842, recall: 0.65, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0569, scimark_benchmark: 918.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4538, f_measure: 0.558, kappa: 0.0173, kb_relative_information_score: 20.8544, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5158, predictive_accuracy: 0.6541, prior_entropy: 1.3842, recall: 0.6541, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3619, root_relative_squared_error: 1.0326, scimark_benchmark: 918.6005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6508, f_measure: 0.5439, kappa: 0.1461, kb_relative_information_score: 3.962, mean_absolute_error: 0.2469, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6129, predictive_accuracy: 0.5068, prior_entropy: 1.3842, recall: 0.5068, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.3762, scimark_benchmark: 1332.4146, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4451, f_measure: 0.5171, kappa: 0.0078, kb_relative_information_score: -244.409, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5097, predictive_accuracy: 0.5257, prior_entropy: 1.3842, recall: 0.5257, relative_absolute_error: 1.4317, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.197, scimark_benchmark: 916.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4724, f_measure: 0.5605, kappa: 0.0223, kb_relative_information_score: 2.1439, mean_absolute_error: 0.2504, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5176, predictive_accuracy: 0.6473, prior_entropy: 1.3842, recall: 0.6473, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3607, root_relative_squared_error: 1.0292, scimark_benchmark: 940.0008, usercpu_time_millis: 3100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6671, f_measure: 0.5455, kappa: -0.0013, kb_relative_information_score: 49.9832, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4839, predictive_accuracy: 0.6703, prior_entropy: 1.3842, recall: 0.6703, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.9695, scimark_benchmark: 1363.454, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.647, f_measure: 0.5483, kappa: -0.0001, kb_relative_information_score: 43.3088, mean_absolute_error: 0.236, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5062, predictive_accuracy: 0.6676, prior_entropy: 1.3842, recall: 0.6676, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3427, root_relative_squared_error: 0.978, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6829, kappa: 0.3426, kb_relative_information_score: 233.7097, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6628, predictive_accuracy: 0.7149, prior_entropy: 1.3842, recall: 0.7149, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0172, scimark_benchmark: 1073.494, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.6706, kappa: 0.3161, kb_relative_information_score: 217.9911, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.6496, predictive_accuracy: 0.7027, prior_entropy: 1.3842, recall: 0.7027, relative_absolute_error: 0.6247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.9888, scimark_benchmark: 924.3698, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4497, f_measure: 0.5482, kappa: -0.0066, kb_relative_information_score: 18.1962, mean_absolute_error: 0.2441, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5084, predictive_accuracy: 0.6392, prior_entropy: 1.3842, recall: 0.6392, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3747, root_relative_squared_error: 1.0693, scimark_benchmark: 939.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6215, kappa: 0.1919, kb_relative_information_score: -31.4624, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5806, predictive_accuracy: 0.6797, prior_entropy: 1.3842, recall: 0.6797, relative_absolute_error: 1.1159, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.018, scimark_benchmark: 915.9693, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6215, kappa: 0.1919, kb_relative_information_score: -31.4624, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5806, predictive_accuracy: 0.6797, prior_entropy: 1.3842, recall: 0.6797, relative_absolute_error: 1.1159, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.018, scimark_benchmark: 1307.4861, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6215, kappa: 0.1919, kb_relative_information_score: -31.4624, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5806, predictive_accuracy: 0.6797, prior_entropy: 1.3842, recall: 0.6797, relative_absolute_error: 1.1159, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.018, scimark_benchmark: 1372.2145, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6215, kappa: 0.1919, kb_relative_information_score: -31.4624, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5806, predictive_accuracy: 0.6797, prior_entropy: 1.3842, recall: 0.6797, relative_absolute_error: 1.1159, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.018, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.6215, kappa: 0.1919, kb_relative_information_score: -31.4624, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5806, predictive_accuracy: 0.6797, prior_entropy: 1.3842, recall: 0.6797, relative_absolute_error: 1.1159, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3567, root_relative_squared_error: 1.018, scimark_benchmark: 1304.6687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.5974, kappa: 0.1413, kb_relative_information_score: 84.8386, mean_absolute_error: 0.217, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5577, predictive_accuracy: 0.6473, prior_entropy: 1.3842, recall: 0.6473, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3653, root_relative_squared_error: 1.0425, scimark_benchmark: 944.5495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5973, kappa: 0.1598, kb_relative_information_score: 62.8147, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5692, predictive_accuracy: 0.6284, prior_entropy: 1.3842, recall: 0.6284, relative_absolute_error: 0.8979, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3914, root_relative_squared_error: 1.117, scimark_benchmark: 916.5955, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.5449, kb_relative_information_score: -83.0177, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.1493, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.0553, scimark_benchmark: 923.6051, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.5738, kappa: 0.0683, kb_relative_information_score: -108.2039, mean_absolute_error: 0.2977, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.592, predictive_accuracy: 0.6378, prior_entropy: 1.3842, recall: 0.6378, relative_absolute_error: 1.182, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.085, scimark_benchmark: 915.9324, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.5567, kappa: 0.0499, kb_relative_information_score: 52.2255, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5157, predictive_accuracy: 0.6108, prior_entropy: 1.3842, recall: 0.6108, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3692, root_relative_squared_error: 1.0534, scimark_benchmark: 895.5332, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5597, f_measure: 0.519, kappa: 0.0767, kb_relative_information_score: -38.1797, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5671, predictive_accuracy: 0.4784, prior_entropy: 1.3842, recall: 0.4784, relative_absolute_error: 1.0354, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.5107, root_relative_squared_error: 1.4574, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.6155, kappa: 0.1889, kb_relative_information_score: 109.3947, mean_absolute_error: 0.2078, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5936, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3749, root_relative_squared_error: 1.0699, scimark_benchmark: 1361.1055, usercpu_time_millis: 940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.6221, kappa: 0.1924, kb_relative_information_score: 108.9959, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5865, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.9494, scimark_benchmark: 1336.2509, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5832, f_measure: 0.5786, kappa: 0.1333, kb_relative_information_score: 85.0916, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5739, predictive_accuracy: 0.5838, prior_entropy: 1.3842, recall: 0.5838, relative_absolute_error: 0.8261, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4562, root_relative_squared_error: 1.3018, scimark_benchmark: 1313.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.5835, kappa: 0.0823, kb_relative_information_score: 46.5442, mean_absolute_error: 0.2336, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5488, predictive_accuracy: 0.6703, prior_entropy: 1.3842, recall: 0.6703, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3543, root_relative_squared_error: 1.0111, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5342, f_measure: 0.589, kappa: 0.0977, kb_relative_information_score: 46.854, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5498, predictive_accuracy: 0.6676, prior_entropy: 1.3842, recall: 0.6676, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3544, root_relative_squared_error: 1.0113, scimark_benchmark: 1290.1085, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.5681, kappa: 0.082, kb_relative_information_score: 102.8746, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5381, predictive_accuracy: 0.6041, prior_entropy: 1.3842, recall: 0.6041, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4449, root_relative_squared_error: 1.2697, scimark_benchmark: 1306.6379, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.1015, kappa: 0.0084, kb_relative_information_score: -290.6626, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.723, predictive_accuracy: 0.2284, prior_entropy: 1.3842, recall: 0.2284, relative_absolute_error: 1.5316, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.7725, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5584, f_measure: 0.5886, kappa: 0.1554, kb_relative_information_score: 89.0669, mean_absolute_error: 0.2142, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5829, predictive_accuracy: 0.5946, prior_entropy: 1.3842, recall: 0.5946, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4335, root_relative_squared_error: 1.2371, scimark_benchmark: 1339.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5823, f_measure: 0.619, kappa: 0.1808, kb_relative_information_score: 191.2928, mean_absolute_error: 0.1608, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5795, predictive_accuracy: 0.6784, prior_entropy: 1.3842, recall: 0.6784, relative_absolute_error: 0.6384, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.401, root_relative_squared_error: 1.1444, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5987, f_measure: 0.6093, kappa: 0.184, kb_relative_information_score: 148.089, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5841, predictive_accuracy: 0.6378, prior_entropy: 1.3842, recall: 0.6378, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4255, root_relative_squared_error: 1.2143, scimark_benchmark: 1418.5826, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4132, f_measure: 0.5449, kb_relative_information_score: -4.2639, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.4565, predictive_accuracy: 0.6757, prior_entropy: 1.3842, recall: 0.6757, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3515, root_relative_squared_error: 1.0032, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5424, f_measure: 0.5557, kappa: 0.0967, kb_relative_information_score: 45.3908, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5541, predictive_accuracy: 0.5581, prior_entropy: 1.3842, recall: 0.5581, relative_absolute_error: 0.9152, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.2596, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, build_cpu_time: 0.9709, build_memory: 731491141.2108, f_measure: 0.5792, kappa: 0.0825, kb_relative_information_score: 116.3694, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5645, predictive_accuracy: 0.6486, prior_entropy: 1.3842, recall: 0.6486, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.9615, scimark_benchmark: 799.6752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, build_cpu_time: 1.265, build_memory: 337382496.7568, f_measure: 0.5567, kappa: 0.027, kb_relative_information_score: 117.9261, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5042, predictive_accuracy: 0.6365, prior_entropy: 1.3842, recall: 0.6365, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.9598, scimark_benchmark: 942.6372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, build_cpu_time: 0.4871, build_memory: 142253295.2865, f_measure: 0.6033, kappa: 0.1615, kb_relative_information_score: 73.8566, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5662, predictive_accuracy: 0.6473, prior_entropy: 1.3842, recall: 0.6473, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3492, root_relative_squared_error: 0.9964, scimark_benchmark: 947.6496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, build_cpu_time: 0.2621, build_memory: 3035901020.2487, f_measure: 0.6026, kappa: 0.1613, kb_relative_information_score: 70.8945, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5669, predictive_accuracy: 0.6446, prior_entropy: 1.3842, recall: 0.6446, relative_absolute_error: 0.8775, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.002, scimark_benchmark: 945.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, build_cpu_time: 0.1475, build_memory: 568912373.8486, f_measure: 0.6013, kappa: 0.1553, kb_relative_information_score: 66.4829, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5639, predictive_accuracy: 0.6459, prior_entropy: 1.3842, recall: 0.6459, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.3523, root_relative_squared_error: 1.0055, scimark_benchmark: 944.0949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, build_cpu_time: 0.0752, build_memory: 1979764904.4757, f_measure: 0.6048, kappa: 0.1662, kb_relative_information_score: 69.143, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.2519, number_of_instances: 740, precision: 0.5816, predictive_accuracy: 0.6432, prior_entropy: 1.3842, recall: 0.6432, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.3504, root_mean_squared_error: 0.355, root_relative_squared_error: 1.0129, scimark_benchmark: 896.1013,

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