OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13172 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13172 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.0617, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -14.9677, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.0236, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9699, kappa: 0.9389, kb_relative_information_score: 319.2225, mean_absolute_error: 0.2116, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9711, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.8823, kappa: 0.7609, kb_relative_information_score: 94.6488, mean_absolute_error: 0.4238, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8914, predictive_accuracy: 0.884, prior_entropy: 0.991, recall: 0.884, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 7.9702, mean_absolute_error: 0.4874, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.9412, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.5487, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6728, kappa: 0.3358, kb_relative_information_score: 43.0002, mean_absolute_error: 0.461, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6725, predictive_accuracy: 0.674, prior_entropy: 0.991, recall: 0.674, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.2865, mean_absolute_error: 0.492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.4878, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.6296, mean_absolute_error: 0.4941, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.4889, mean_absolute_error: 0.4918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.8654, mean_absolute_error: 0.4736, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.8053, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.4185, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.1761, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.509, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, kb_relative_information_score: 25.5093, mean_absolute_error: 0.4759, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4791, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, kb_relative_information_score: 10.1761, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4889, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.748, mean_absolute_error: 0.4932, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.6714, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.9282, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.8568, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4995, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -15.9042, mean_absolute_error: 0.5045, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.506, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, kb_relative_information_score: -3.4385, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.8547, kappa: 0.7071, kb_relative_information_score: 65.8831, mean_absolute_error: 0.4467, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8882, predictive_accuracy: 0.86, prior_entropy: 0.991, recall: 0.86, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4496, root_relative_squared_error: 0.9049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8525, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.1937, mean_absolute_error: 0.4913, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.7338, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8525, kappa: 0.7028, kb_relative_information_score: 48.8211, mean_absolute_error: 0.4593, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8869, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.057, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0118, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9359, kappa: 0.87, kb_relative_information_score: 349.9468, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9361, predictive_accuracy: 0.936, prior_entropy: 0.991, recall: 0.936, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.4514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.3332, mean_absolute_error: 0.4862, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9847, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 296.1227, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.4878, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.5047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, kb_relative_information_score: -6.2064, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.6452, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.5723, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4975, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.6554, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3998, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.3937, mean_absolute_error: 0.494, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, kb_relative_information_score: -7.9504, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, kb_relative_information_score: -1.5811, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -12.1413, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9122, kappa: 0.8226, kb_relative_information_score: 325.5724, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9131, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 4.8482, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, kb_relative_information_score: 2.8222, mean_absolute_error: 0.4916, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.0144, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, kb_relative_information_score: 3.9003, mean_absolute_error: 0.4907, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, kb_relative_information_score: 25.5756, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9634, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.479, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, kb_relative_information_score: 4.955, mean_absolute_error: 0.4899, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -10.3927, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.7909, kappa: 0.5845, kb_relative_information_score: 111.623, mean_absolute_error: 0.405, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8551, predictive_accuracy: 0.804, prior_entropy: 0.991, recall: 0.804, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.0998, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.6668, kappa: 0.3666, kb_relative_information_score: 63.5867, mean_absolute_error: 0.4464, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8085, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9539, kappa: 0.9064, kb_relative_information_score: 382.2594, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9544, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.271, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -8.3295, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4992, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -12.6621, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.9192, mean_absolute_error: 0.4956, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -3.7467, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.7281, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.736, kappa: 0.4653, kb_relative_information_score: 112.3191, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.736, predictive_accuracy: 0.736, prior_entropy: 0.991, recall: 0.736, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.6832, kappa: 0.3571, kb_relative_information_score: 100.7293, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6829, predictive_accuracy: 0.684, prior_entropy: 0.991, recall: 0.684, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, kb_relative_information_score: 9.4475, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.2504, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.7252, mean_absolute_error: 0.4924, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.5572, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.346, mean_absolute_error: 0.4911, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1805, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.5532, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -4.284, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.7056, kappa: 0.4082, kb_relative_information_score: 104.4924, mean_absolute_error: 0.4037, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7313, predictive_accuracy: 0.718, prior_entropy: 0.991, recall: 0.718, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.78, mean_absolute_error: 0.4942, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9476, kappa: 0.8935, kb_relative_information_score: 263.8616, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9517, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.5409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, kb_relative_information_score: 3.0177, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 132.0046, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.7936, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -27.354, mean_absolute_error: 0.5136, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0402, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5276, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 8.4339, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5005, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.4232, mean_absolute_error: 0.4927, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1741, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 13.7935, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5073, root_relative_squared_error: 1.0209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.257, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.5678, mean_absolute_error: 0.486, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -25.2627, mean_absolute_error: 0.5118, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0366, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5225, root_relative_squared_error: 1.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8568, kappa: 0.7091, kb_relative_information_score: -8.6285, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8601, predictive_accuracy: 0.858, prior_entropy: 0.991, recall: 0.858, relative_absolute_error: 1.0112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.9889, mean_absolute_error: 0.4784, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.0373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.006, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, kb_relative_information_score: -0.0233, mean_absolute_error: 0.4938, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 437.8564, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.4462, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, kb_relative_information_score: 15.325, mean_absolute_error: 0.481, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.7889, mean_absolute_error: 0.4955, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9139, kappa: 0.8256, kb_relative_information_score: 346.8452, mean_absolute_error: 0.1651, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9139, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.3343, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2575, root_relative_squared_error: 0.5183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1678, mean_absolute_error: 0.4889, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5309, kb_relative_information_score: -6.2535, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4981, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.902, kappa: 0.8012, kb_relative_information_score: 191.3449, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9181, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.6831, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.8128, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, kb_relative_information_score: 6.0104, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4931, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9168, kappa: 0.8311, kb_relative_information_score: 276.8205, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9264, predictive_accuracy: 0.918, prior_entropy: 0.991, recall: 0.918, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2856, root_relative_squared_error: 0.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -2.0976, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0003,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs