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: 0.9243, f_measure: 0.8484, kappa: 0.6944, kb_relative_information_score: 296.4955, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8505, predictive_accuracy: 0.848, prior_entropy: 0.991, recall: 0.848, relative_absolute_error: 0.428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, kb_relative_information_score: 2.4495, 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: 0.9966, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -4.2489, 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: 0.5, 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: 2.5202, 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: 0.996, 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: -7.2628, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -1.9622, 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: 1.0025, 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: -2.4074, mean_absolute_error: 0.4952, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.003, 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: 0.9952, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 242.3185, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.5895, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3062, root_relative_squared_error: 0.6163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.1724, 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: 1.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.8128, mean_absolute_error: 0.4931, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9987, 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: 0.9734, f_measure: 0.9019, kappa: 0.8012, kb_relative_information_score: 382.2421, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9019, predictive_accuracy: 0.902, prior_entropy: 0.991, recall: 0.902, relative_absolute_error: 0.2448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.258, root_relative_squared_error: 0.5193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 21.1938, mean_absolute_error: 0.4753, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9475, kappa: 0.8934, kb_relative_information_score: 369.4024, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9524, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8801, f_measure: 0.8657, kappa: 0.7287, kb_relative_information_score: 133.3691, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8946, predictive_accuracy: 0.87, prior_entropy: 0.991, recall: 0.87, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.9096, kappa: 0.8165, kb_relative_information_score: 357.8937, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9109, predictive_accuracy: 0.91, prior_entropy: 0.991, recall: 0.91, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -3.2904, 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: 0.8426, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 264.855, mean_absolute_error: 0.2544, 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: 0.5152, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -19.239, mean_absolute_error: 0.507, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.444, prior_entropy: 0.991, recall: 0.444, relative_absolute_error: 1.0268, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 1.5777, 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: 0.5, 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: 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: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 485.7089, mean_absolute_error: 0.014, 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: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9638, kappa: 0.9265, kb_relative_information_score: 463.3087, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9662, predictive_accuracy: 0.964, prior_entropy: 0.991, recall: 0.964, relative_absolute_error: 0.0729, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.3819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 485.7089, mean_absolute_error: 0.014, 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: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 0.7056, f_measure: 0.711, kappa: 0.4135, kb_relative_information_score: 206.7243, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7109, predictive_accuracy: 0.712, prior_entropy: 0.991, recall: 0.712, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9213, f_measure: 0.9201, kappa: 0.8387, kb_relative_information_score: 418.5083, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.921, predictive_accuracy: 0.92, prior_entropy: 0.991, recall: 0.92, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5693,
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: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6983, kappa: 0.418, kb_relative_information_score: 225.0518, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8137, predictive_accuracy: 0.73, prior_entropy: 0.991, recall: 0.73, relative_absolute_error: 0.5468, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8184, kappa: 0.6335, kb_relative_information_score: 314.6527, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8199, predictive_accuracy: 0.818, prior_entropy: 0.991, recall: 0.818, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.8143, kappa: 0.6287, kb_relative_information_score: 320.7618, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8663, predictive_accuracy: 0.824, prior_entropy: 0.991, recall: 0.824, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 0.734, f_measure: 0.7378, kappa: 0.4686, kb_relative_information_score: 233.1973, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.738, prior_entropy: 0.991, recall: 0.738, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1885, f_measure: 0.1985, kappa: -0.6222, kb_relative_information_score: -316.6263, mean_absolute_error: 0.802, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.199, predictive_accuracy: 0.198, prior_entropy: 0.991, recall: 0.198, relative_absolute_error: 1.6243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8955, root_relative_squared_error: 1.8024,
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: 0.2047, f_measure: 0.2145, kappa: -0.5898, kb_relative_information_score: -300.3352, mean_absolute_error: 0.786, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.215, predictive_accuracy: 0.214, prior_entropy: 0.991, recall: 0.214, relative_absolute_error: 1.5919, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8866, root_relative_squared_error: 1.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.912, kappa: 0.8219, kb_relative_information_score: 410.3627, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 0.991, recall: 0.912, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9435, kappa: 0.8851, kb_relative_information_score: 442.9449, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9491, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 489.7817, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.8521, kappa: 0.7008, kb_relative_information_score: 349.2712, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8524, predictive_accuracy: 0.852, prior_entropy: 0.991, recall: 0.852, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7056, kappa: 0.4032, kb_relative_information_score: 200.6152, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7054, predictive_accuracy: 0.706, prior_entropy: 0.991, recall: 0.706, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7892, kappa: 0.5721, kb_relative_information_score: 286.1433, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7895, predictive_accuracy: 0.79, prior_entropy: 0.991, recall: 0.79, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9414, kappa: 0.881, kb_relative_information_score: 440.9085, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9475, predictive_accuracy: 0.942, prior_entropy: 0.991, recall: 0.942, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4847,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7128, kappa: 0.4219, kb_relative_information_score: 206.7243, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7159, predictive_accuracy: 0.712, prior_entropy: 0.991, recall: 0.712, relative_absolute_error: 0.5833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6696, kappa: 0.3301, kb_relative_information_score: 163.9603, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6693, predictive_accuracy: 0.67, prior_entropy: 0.991, recall: 0.67, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.8512, kappa: 0.6978, kb_relative_information_score: 349.2712, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8527, predictive_accuracy: 0.852, prior_entropy: 0.991, recall: 0.852, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 491.8181, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6408, f_measure: 0.6477, kappa: 0.2843, kb_relative_information_score: 143.5964, mean_absolute_error: 0.35, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6477, predictive_accuracy: 0.65, prior_entropy: 0.991, recall: 0.65, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5916, root_relative_squared_error: 1.1907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9455, kappa: 0.8893, kb_relative_information_score: 444.9813, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 0.9662, f_measure: 0.966, kappa: 0.9312, kb_relative_information_score: 465.3451, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9661, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3711,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 0.9429, f_measure: 0.9421, kappa: 0.8829, kb_relative_information_score: 440.9085, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.991, recall: 0.942, relative_absolute_error: 0.1175, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.4847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.2505, f_measure: 0.2509, kappa: -0.5137, kb_relative_information_score: -239.2437, mean_absolute_error: 0.726, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2338, predictive_accuracy: 0.274, prior_entropy: 0.991, recall: 0.274, relative_absolute_error: 1.4704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8521, root_relative_squared_error: 1.7149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9481, kappa: 0.895, kb_relative_information_score: 447.0176, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9484, predictive_accuracy: 0.948, prior_entropy: 0.991, recall: 0.948, relative_absolute_error: 0.1053, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.228, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9658, kappa: 0.9306, kb_relative_information_score: 465.3451, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
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: 0.9392, f_measure: 0.9455, kappa: 0.8893, kb_relative_information_score: 444.9813, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8978, kappa: 0.7928, kb_relative_information_score: 396.108, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.898, predictive_accuracy: 0.898, prior_entropy: 0.991, recall: 0.898, relative_absolute_error: 0.2066, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7331, f_measure: 0.7361, kappa: 0.4658, kb_relative_information_score: 231.1609, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7363, predictive_accuracy: 0.736, prior_entropy: 0.991, recall: 0.736, relative_absolute_error: 0.5347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.9221, kappa: 0.8424, kb_relative_information_score: 420.5446, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9223, predictive_accuracy: 0.922, prior_entropy: 0.991, recall: 0.922, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.7503, kappa: 0.4953, kb_relative_information_score: 245.4156, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.751, predictive_accuracy: 0.75, prior_entropy: 0.991, recall: 0.75, relative_absolute_error: 0.5063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0063,

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