OpenML
Supervised Classification on wilt

Supervised Classification on wilt

Task 9889 Supervised Classification wilt 59008 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.981, kappa: 0.8044, kb_relative_information_score: 2812.973, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9813, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.5068, scimark_benchmark: 1292.2625, usercpu_time_millis: 147.913, usercpu_time_millis_testing: 9.105, usercpu_time_millis_training: 138.808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9846, kappa: 0.8464, kb_relative_information_score: 3084.686, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3037, recall: 0.9849, relative_absolute_error: 0.2489, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.107, root_relative_squared_error: 0.4736, scimark_benchmark: 1320.5485, usercpu_time_millis: 161, usercpu_time_millis_testing: 6.493, usercpu_time_millis_training: 154.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9698, kappa: 0.6825, kb_relative_information_score: 1411.3342, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.97, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.5033, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.6478, scimark_benchmark: 1296.7468, usercpu_time_millis: 97.575, usercpu_time_millis_testing: 7.225, usercpu_time_millis_training: 90.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9773, kappa: 0.7637, kb_relative_information_score: 2318.3388, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9777, predictive_accuracy: 0.9787, prior_entropy: 0.3037, recall: 0.9787, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1227, root_relative_squared_error: 0.5433, scimark_benchmark: 1327.2769, usercpu_time_millis: 71.748, usercpu_time_millis_testing: 5.073, usercpu_time_millis_training: 66.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9819, kappa: 0.8152, kb_relative_information_score: 2743.4783, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9819, predictive_accuracy: 0.9826, prior_entropy: 0.3037, recall: 0.9826, relative_absolute_error: 0.3129, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.5083, scimark_benchmark: 1329.0883, usercpu_time_millis: 51.612, usercpu_time_millis_testing: 2.698, usercpu_time_millis_training: 48.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9829, kappa: 0.8261, kb_relative_information_score: 2926.3552, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9828, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2865, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.485, scimark_benchmark: 1304.9045, usercpu_time_millis: 73.756, usercpu_time_millis_testing: 3.339, usercpu_time_millis_training: 70.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9804, kappa: 0.7981, kb_relative_information_score: 2792.1966, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3246, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.507, scimark_benchmark: 1327.3209, usercpu_time_millis: 26.285, usercpu_time_millis_testing: 1.253, usercpu_time_millis_training: 25.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.9198, kb_relative_information_score: -12.409, mean_absolute_error: 0.1021, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1330.9456, usercpu_time_millis: 39.721, usercpu_time_millis_testing: 4.061, usercpu_time_millis_training: 35.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9796, kappa: 0.7867, kb_relative_information_score: 2677.7532, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9804, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.355, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1193, root_relative_squared_error: 0.5282, scimark_benchmark: 1307.3831, usercpu_time_millis: 153.463, usercpu_time_millis_testing: 9.312, usercpu_time_millis_training: 144.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.9474, kappa: 0.3827, kb_relative_information_score: 512.6249, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9595, predictive_accuracy: 0.9591, prior_entropy: 0.3037, recall: 0.9591, relative_absolute_error: 0.6912, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.17, root_relative_squared_error: 0.7524, scimark_benchmark: 1328.7197, usercpu_time_millis: 48.225, usercpu_time_millis_testing: 4.882, usercpu_time_millis_training: 43.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9699, kappa: 0.686, kb_relative_information_score: 1309.832, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9697, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4718, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1469, root_relative_squared_error: 0.6501, scimark_benchmark: 1329.4504, usercpu_time_millis: 37.435, usercpu_time_millis_testing: 2.065, usercpu_time_millis_training: 35.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9681, kappa: 0.6532, kb_relative_information_score: 1684.858, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9708, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.6216, scimark_benchmark: 1324.7137, usercpu_time_millis: 81.59, usercpu_time_millis_testing: 4.908, usercpu_time_millis_training: 76.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9198, kb_relative_information_score: -16.5721, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.7568, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.8002, scimark_benchmark: 1319.737, usercpu_time_millis: 26.57, usercpu_time_millis_testing: 1.882, usercpu_time_millis_training: 24.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: -38.9584, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1322.2268, usercpu_time_millis: 5.595, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 5.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.9198, kb_relative_information_score: -1438.6389, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.8796, scimark_benchmark: 1330.8097, usercpu_time_millis: 37.313, usercpu_time_millis_testing: 2.75, usercpu_time_millis_training: 34.563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9799, kappa: 0.7927, kb_relative_information_score: 2689.3059, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9802, predictive_accuracy: 0.981, prior_entropy: 0.3037, recall: 0.981, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.116, root_relative_squared_error: 0.5136, scimark_benchmark: 1331.6734, usercpu_time_millis: 63.489, usercpu_time_millis_testing: 4.486, usercpu_time_millis_training: 59.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9385, kappa: 0.2607, kb_relative_information_score: 180.8025, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9566, predictive_accuracy: 0.9545, prior_entropy: 0.3037, recall: 0.9545, relative_absolute_error: 0.7148, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.7696, scimark_benchmark: 1336.909, usercpu_time_millis: 15.204, usercpu_time_millis_testing: 1.239, usercpu_time_millis_training: 13.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9803, kappa: 0.7964, kb_relative_information_score: 2682.7397, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.511, scimark_benchmark: 1319.9659, usercpu_time_millis: 90.729, usercpu_time_millis_testing: 5.905, usercpu_time_millis_training: 84.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9813, kappa: 0.809, kb_relative_information_score: 2858.1143, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9812, predictive_accuracy: 0.982, prior_entropy: 0.3037, recall: 0.982, relative_absolute_error: 0.2867, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.5105, scimark_benchmark: 1334.0582, usercpu_time_millis: 3.144, usercpu_time_millis_testing: 0.156, usercpu_time_millis_training: 2.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, f_measure: 0.9198, kb_relative_information_score: 5.2556, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2259, root_relative_squared_error: 1, scimark_benchmark: 1302.8807, usercpu_time_millis: 33.281, usercpu_time_millis_testing: 4.763, usercpu_time_millis_training: 28.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9832, kappa: 0.8319, kb_relative_information_score: 2816.7695, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.983, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5005, scimark_benchmark: 1297.441, usercpu_time_millis: 88.105, usercpu_time_millis_testing: 3.186, usercpu_time_millis_training: 84.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9668, kappa: 0.638, kb_relative_information_score: 1086.0375, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.6869, scimark_benchmark: 1288.9155, usercpu_time_millis: 31.934, usercpu_time_millis_testing: 2.228, usercpu_time_millis_training: 29.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9592, kappa: 0.5412, kb_relative_information_score: 670.6307, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9643, predictive_accuracy: 0.9657, prior_entropy: 0.3037, recall: 0.9657, relative_absolute_error: 0.6542, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.7326, scimark_benchmark: 1301.0782, usercpu_time_millis: 26.901, usercpu_time_millis_testing: 1.858, usercpu_time_millis_training: 25.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9487, kappa: 0.4004, kb_relative_information_score: 390.1155, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.3037, recall: 0.9597, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.7639, scimark_benchmark: 1280.4559, usercpu_time_millis: 23.541, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 21.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9824, kappa: 0.8193, kb_relative_information_score: 2856.4986, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9827, predictive_accuracy: 0.9833, prior_entropy: 0.3037, recall: 0.9833, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.114, root_relative_squared_error: 0.5048, scimark_benchmark: 1290.0824, usercpu_time_millis: 153.868, usercpu_time_millis_testing: 8.163, usercpu_time_millis_training: 145.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9707, kappa: 0.6919, kb_relative_information_score: 1789.1663, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9709, predictive_accuracy: 0.9729, prior_entropy: 0.3037, recall: 0.9729, relative_absolute_error: 0.4726, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.6146, scimark_benchmark: 1281.0338, usercpu_time_millis: 90.77, usercpu_time_millis_testing: 4.862, usercpu_time_millis_training: 85.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9822, kappa: 0.8185, kb_relative_information_score: 2541.0715, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9822, predictive_accuracy: 0.9828, prior_entropy: 0.3037, recall: 0.9828, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.52, scimark_benchmark: 1335.5287, usercpu_time_millis: 226.899, usercpu_time_millis_testing: 8.947, usercpu_time_millis_training: 217.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9843, kappa: 0.8416, kb_relative_information_score: 2984.0172, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9842, predictive_accuracy: 0.9847, prior_entropy: 0.3037, recall: 0.9847, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1084, root_relative_squared_error: 0.48, scimark_benchmark: 1296.4644, usercpu_time_millis: 46.059, usercpu_time_millis_testing: 2.718, usercpu_time_millis_training: 43.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9685, kappa: 0.6756, kb_relative_information_score: 903.4253, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.968, predictive_accuracy: 0.9702, prior_entropy: 0.3037, recall: 0.9702, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.7053, scimark_benchmark: 1298.7266, usercpu_time_millis: 37.698, usercpu_time_millis_testing: 1.952, usercpu_time_millis_training: 35.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9778, f_measure: 0.9708, kappa: 0.6923, kb_relative_information_score: 1286.0402, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9712, predictive_accuracy: 0.9731, prior_entropy: 0.3037, recall: 0.9731, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.6612, scimark_benchmark: 1314.6237, usercpu_time_millis: 97.373, usercpu_time_millis_testing: 6.52, usercpu_time_millis_training: 90.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.9198, kb_relative_information_score: -3394.7576, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9714, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.982, scimark_benchmark: 1301.2577, usercpu_time_millis: 15.121, usercpu_time_millis_testing: 1.351, usercpu_time_millis_training: 13.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.9198, kb_relative_information_score: -1330.8808, mean_absolute_error: 0.0943, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.895, predictive_accuracy: 0.9461, prior_entropy: 0.3037, recall: 0.9461, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.9336, scimark_benchmark: 1283.1335, usercpu_time_millis: 34.931, usercpu_time_millis_testing: 3.359, usercpu_time_millis_training: 31.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9675, kappa: 0.6418, kb_relative_information_score: 2025.7519, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.618, scimark_benchmark: 1286.2012, usercpu_time_millis: 76.592, usercpu_time_millis_testing: 6.506, usercpu_time_millis_training: 70.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9833, kappa: 0.8317, kb_relative_information_score: 2908.4726, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9833, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2779, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.4887, scimark_benchmark: 1298.0772, usercpu_time_millis: 21.528, usercpu_time_millis_testing: 0.957, usercpu_time_millis_training: 20.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9835, kappa: 0.8336, kb_relative_information_score: 3015.214, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9841, prior_entropy: 0.3037, recall: 0.9841, relative_absolute_error: 0.2723, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1092, root_relative_squared_error: 0.4833, scimark_benchmark: 1293.4993, usercpu_time_millis: 57.887, usercpu_time_millis_testing: 2.923, usercpu_time_millis_training: 54.964,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9665, kappa: 0.6312, kb_relative_information_score: 1923.8595, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6801, scimark_benchmark: 1736.075, usercpu_time_millis: 0.718, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.952, kappa: 0.4434, kb_relative_information_score: 1234.4998, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9623, predictive_accuracy: 0.9618, prior_entropy: 0.3037, recall: 0.9618, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.7299, scimark_benchmark: 1750.1358, usercpu_time_millis: 0.867, usercpu_time_millis_testing: 0.857, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9659, kappa: 0.6224, kb_relative_information_score: 1854.4531, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6828, scimark_benchmark: 1856.624, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.629, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9492, kappa: 0.4066, kb_relative_information_score: 1101.4991, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9606, predictive_accuracy: 0.9601, prior_entropy: 0.3037, recall: 0.9601, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.7407, scimark_benchmark: 1760.9717, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.863, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9499, kappa: 0.4159, kb_relative_information_score: 1125.6274, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.961, predictive_accuracy: 0.9605, prior_entropy: 0.3037, recall: 0.9605, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.7387, scimark_benchmark: 1077.3826, usercpu_time_millis: 1.104, usercpu_time_millis_testing: 1.086, usercpu_time_millis_training: 0.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9665, kappa: 0.6312, kb_relative_information_score: 1923.8595, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6801, scimark_benchmark: 1246.0771, usercpu_time_millis: 0.947, usercpu_time_millis_testing: 0.932, usercpu_time_millis_training: 0.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.968, kappa: 0.65, kb_relative_information_score: 2106.5349, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.6767, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.581, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9686, kappa: 0.6583, kb_relative_information_score: 2222.833, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.153, root_relative_squared_error: 0.6774, scimark_benchmark: 1239.2829, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.875, usercpu_time_millis_training: 0.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.955, kappa: 0.483, kb_relative_information_score: 1350.3263, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9641, predictive_accuracy: 0.9636, prior_entropy: 0.3037, recall: 0.9636, relative_absolute_error: 0.4856, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7204, scimark_benchmark: 1842.582, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9659, kappa: 0.6224, kb_relative_information_score: 1854.4531, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6828, scimark_benchmark: 1817.3701, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.623, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.9686, kappa: 0.6583, kb_relative_information_score: 2222.833, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9713, predictive_accuracy: 0.9723, prior_entropy: 0.3037, recall: 0.9723, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.153, root_relative_squared_error: 0.6774, scimark_benchmark: 1302.4359, usercpu_time_millis: 0.631, usercpu_time_millis_testing: 0.619, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 2405.1913, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6812, scimark_benchmark: 1821.9339, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.595, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8837, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 2405.1913, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.3426, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.6812, scimark_benchmark: 1077.9174, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.926, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.968, kappa: 0.65, kb_relative_information_score: 2106.5349, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.971, predictive_accuracy: 0.9719, prior_entropy: 0.3037, recall: 0.9719, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.6767, scimark_benchmark: 1083.3594, usercpu_time_millis: 0.944, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 0.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9659, kappa: 0.6224, kb_relative_information_score: 1854.4531, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6828, scimark_benchmark: 1734.8748, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9647, kappa: 0.6081, kb_relative_information_score: 1798.7466, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.3037, recall: 0.9698, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.155, root_relative_squared_error: 0.686, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.954, kappa: 0.47, kb_relative_information_score: 1294.1085, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9635, predictive_accuracy: 0.963, prior_entropy: 0.3037, recall: 0.963, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.7252, scimark_benchmark: 1873.019, usercpu_time_millis: 0.819, usercpu_time_millis_testing: 0.812, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9659, kappa: 0.6224, kb_relative_information_score: 1854.4531, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.3037, recall: 0.9707, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.6828, scimark_benchmark: 1513.8539, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 0.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9441, f_measure: 0.9582, kappa: 0.5256, kb_relative_information_score: 1517.2337, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9653, predictive_accuracy: 0.9655, prior_entropy: 0.3037, recall: 0.9655, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.7062, scimark_benchmark: 2166.284, usercpu_time_millis: 0.544, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 2524.3206, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.6915, scimark_benchmark: 1501.2037, usercpu_time_millis: 0.625, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 0.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9277, f_measure: 0.9665, kappa: 0.6312, kb_relative_information_score: 1923.8595, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9701, predictive_accuracy: 0.9709, prior_entropy: 0.3037, recall: 0.9709, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.6801, scimark_benchmark: 2150.9654, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.497, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.956, kappa: 0.4967, kb_relative_information_score: 1442.6161, mean_absolute_error: 0.0479, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9638, predictive_accuracy: 0.964, prior_entropy: 0.3037, recall: 0.964, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.7123, scimark_benchmark: 1722.7167, usercpu_time_millis: 0.913, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.9676, kappa: 0.6604, kb_relative_information_score: 2524.3206, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9675, predictive_accuracy: 0.97, prior_entropy: 0.3037, recall: 0.97, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.6915, scimark_benchmark: 1763.0675, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.585, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.955, kappa: 0.4841, kb_relative_information_score: 1379.8657, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9632, predictive_accuracy: 0.9634, prior_entropy: 0.3037, recall: 0.9634, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.7178, scimark_benchmark: 1776.8827, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.799, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.971, kappa: 0.701, kb_relative_information_score: 1841.2539, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9706, predictive_accuracy: 0.9725, prior_entropy: 0.3037, recall: 0.9725, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.6076, scimark_benchmark: 1735.3254, usercpu_time_millis: 40.237, usercpu_time_millis_testing: 2.161, usercpu_time_millis_training: 38.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9718, kappa: 0.6958, kb_relative_information_score: 2259.7228, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9741, predictive_accuracy: 0.9748, prior_entropy: 0.3037, recall: 0.9748, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.5815, scimark_benchmark: 1742.3495, usercpu_time_millis: 32.354, usercpu_time_millis_testing: 2.913, usercpu_time_millis_training: 29.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.7492, kb_relative_information_score: 2036.4704, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9744, predictive_accuracy: 0.9742, prior_entropy: 0.3037, recall: 0.9742, relative_absolute_error: 0.4031, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.6401, scimark_benchmark: 1873.0711, usercpu_time_millis: 39.84, usercpu_time_millis_testing: 1.622, usercpu_time_millis_training: 38.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9805, kappa: 0.8012, kb_relative_information_score: 2479.8204, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9806, predictive_accuracy: 0.9814, prior_entropy: 0.3037, recall: 0.9814, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.5272, scimark_benchmark: 1771.158, usercpu_time_millis: 28.61, usercpu_time_millis_testing: 1.779, usercpu_time_millis_training: 26.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9643, kappa: 0.6027, kb_relative_information_score: 1458.564, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9689, predictive_accuracy: 0.9694, prior_entropy: 0.3037, recall: 0.9694, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.6519, scimark_benchmark: 1729.0121, usercpu_time_millis: 25.673, usercpu_time_millis_testing: 2.589, usercpu_time_millis_training: 23.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9836, kappa: 0.8374, kb_relative_information_score: 3093.0281, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9835, predictive_accuracy: 0.9839, prior_entropy: 0.3037, recall: 0.9839, relative_absolute_error: 0.2326, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.4813, scimark_benchmark: 1745.1693, usercpu_time_millis: 26.579, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 25.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9679, kappa: 0.6469, kb_relative_information_score: 1999.1689, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9719, predictive_accuracy: 0.9721, prior_entropy: 0.3037, recall: 0.9721, relative_absolute_error: 0.4907, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1391, root_relative_squared_error: 0.616, scimark_benchmark: 1744.4636, usercpu_time_millis: 21.557, usercpu_time_millis_testing: 2.07, usercpu_time_millis_training: 19.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9743, kappa: 0.7262, kb_relative_information_score: 2208.8937, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9758, predictive_accuracy: 0.9766, prior_entropy: 0.3037, recall: 0.9766, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.5684, scimark_benchmark: 1725.2907, usercpu_time_millis: 22.528, usercpu_time_millis_testing: 2.294, usercpu_time_millis_training: 20.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9673, kappa: 0.64, kb_relative_information_score: 1806.3544, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9714, predictive_accuracy: 0.9717, prior_entropy: 0.3037, recall: 0.9717, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.6236, scimark_benchmark: 1742.6937, usercpu_time_millis: 21.976, usercpu_time_millis_testing: 2.358, usercpu_time_millis_training: 19.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9831, kappa: 0.8307, kb_relative_information_score: 2765.6027, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1022, number_of_instances: 4839, precision: 0.9829, predictive_accuracy: 0.9835, prior_entropy: 0.3037, recall: 0.9835, relative_absolute_error: 0.292, root_mean_prior_squared_error: 0.2259, root_mean_squared_error: 0.1139, root_relative_squared_error: 0.504, scimark_benchmark: 1850.5475, usercpu_time_millis: 23.875, usercpu_time_millis_testing: 1.181, usercpu_time_millis_training: 22.694,

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

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