OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 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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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -6.4804, mean_absolute_error: 0.4979, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4982, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.5044, 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: 0.9992, 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: -48.9332, mean_absolute_error: 0.5347, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0829, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6169, root_relative_squared_error: 1.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 9.0551, mean_absolute_error: 0.4864, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -30.4061, mean_absolute_error: 0.5162, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.536, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, kb_relative_information_score: 10.3172, mean_absolute_error: 0.4867, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9856, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.2425, 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: 0.9965, 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: 2.7327, 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: 0.9957, 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: 0.5, kb_relative_information_score: -3.3077, 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: 1.0042, 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: 0.4935, kb_relative_information_score: 4.5108, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -5.5006, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4978, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 3.814, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7751, f_measure: 0.4532, kappa: 0.0647, kb_relative_information_score: 31.9578, mean_absolute_error: 0.4685, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7614, predictive_accuracy: 0.582, prior_entropy: 0.991, recall: 0.582, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4814, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 2.0736, mean_absolute_error: 0.4921, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9968, 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: -3.125, mean_absolute_error: 0.4957, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0039, 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: 0.5, kb_relative_information_score: -13.4876, mean_absolute_error: 0.5027, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5033, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 376.3771, mean_absolute_error: 0.1498, 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: 0.3033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8973, kappa: 0.7914, kb_relative_information_score: 346.7516, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8999, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.331, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2647, root_relative_squared_error: 0.5328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 6.485, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.1457, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.8957, kappa: 0.7885, kb_relative_information_score: 258.4991, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9138, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.774, 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: 0.4935, kb_relative_information_score: 0.1755, 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: 0.4935, kb_relative_information_score: -3.6978, 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: 0.5, kb_relative_information_score: -22.2045, mean_absolute_error: 0.5093, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.516, root_relative_squared_error: 1.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 9.6902, mean_absolute_error: 0.4859, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.912, kappa: 0.8216, kb_relative_information_score: 388.6053, mean_absolute_error: 0.1134, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9119, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.4588, kappa: 0.0003, kb_relative_information_score: -31.5326, mean_absolute_error: 0.522, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5065, predictive_accuracy: 0.478, prior_entropy: 0.991, recall: 0.478, relative_absolute_error: 1.0572, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7225, root_relative_squared_error: 1.4541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.9421, 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: 0.5001, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -38.7638, mean_absolute_error: 0.524, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0613, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5658, root_relative_squared_error: 1.1388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.1094, mean_absolute_error: 0.4944, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0014, 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: 0.5065, f_measure: 0.4942, kappa: 0.0137, kb_relative_information_score: 31.5953, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.5156, predictive_accuracy: 0.54, prior_entropy: 0.991, recall: 0.54, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9229, kappa: 0.8434, kb_relative_information_score: 195.5834, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9331, predictive_accuracy: 0.924, prior_entropy: 0.991, recall: 0.924, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.6975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8889, kappa: 0.7742, kb_relative_information_score: 321.2256, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.894, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -6.6463, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0086, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -1.8377, 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: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.868, kappa: 0.732, kb_relative_information_score: 246.8724, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8773, predictive_accuracy: 0.87, prior_entropy: 0.991, recall: 0.87, relative_absolute_error: 0.5614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3139, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1549, 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: 1.0002, 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: 0.4935, kb_relative_information_score: 3.8933, 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: 0.4976, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7862, kappa: 0.5757, kb_relative_information_score: 145.59, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8529, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4009, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3.7809, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.994, 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: -35.8301, mean_absolute_error: 0.5212, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0556, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5542, root_relative_squared_error: 1.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.6754, 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: 0.999, 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: 2.3146, 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: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8968, kappa: 0.7903, kb_relative_information_score: 272.6359, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9038, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.4101, kappa: -0.012, kb_relative_information_score: -12.7538, mean_absolute_error: 0.5022, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.4956, predictive_accuracy: 0.46, prior_entropy: 0.991, recall: 0.46, relative_absolute_error: 1.0171, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5028, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.1543, 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: 0.9998, 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: -1.4352, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.5742, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9975, 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: 0.4935, kb_relative_information_score: 0.2912, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2656, 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: 0.9755, f_measure: 0.9076, kappa: 0.8125, kb_relative_information_score: 343.0921, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9087, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.3739, mean_absolute_error: 0.4935, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9994, 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: 0.9992, f_measure: 0.988, kappa: 0.9756, kb_relative_information_score: 470.2609, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.1991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -2.5737, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0032, 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: 0.7604, f_measure: 0.6842, kappa: 0.3585, kb_relative_information_score: 80.5919, mean_absolute_error: 0.4277, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6843, predictive_accuracy: 0.686, prior_entropy: 0.991, recall: 0.686, relative_absolute_error: 0.8663, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.7204, 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: 1.0009, 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: 0.8275, f_measure: 0.7447, kappa: 0.4852, kb_relative_information_score: 206.8086, mean_absolute_error: 0.2979, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7468, predictive_accuracy: 0.744, prior_entropy: 0.991, recall: 0.744, relative_absolute_error: 0.6034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9119, kappa: 0.8213, kb_relative_information_score: 307.4495, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.912, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9036, kappa: 0.8043, kb_relative_information_score: 367.7798, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9047, predictive_accuracy: 0.904, prior_entropy: 0.991, recall: 0.904, relative_absolute_error: 0.2796, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.5002, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4983, root_relative_squared_error: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -66.1511, mean_absolute_error: 0.556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.1261, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.7457, root_relative_squared_error: 1.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 4.7318, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4979, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.5258, mean_absolute_error: 0.4966, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0058, 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: 0.8734, f_measure: 0.7996, kappa: 0.5934, kb_relative_information_score: 202.2854, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7996, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.6248, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3834, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 181.5076, mean_absolute_error: 0.3457, 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: 0.7002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.6138, 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: 0.497, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.8932, 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: 1.0011, 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: -3.4787, 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: 1.0044, 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: 0.8394, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 268.4022, mean_absolute_error: 0.2534, 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: 0.5132, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.329, root_relative_squared_error: 0.6622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -21.8136, mean_absolute_error: 0.509, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.0371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 409.7562, mean_absolute_error: 0.1121, 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: 0.227, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.2871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, kb_relative_information_score: -2.1178, mean_absolute_error: 0.4951, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0027, 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: 0.975, f_measure: 0.9156, kappa: 0.8286, kb_relative_information_score: 329.5416, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9171, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.7941, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.989, 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: 0.9508, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 213.7694, mean_absolute_error: 0.3135, 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: 0.6349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.6881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.3518, mean_absolute_error: 0.5026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9157, kappa: 0.8289, kb_relative_information_score: 333.4739, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9165, predictive_accuracy: 0.916, prior_entropy: 0.991, recall: 0.916, relative_absolute_error: 0.3707, 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: 3.8212, mean_absolute_error: 0.4908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4976, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 434.3939, mean_absolute_error: 0.0811, 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: 0.1642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.1208, 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: 0.9902, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.801, f_measure: 0.7161, kappa: 0.4495, kb_relative_information_score: 57.244, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8247, predictive_accuracy: 0.744, prior_entropy: 0.991, recall: 0.744, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.9914, 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: 0.987, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7201, f_measure: 0.6808, kappa: 0.3565, kb_relative_information_score: 56.5849, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.683, predictive_accuracy: 0.68, prior_entropy: 0.991, recall: 0.68, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -9.4129, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0123, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.1347, 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: 0.9982, 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: 1.3799, 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: 0.9731, f_measure: 0.8659, kappa: 0.7289, kb_relative_information_score: 284.4299, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8929, predictive_accuracy: 0.87, prior_entropy: 0.991, recall: 0.87, relative_absolute_error: 0.4772, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2905, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -7.6423, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4988, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8953, kappa: 0.7872, kb_relative_information_score: 333.6759, mean_absolute_error: 0.1785, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8981, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2661, root_relative_squared_error: 0.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 14.6375, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5935, f_measure: 0.4532, kappa: 0.0647, kb_relative_information_score: -4.7663, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7614, predictive_accuracy: 0.582, prior_entropy: 0.991, recall: 0.582, relative_absolute_error: 1.006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 446.6959, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9841, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.12, root_relative_squared_error: 0.2415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.8792, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -0.1823, 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: 0.4935, kb_relative_information_score: -7.9878, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0043,

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