Task
Supervised Classification on kc2

Supervised Classification on kc2

Task 3913 Supervised Classification kc2 174023 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_98 study_99 under100k under1m
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174023 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 12.1587, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9709, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.8299, kappa: 0.4853, kb_relative_information_score: 122.5706, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8326, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -5.6532, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 15.0324, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 10.2549, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -6.1608, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 82.4288, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -1.7768, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 10.2127, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9755, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 20.6571, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -4.8056, mean_absolute_error: 0.3269, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7944, f_measure: 0.7962, kappa: 0.344, kb_relative_information_score: 88.3807, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7907, predictive_accuracy: 0.8084, prior_entropy: 0.734, recall: 0.8084, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, kb_relative_information_score: 60.9581, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7912, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.8983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.4753, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9965, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -1.8565, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -606.9764, mean_absolute_error: 0.5391, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 1.6506, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.3553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -196.6085, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1433, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, kb_relative_information_score: 59.3402, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.8796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.7788, kappa: 0.303, kb_relative_information_score: 82.5541, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7738, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.45, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, kb_relative_information_score: 50.3797, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.9393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 3.596, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 43.6244, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -82.4617, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0546, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 2.1479, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.8496, kappa: 0.521, kb_relative_information_score: 143.0518, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8476, predictive_accuracy: 0.8563, prior_entropy: 0.734, recall: 0.8563, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.8336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 13.3644, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 12.7083, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.963, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -48.7378, mean_absolute_error: 0.3368, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0313, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4462, f_measure: 0.4603, kappa: -0.0633, kb_relative_information_score: -571.8791, mean_absolute_error: 0.5881, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6341, predictive_accuracy: 0.4119, prior_entropy: 0.734, recall: 0.4119, relative_absolute_error: 1.8008, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7669, root_relative_squared_error: 1.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.8298, kappa: 0.4787, kb_relative_information_score: 149.5595, mean_absolute_error: 0.213, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8301, predictive_accuracy: 0.8295, prior_entropy: 0.734, recall: 0.8295, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 16.2281, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -34.0957, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0216, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.817, kappa: 0.3986, kb_relative_information_score: 132.7494, mean_absolute_error: 0.2296, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.819, predictive_accuracy: 0.8352, prior_entropy: 0.734, recall: 0.8352, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.8383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -5.3306, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.8227, kappa: 0.4223, kb_relative_information_score: 150.4822, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8221, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.6578, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.8767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 9.9582, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9762, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -82.717, mean_absolute_error: 0.3414, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0454, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.406, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.5407, kappa: -0.013, kb_relative_information_score: -422.441, mean_absolute_error: 0.5077, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6675, predictive_accuracy: 0.4923, prior_entropy: 0.734, recall: 0.4923, relative_absolute_error: 1.5544, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7125, root_relative_squared_error: 1.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.756, kappa: 0.1991, kb_relative_information_score: 86.2436, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.746, predictive_accuracy: 0.7797, prior_entropy: 0.734, recall: 0.7797, relative_absolute_error: 0.7576, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.352, root_relative_squared_error: 0.8719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -57.1452, mean_absolute_error: 0.3386, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0369, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 3.5152, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.8191, kappa: 0.4547, kb_relative_information_score: 100.0458, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8227, predictive_accuracy: 0.8161, prior_entropy: 0.734, recall: 0.8161, relative_absolute_error: 0.7634, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 4.1809, mean_absolute_error: 0.3231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9893, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -27.9083, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0176, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7562, kappa: 0.1744, kb_relative_information_score: 36.792, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7753, predictive_accuracy: 0.8065, prior_entropy: 0.734, recall: 0.8065, relative_absolute_error: 0.87, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, kb_relative_information_score: 33.0384, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.8959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8357, kappa: 0.4916, kb_relative_information_score: 124.0275, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8344, predictive_accuracy: 0.8372, prior_entropy: 0.734, recall: 0.8372, relative_absolute_error: 0.7072, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3496, root_relative_squared_error: 0.8659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -1.01, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 13.0265, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -0.3834, mean_absolute_error: 0.3262, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -0.068, mean_absolute_error: 0.3233, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.588, kappa: 0.0539, kb_relative_information_score: -326.3737, mean_absolute_error: 0.4559, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6992, predictive_accuracy: 0.5441, prior_entropy: 0.734, recall: 0.5441, relative_absolute_error: 1.3961, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.6752, root_relative_squared_error: 1.6727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8361, kappa: 0.4885, kb_relative_information_score: 119.8363, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8339, predictive_accuracy: 0.8391, prior_entropy: 0.734, recall: 0.8391, relative_absolute_error: 0.6991, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3439, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 82.3485, mean_absolute_error: 0.2583, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.42, root_relative_squared_error: 1.0403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 6.6674, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -125.2787, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.086, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4068, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7181, kappa: 0.043, kb_relative_information_score: -18.2661, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7084, predictive_accuracy: 0.7854, prior_entropy: 0.734, recall: 0.7854, relative_absolute_error: 0.9769, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -5.6185, mean_absolute_error: 0.3274, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: 3.3252, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -28.518, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -189.1552, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.1384, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.0201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, kb_relative_information_score: 66.6333, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.8923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -317.785, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.257, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4284, root_relative_squared_error: 1.0612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8137, f_measure: 0.8251, kappa: 0.4559, kb_relative_information_score: 100.7852, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.823, predictive_accuracy: 0.8276, prior_entropy: 0.734, recall: 0.8276, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.8553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -41.8169, mean_absolute_error: 0.3353, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 19.1056, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4061, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -142.421, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0988, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4076, root_relative_squared_error: 1.0096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4593, f_measure: 0.4694, kappa: -0.0481, kb_relative_information_score: -554.0888, mean_absolute_error: 0.5785, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.6438, predictive_accuracy: 0.4215, prior_entropy: 0.734, recall: 0.4215, relative_absolute_error: 1.7715, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.7606, root_relative_squared_error: 1.8842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.727, f_measure: 0.8024, kappa: 0.4055, kb_relative_information_score: 109.9066, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8068, predictive_accuracy: 0.7989, prior_entropy: 0.734, recall: 0.7989, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -29.2854, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 17.9569, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -22.8307, mean_absolute_error: 0.3313, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -956.1483, mean_absolute_error: 0.795, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.205, prior_entropy: 0.734, recall: 0.205, relative_absolute_error: 2.4343, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.8916, root_relative_squared_error: 2.2087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, kb_relative_information_score: -45.1646, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0291, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4871, kb_relative_information_score: -10.6386, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -3.8192, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.0256, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 4.1136, mean_absolute_error: 0.3234, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -13.4921, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -23.4162, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0137, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, kb_relative_information_score: 46.1557, mean_absolute_error: 0.2999, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9182, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8283, kappa: 0.4642, kb_relative_information_score: 139.1075, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8259, predictive_accuracy: 0.8314, prior_entropy: 0.734, recall: 0.8314, relative_absolute_error: 0.6765, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.8673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -8.3637, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8143, kappa: 0.3891, kb_relative_information_score: 123.394, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8164, predictive_accuracy: 0.8333, prior_entropy: 0.734, recall: 0.8333, relative_absolute_error: 0.7292, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3401, root_relative_squared_error: 0.8425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -34.9165, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0227, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 73.7052, mean_absolute_error: 0.2659, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4163, root_relative_squared_error: 1.0313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 12.8764, mean_absolute_error: 0.3165, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.969, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4042, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: -28.6435, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 1.0161, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.78, kappa: 0.2592, kb_relative_information_score: 100.9603, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.7959, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.812, kappa: 0.4066, kb_relative_information_score: 159.6979, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.3266, number_of_instances: 522, precision: 0.8081, predictive_accuracy: 0.818, prior_entropy: 0.734, recall: 0.818, relative_absolute_error: 0.6235, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.361, root_relative_squared_error: 0.8942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 14.1047, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9662, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, kb_relative_information_score: 64.8317, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.357, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 2.9153, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: 11.9959, mean_absolute_error: 0.3172, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, kb_relative_information_score: 0.9347, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.3266, number_of_instances: 522, predictive_accuracy: 0.795, prior_entropy: 0.734, recall: 0.795, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4037, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0001,

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