Task
Supervised Data Stream Classification on BNG(autos)

Supervised Data Stream Classification on BNG(autos)

Task 2131 Supervised Data Stream Classification BNG(autos) 47 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8482, f_measure: 0.5717, kappa: 0.4553, kb_relative_information_score: 525755.7163, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5875, predictive_accuracy: 0.5948, prior_entropy: 2.8074, recall: 0.5948, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.7931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.6, kappa: 0.4895, kb_relative_information_score: 567702.6645, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5983, predictive_accuracy: 0.6062, prior_entropy: 2.8074, recall: 0.6062, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.7903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76583.4082, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.5248, kappa: 0.4128, kb_relative_information_score: 280128.879, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5808, predictive_accuracy: 0.567, prior_entropy: 2.8074, recall: 0.567, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3179, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61041.593, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.6523, kappa: 0.5561, kb_relative_information_score: 606502.5441, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6523, predictive_accuracy: 0.6611, prior_entropy: 2.8074, recall: 0.6611, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.257, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.5865, kappa: 0.4723, kb_relative_information_score: 521191.9024, mean_absolute_error: 0.1541, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5926, predictive_accuracy: 0.6037, prior_entropy: 2.8074, recall: 0.6037, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2765, root_relative_squared_error: 0.7902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.5805, kappa: 0.4634, kb_relative_information_score: 547323.1074, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5766, predictive_accuracy: 0.5875, prior_entropy: 2.8074, recall: 0.5875, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.283, root_relative_squared_error: 0.8088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76583.4082, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61029.5701, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5298, root_relative_squared_error: 1.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61043.7514, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.6239, kappa: 0.5199, kb_relative_information_score: 564435.8727, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6203, predictive_accuracy: 0.6339, prior_entropy: 2.8074, recall: 0.6339, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.6052, kappa: 0.4943, kb_relative_information_score: 279119.9975, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6032, predictive_accuracy: 0.6154, prior_entropy: 2.8074, recall: 0.6154, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.9042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.3176, kappa: 0.1918, kb_relative_information_score: 341891.6495, mean_absolute_error: 0.1991, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2515, predictive_accuracy: 0.4308, prior_entropy: 2.8074, recall: 0.4308, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5499, f_measure: 0.3072, kappa: 0.0987, kb_relative_information_score: 269417.0493, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2996, predictive_accuracy: 0.323, prior_entropy: 2.8074, recall: 0.323, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4398, root_relative_squared_error: 1.2568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.589, kappa: 0.475, kb_relative_information_score: 510495.5163, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5877, predictive_accuracy: 0.6022, prior_entropy: 2.8074, recall: 0.6022, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.0353, kappa: 0.0066, kb_relative_information_score: 113969.1946, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3797, predictive_accuracy: 0.029, prior_entropy: 2.8074, recall: 0.029, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.1871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.4193, kappa: 0.2834, kb_relative_information_score: 357454.7355, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4421, predictive_accuracy: 0.4833, prior_entropy: 2.8074, recall: 0.4833, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.317, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.5997, kappa: 0.489, kb_relative_information_score: 567392.6845, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.598, predictive_accuracy: 0.6058, prior_entropy: 2.8074, recall: 0.6058, relative_absolute_error: 0.5495, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.7907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.3177, kappa: 0.1919, kb_relative_information_score: 336869.1276, mean_absolute_error: 0.2008, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.3915, predictive_accuracy: 0.4311, prior_entropy: 2.8074, recall: 0.4311, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.9056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.6552, kappa: 0.5569, kb_relative_information_score: 607232.4187, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6529, predictive_accuracy: 0.659, prior_entropy: 2.8074, recall: 0.659, relative_absolute_error: 0.5005, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.7521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7036, f_measure: 0.5037, kappa: 0.3578, kb_relative_information_score: 473304.729, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5041, predictive_accuracy: 0.5098, prior_entropy: 2.8074, recall: 0.5098, relative_absolute_error: 0.6303, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3374, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.6555, kappa: 0.5573, kb_relative_information_score: 607572.1118, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6532, predictive_accuracy: 0.6593, prior_entropy: 2.8074, ram_hours: 0.0001, recall: 0.6593, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.752, run_cpu_time: 51.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.6653, kappa: 0.5707, kb_relative_information_score: 599732.0051, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6624, predictive_accuracy: 0.6701, prior_entropy: 2.8074, ram_hours: 0.1016, recall: 0.6701, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2536, root_relative_squared_error: 0.7246, run_cpu_time: 2064.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8694, f_measure: 0.6335, kappa: 0.5301, kb_relative_information_score: 586418.3683, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6297, predictive_accuracy: 0.639, prior_entropy: 2.8074, ram_hours: 0.0008, recall: 0.639, relative_absolute_error: 0.5295, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.7609, run_cpu_time: 600.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.5794, kappa: 0.4553, kb_relative_information_score: 278431.24, mean_absolute_error: 0.2145, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5802, predictive_accuracy: 0.5829, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5829, relative_absolute_error: 0.876, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.9076, run_cpu_time: 14.8073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8279, f_measure: 0.5565, kappa: 0.4324, kb_relative_information_score: 521915.2768, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5638, predictive_accuracy: 0.5768, prior_entropy: 2.8074, ram_hours: 0.0009, recall: 0.5768, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.8098, run_cpu_time: 5216.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76583.4082, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, ram_hours: 0.0063, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257, run_cpu_time: 109.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.1583, kappa: 0, kb_relative_information_score: 219590.693, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.1756, predictive_accuracy: 0.3236, prior_entropy: 2.8074, ram_hours: 0, recall: 0.3236, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.9499, run_cpu_time: 9.1098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.4136, kappa: 0.2506, kb_relative_information_score: 362227.088, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4304, predictive_accuracy: 0.4406, prior_entropy: 2.8074, ram_hours: 0, recall: 0.4406, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.9444, run_cpu_time: 13.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.671, kappa: 0.5787, kb_relative_information_score: 620178.0358, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6683, predictive_accuracy: 0.6764, prior_entropy: 2.8074, ram_hours: 0.0026, recall: 0.6764, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.7204, run_cpu_time: 344.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0006, kappa: -0, kb_relative_information_score: -61044.8307, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.0003, predictive_accuracy: 0.0168, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0168, relative_absolute_error: 1.147, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.53, root_relative_squared_error: 1.5146, run_cpu_time: 9.6074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.5466, kappa: 0.4206, kb_relative_information_score: 481698.1492, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5483, predictive_accuracy: 0.5633, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5633, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.8214, run_cpu_time: 26.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.3804, kappa: 0.2209, kb_relative_information_score: 339597.3266, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.4329, predictive_accuracy: 0.4409, prior_entropy: 2.8074, ram_hours: 0.977, recall: 0.4409, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.8955, run_cpu_time: 3371.1591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.5998, kappa: 0.4892, kb_relative_information_score: 567610.9137, mean_absolute_error: 0.1345, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5981, predictive_accuracy: 0.6059, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6059, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.7908, run_cpu_time: 21.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.6698, kappa: 0.5773, kb_relative_information_score: 621131.3881, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6672, predictive_accuracy: 0.6751, prior_entropy: 2.8074, ram_hours: 0.0019, recall: 0.6751, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.7223, run_cpu_time: 230.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.2259, kappa: -0.0008, kb_relative_information_score: 164591.5472, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.2259, predictive_accuracy: 0.2259, prior_entropy: 2.8074, ram_hours: 0, recall: 0.2259, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.4703, root_relative_squared_error: 1.344, run_cpu_time: 6.756,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.6555, kappa: 0.5573, kb_relative_information_score: 607572.1118, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6532, predictive_accuracy: 0.6593, prior_entropy: 2.8074, ram_hours: 0, recall: 0.6593, relative_absolute_error: 0.5, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.752, run_cpu_time: 31.7327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.667, kappa: 0.5731, kb_relative_information_score: 610478.4434, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.6642, predictive_accuracy: 0.6717, prior_entropy: 2.8074, ram_hours: 0.0016, recall: 0.6717, relative_absolute_error: 0.5146, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.7223, run_cpu_time: 255.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0, kb_relative_information_score: -76583.4082, mean_absolute_error: 0.285, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0, predictive_accuracy: 0.0024, prior_entropy: 2.8074, ram_hours: 0, recall: 0.0024, relative_absolute_error: 1.1638, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.5339, root_relative_squared_error: 1.5257, run_cpu_time: 7.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.5554, kappa: 0.4308, kb_relative_information_score: 521877.9437, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.563, predictive_accuracy: 0.5757, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5757, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.8101, run_cpu_time: 238.2731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.5616, kappa: 0.4369, kb_relative_information_score: 529049.5619, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2449, number_of_instances: 1000000, precision: 0.5624, predictive_accuracy: 0.5631, prior_entropy: 2.8074, ram_hours: 0, recall: 0.5631, relative_absolute_error: 0.5822, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8407, run_cpu_time: 38.7061,

    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

    Given a dataset with a nominal target, various data samples of increasing size are defined. A model is build for each individual data sample; from this a learning curve can be drawn.

    Given inputs

    Expected outputs

    evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
    predictions The desired output format Predictions (optional)

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